Add job postings generated by script

job-postings/26-01-2025/1.txt

@@ -0,0 +1,69 @@
+Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms?
+
+At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One’s commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One.
+
+As a Senior Manager of Technical Program Management (TPM) on Capital One’s Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals.
+
+In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve.
+
+Our TPM Sr. Managers have:
+
+Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle 
+Exceptional communication and collaboration skills 
+Excellent problem solving and influencing skills 
+A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker 
+Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives 
+Deep focus on execution, follow-through, accountability, and results 
+Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. 
+Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners 
+Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. 
+Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing 
+Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end 
+
+Basic Qualifications:
+
+At least 5 years of experience managing technical programs 
+Bachelor's degree 
+
+Preferred Qualifications:
+
+5+ years of experience designing and building data-intensive solutions using distributed computing 
+3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 
+3+ years experience building highly scalable mobile products & platforms 
+3+ years of experience with Agile delivery 
+3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 
+4+ years of Technical Program Management experience 
+2+ years of Machine Learning experience 
+Experience in building systems & solutions within a highly regulated environment 
+Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) 
+PMP, Lean, Agile, or Six Sigma certification 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+Cambridge, MA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+McLean, VA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+New York, NY: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Richmond, VA: $175,500 - $200,300 for Sr. Manager, Technical Program Management
+
+San Francisco, CA: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/26-01-2025/10.txt

@@ -0,0 +1,38 @@
+Job Title/Role MLOPS Architect (Machine Learning / AI Architect) Experience level required (Years) 10+ Mandatory required skills AWS, Python, Airflow, Kedro, or Luigi Preferred/Desired skills Hadoop, Spark, or similar frameworks. Experience with graph databases a plus Please share the Detailed Job Description 
+
+Designing Cloud Architecture:
+As an AWS Cloud Architect, you’ll be responsible for designing cloud architectures, preferably on AWS, Azure, or multi-cloud environments.
+Your architecture design should enable seamless scalability, flexibility, and efficient resource utilization for MLOps implementations.
+Data Pipeline Design:
+Develop data taxonomy and data pipeline designs to ensure efficient data management, processing, and utilization across the AI/ML platform.
+These pipelines are critical for ingesting, transforming, and serving data to machine learning models.
+MLOps Implementation:
+Collaborate with data scientists, engineers, and DevOps teams to implement MLOps best practices.
+This involves setting up continuous integration and continuous deployment (CI/CD) pipelines for model training, deployment, and monitoring.
+Infrastructure as Code (IaC):
+Use tools like AWS CloudFormation or Terraform to define and provision infrastructure resources.
+Infrastructure as Code allows you to manage your cloud resources programmatically, ensuring consistency and reproducibility.
+Security and Compliance:
+Ensure that the MLOps architecture adheres to security best practices and compliance requirements.
+Implement access controls, encryption, and monitoring to protect sensitive data and models.
+Performance Optimization:
+Optimize cloud resources for cost-effectiveness and performance.
+Consider factors like auto-scaling, load balancing, and efficient use of compute resources.
+Monitoring and Troubleshooting:
+Set up monitoring and alerting for the MLOps infrastructure.
+Be prepared to troubleshoot issues related to infrastructure, data pipelines, and model deployments.
+Collaboration and Communication:
+Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders.
+Effective communication is essential to align technical decisions with business goals.
+Activities –
+
+Strong experience in Python
+
+Experience in data product development, analytical models, and model governance
+Experience with AI workflow management tools such as Airflow, Kedro, or Luigi
+Exposure statistical modeling, machine learning algorithms, and predictive analytics.
+Highly structured and organized work planning skills
+Strong understanding of the AI development lifecycle and Agile practices
+Proficiency in big data technologies like Hadoop, Spark, or similar frameworks. Experience with graph databases a plus.
+Extensive Experience in working with cloud computing platforms - AWS
+Proven track record of delivering data products in environments with strict adherence to security and model governance standards.

