Add job postings generated by script

job-postings/19-01-2025/1.txt

@@ -0,0 +1,64 @@
+As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 
+
+The Capital One Data Insights (CODI) team builds and productionizes platforms that run robust machine learning workflows aimed at solving a wide variety of ML related use cases across Capital One. Examples include: credit card fraud, root cause analysis, or model monitoring. This position sits within our CODI Model Monitoring team, which expands the platform with everything our ML model owners require to monitor the correct operation of models. The features that we build mix optimization, statistics, and backend engineering. 
+
+What you’ll do in the role: 
+
+The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: 
+Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 
+Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). 
+Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 
+Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. 
+Retrain, maintain, and monitor models in production. 
+Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. 
+Construct optimized data pipelines to feed ML models. 
+Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 
+Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 
+Use programming languages like Python, Scala, or Java. 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) 
+At least 3 years of experience designing and building data-intensive solutions using distributed computing 
+At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 
+At least 1 year of experience productionizing, monitoring, and maintaining models 
+
+Preferred Qualifications:
+
+1+ years of experience building, scaling, and optimizing ML systems 
+1+ years of experience with data gathering and preparation for ML models 
+2+ years of experience developing performant, resilient, and maintainable code 
+Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 
+Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 
+3+ years of experience with distributed file systems or multi-node database paradigms 
+Contributed to open source ML software 
+Authored/co-authored a paper on a ML technique, model, or proof of concept 
+3+ years of experience building production-ready data pipelines that feed ML models 
+Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
+
+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.
+
+McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer
+
+Cambridge, MA: $158,600 - $181,000 for Senior Machine Learning Engineer
+
+New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer
+
+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/19-01-2025/10.txt

@@ -0,0 +1,32 @@
+Allen Machine Learning Tutor Jobs
+
+The Varsity Tutors platform has thousands of students looking for online Machine Learning tutors nationally and in Allen. As a tutor who uses the Varsity Tutors platform, you can earn good money, choose your own hours, and truly make a difference in the lives of your students.
+
+Why join our platform?
+
+Enjoy competitive rates and get paid 2x per week.