job-postings/26-01-2025/2.txt

@@ -0,0 +1,69 @@
+Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms?
+
+At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One’s commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One.
+
+As a Senior Manager of Technical Program Management (TPM) on Capital One’s Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals.
+
+In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve.
+
+Our TPM Sr. Managers have:
+
+Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle 
+Exceptional communication and collaboration skills 
+Excellent problem solving and influencing skills 
+A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker 
+Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives 
+Deep focus on execution, follow-through, accountability, and results 
+Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. 
+Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners 
+Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. 
+Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing 
+Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end 
+
+Basic Qualifications:
+
+At least 5 years of experience managing technical programs 
+Bachelor's degree 
+
+Preferred Qualifications:
+
+5+ years of experience designing and building data-intensive solutions using distributed computing 
+3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 
+3+ years experience building highly scalable mobile products & platforms 
+3+ years of experience with Agile delivery 
+3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 
+4+ years of Technical Program Management experience 
+2+ years of Machine Learning experience 
+Experience in building systems & solutions within a highly regulated environment 
+Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) 
+PMP, Lean, Agile, or Six Sigma certification 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+Cambridge, MA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+McLean, VA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+New York, NY: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Richmond, VA: $175,500 - $200,300 for Sr. Manager, Technical Program Management
+
+San Francisco, CA: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/26-01-2025/3.txt

@@ -0,0 +1,69 @@
+Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms?
+
+At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One’s commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One.
+
+As a Senior Manager of Technical Program Management (TPM) on Capital One’s Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals.
+
+In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve.
+
+Our TPM Sr. Managers have:
+
+Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle 
+Exceptional communication and collaboration skills 
+Excellent problem solving and influencing skills 
+A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker 
+Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives 
+Deep focus on execution, follow-through, accountability, and results 
+Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. 
+Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners 
+Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. 
+Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing 
+Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end 
+
+Basic Qualifications:
+
+At least 5 years of experience managing technical programs 
+Bachelor's degree 
+
+Preferred Qualifications:
+
+5+ years of experience designing and building data-intensive solutions using distributed computing 
+3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 
+3+ years experience building highly scalable mobile products & platforms 
+3+ years of experience with Agile delivery 
+3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 
+4+ years of Technical Program Management experience 
+2+ years of Machine Learning experience 
+Experience in building systems & solutions within a highly regulated environment 
+Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) 
+PMP, Lean, Agile, or Six Sigma certification 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+Cambridge, MA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+McLean, VA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+New York, NY: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Richmond, VA: $175,500 - $200,300 for Sr. Manager, Technical Program Management
+
+San Francisco, CA: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/26-01-2025/4.txt

@@ -0,0 +1,69 @@
+Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms?
+
+At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One’s commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One.
+
+As a Senior Manager of Technical Program Management (TPM) on Capital One’s Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals.
+
+In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve.
+
+Our TPM Sr. Managers have:
+
+Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle 
+Exceptional communication and collaboration skills 
+Excellent problem solving and influencing skills 
+A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker 
+Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives 
+Deep focus on execution, follow-through, accountability, and results 
+Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. 
+Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners 
+Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. 
+Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing 
+Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end 
+
+Basic Qualifications:
+
+At least 5 years of experience managing technical programs 
+Bachelor's degree 
+
+Preferred Qualifications:
+
+5+ years of experience designing and building data-intensive solutions using distributed computing 
+3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 
+3+ years experience building highly scalable mobile products & platforms 
+3+ years of experience with Agile delivery 
+3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 
+4+ years of Technical Program Management experience 
+2+ years of Machine Learning experience 
+Experience in building systems & solutions within a highly regulated environment 
+Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) 
+PMP, Lean, Agile, or Six Sigma certification 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+Cambridge, MA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+McLean, VA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+New York, NY: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Richmond, VA: $175,500 - $200,300 for Sr. Manager, Technical Program Management
+
+San Francisco, CA: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/26-01-2025/5.txt

@@ -0,0 +1,69 @@
+Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms?
+
+At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One’s commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One.
+
+As a Senior Manager of Technical Program Management (TPM) on Capital One’s Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals.
+
+In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve.
+
+Our TPM Sr. Managers have:
+
+Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle 
+Exceptional communication and collaboration skills 
+Excellent problem solving and influencing skills 
+A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker 
+Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives 
+Deep focus on execution, follow-through, accountability, and results 
+Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. 
+Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners 
+Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. 
+Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing 
+Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end 
+
+Basic Qualifications:
+
+At least 5 years of experience managing technical programs 
+Bachelor's degree 
+
+Preferred Qualifications:
+
+5+ years of experience designing and building data-intensive solutions using distributed computing 
+3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 
+3+ years experience building highly scalable mobile products & platforms 
+3+ years of experience with Agile delivery 
+3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 
+4+ years of Technical Program Management experience 
+2+ years of Machine Learning experience 
+Experience in building systems & solutions within a highly regulated environment 
+Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) 
+PMP, Lean, Agile, or Six Sigma certification 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+Cambridge, MA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+McLean, VA: $193,000 - $220,300 for Sr. Manager, Technical Program Management
+
+New York, NY: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Richmond, VA: $175,500 - $200,300 for Sr. Manager, Technical Program Management
+
+San Francisco, CA: $210,500 - $240,300 for Sr. Manager, Technical Program Management
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/26-01-2025/6.txt

@@ -0,0 +1,39 @@
+Workana is the largest remote work platform for talents in Latin America. Our new segment Workana Premium focuses on matching the most exceptional professionals with leading and innovative companies around the globe. Enjoy competitive compensation, dedicated support, and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.
+
+We are proud to present you with the following opportunity.
+
+About Our Client:
+
+The client is redefining the AdTech landscape with its innovative platform that leverages real-time, consumer-permissioned data to drive actionable outcomes. Their solutions empower businesses to tap into rich insights, customizable audience segments, and measurable results, creating a transparent and efficient ecosystem for advertisers. Through their platform's three core products—Insights, Activation, and Measurement—they equip businesses with the tools to unlock the full potential of first-party data while enabling consumers to benefit from equitable financial opportunities. By connecting businesses with high-quality, permissioned data, they deliver impactful campaigns and measurable ROI.
+
+Role Overview:
+
+As a Machine Learning Engineer, you will play a key role in developing and deploying machine learning models that power the AdTech platform's core functionalities, including insights generation, audience segmentation, and campaign measurement. You will work on designing scalable ML pipelines, experimenting with advanced algorithms, and leveraging first-party data to drive impactful business outcomes. This role is perfect for someone passionate about creating cutting-edge machine learning solutions and working in a fast-paced, mission-driven environment.
+
+Responsibilities:
+
+Design, develop, and deploy machine learning models to enhance audience segmentation, insights generation, and performance measurement
+Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment
+Collaborate with data engineers to ensure seamless integration of ML models with real-time data pipelines using tools like BigQuery and SpannerDB
+Experiment with advanced algorithms in areas such as predictive modeling, recommendation systems, and natural language processing to drive platform innovation
+Optimize ML models for scalability and performance, ensuring they deliver actionable insights and measurable outcomes in real-time
+Monitor and maintain deployed models, implementing retraining pipelines to ensure models stay accurate and relevant
+
+
+Requirements
+
+4+ years of experience as a Machine Learning Engineer, Data Scientist, or a similar role
+Strong proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or Scikit-learn
+Hands-on experience building and deploying ML pipelines in production environments
+Knowledge of data preprocessing techniques and experience working with large datasets
+Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes
+Strong understanding of supervised and unsupervised learning techniques, including predictive modeling and clustering algorithms
+Experience with MLOps practices, including CI/CD for ML pipelines and model monitoring
+
+
+Benefits
+
+Compensation in USD
+Fully remote work
+Challenging project - one of the first of that kind in the region
+Growth and Learning Opportunity

job-postings/26-01-2025/7.txt

@@ -0,0 +1,39 @@
+Workana is the largest remote work platform for talents in Latin America. Our new segment Workana Premium focuses on matching the most exceptional professionals with leading and innovative companies around the globe. Enjoy competitive compensation, dedicated support, and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.
+
+We are proud to present you with the following opportunity.
+
+About Our Client:
+
+The client is redefining the AdTech landscape with its innovative platform that leverages real-time, consumer-permissioned data to drive actionable outcomes. Their solutions empower businesses to tap into rich insights, customizable audience segments, and measurable results, creating a transparent and efficient ecosystem for advertisers. Through their platform's three core products—Insights, Activation, and Measurement—they equip businesses with the tools to unlock the full potential of first-party data while enabling consumers to benefit from equitable financial opportunities. By connecting businesses with high-quality, permissioned data, they deliver impactful campaigns and measurable ROI.
+
+Role Overview:
+
+As a Machine Learning Engineer, you will play a key role in developing and deploying machine learning models that power the AdTech platform's core functionalities, including insights generation, audience segmentation, and campaign measurement. You will work on designing scalable ML pipelines, experimenting with advanced algorithms, and leveraging first-party data to drive impactful business outcomes. This role is perfect for someone passionate about creating cutting-edge machine learning solutions and working in a fast-paced, mission-driven environment.
+
+Responsibilities:
+
+Design, develop, and deploy machine learning models to enhance audience segmentation, insights generation, and performance measurement
+Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment
+Collaborate with data engineers to ensure seamless integration of ML models with real-time data pipelines using tools like BigQuery and SpannerDB
+Experiment with advanced algorithms in areas such as predictive modeling, recommendation systems, and natural language processing to drive platform innovation
+Optimize ML models for scalability and performance, ensuring they deliver actionable insights and measurable outcomes in real-time
+Monitor and maintain deployed models, implementing retraining pipelines to ensure models stay accurate and relevant
+
+
+Requirements
+
+4+ years of experience as a Machine Learning Engineer, Data Scientist, or a similar role
+Strong proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or Scikit-learn
+Hands-on experience building and deploying ML pipelines in production environments
+Knowledge of data preprocessing techniques and experience working with large datasets
+Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes
+Strong understanding of supervised and unsupervised learning techniques, including predictive modeling and clustering algorithms
+Experience with MLOps practices, including CI/CD for ML pipelines and model monitoring
+
+
+Benefits
+
+Compensation in USD
+Fully remote work
+Challenging project - one of the first of that kind in the region
+Growth and Learning Opportunity

job-postings/26-01-2025/8.txt

@@ -0,0 +1,57 @@
+Inkitt is building the Disney of the 21st Century, standing at the forefront of technology and entertainment. Leveraging AI and predictive algorithms, Inkitt discovers unknown stories and turns them into blockbuster hits, producing a new $1M ebook every 4 weeks and selling directly to consumers through its Galatea app. Inkitt has become the 11th most bestseller-generating publisher in the world, boasting a 40x higher hit-rate than traditional publishers. Recently raising a Series C and backed by some of the top VC’s such as: Khosla, Kleiner Perkins, and NEA Ventures, our recent expansion into GalateaTV is only the beginning of our journey to becoming the next-gen entertainment powerhouse.
+
+What You'll Do:
+
+Collaborate with cross-functional teams, including Product, Data Science, and Engineering, to design and implement scalable recommendation systems that deliver hyper-personalized experiences to users
+Develop and optimize machine learning models for recommendation engines, utilizing techniques such as collaborative filtering, content-based filtering, and deep learning
+Build and maintain infrastructure for model training, deployment, and real-time/batch inference, ensuring high performance and reliability
+Conduct A/B tests and analyze experiment results to iterate on recommendation strategies and improve key metrics such as user engagement and retention
+Contribute to the design and implementation of robust APIs and services, primarily in Python, Go, and TypeScript, to support recommendation features across our apps (Inkitt, Galatea, and GalateaTV)
+Ensure code and systems meet stringent reliability and performance standards, scaling seamlessly to support millions of users
+
+
+What You'll Bring:
+
+Master’s or PhD in Computer Science, Machine Learning, or a related field
+5+ years of experience in developing and deploying recommendation systems at scale
+Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with GoAPI and TypeScript is a plus
+Deep understanding of machine learning algorithms and their application in personalized content recommendations
+Proven ability to move from theoretical models to practical, scalable application logic in production environments
+Experience with distributed systems and cloud infrastructure, such as AWS, GCP, or Azure
+A strong focus on reliability, performance, and maintainability in engineering practices
+
+
+Who We Are Looking For:
+
+Autonomous
+Bring solutions instead of problems
+Data driven
+Quick to action
+A high functioning workaholic
+Looking for exponential career growth
+Have lots of fun building a generational AI x Entertainment company
+
+
+What We'll Offer: 
+
+401k plan, designed to help you save for the future
+Health benefits tailored to your needs, including medical, dental, and vision coverage
+Professional coaching for everyone
+Team-building events, including our annual Tulum trip
+Unlimited access to our Galatea app and Galatea TV app
+Unlimited budget for self-development books
+Charity donation of your choice at your one year anniversary
+Free lunch in office everyday
+Class Pass membership for US based employee and gym access for Berlin employees
+Dog/cat friendly offices in Berlin and San Francisco
+
+
+180,000 - 250,000 a year
+
+At Inkitt, we strive to build a company culture and provide employment opportunities based on diversity and inclusion. We believe every author should have an equal opportunity to succeed, as should our team members. As a growing team from 20+ countries, we welcome everyone to apply.
+
+We look forward to hearing from you!
+
+Check out our Careers Blog 💼
+
+Follow us on Instagram & LinkedIn! 💻

job-postings/26-01-2025/9.txt

@@ -0,0 +1,44 @@
+The Position
+
+The Position
+
+A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Genentech.
+
+The Opportunity
+
+At Genentech Computational Sciences (gCS) Prescient Design, we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking talented engineers with a passion for building large-scale, distributed machine-learning algorithms and systems that will transform the drug discovery process.
+
+The Frey lab within the Large Molecule AI/ML Department of Prescient is looking for exceptional machine learning scientists who want to perform high-quality research at the cross-section of machine learning and biology that have a direct impact in large molecule drug discovery. Researchers will primarily focus on the deep learning subfield of machine learning and should have a strong interest in fundamental research in self-supervised learning and training and fine-tuning foundation models.
+
+In this role, you will:
+
+Develop novel Computational Biology/Machine Learning methods to answer challenging research questions in LMDD
+Work with the Genentech Large Language Model team to build and apply LLMs for therapeutic molecule design
+Work with biological data from heterogeneous sources
+Form close working relationships with research teams across the gRED organization
+Contribute to and drive publications and present scientific findings at internal/external venues.
+
+Who You Are
+
+You have a PhD degree in Computer Science, Computational Biology, Physics or related disciplines, or an MS degree in the above disciplines with 3+ years of industry research experience.
+You have demonstrated experience with Python and deep learning libraries such as Pytorch and/or Jax.
+You have demonstrated research experience, including at least one first-author publication or equivalent.
+You have strong communication and collaboration skills
+
+Preferred
+
+Experience working with data from biology, immunology or related disciplines
+Experience with research related to large language models
+Public portfolio of computational projects (available on e.g. GitHub)
+
+#gCS
+
+#tech4lifeAI
+
+Relocation benefits are available for this job posting
+
+The expected salary range for this position based on the primary location of New York City is $144,900 - 269,100 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. 
+
+Benefits
+
+Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.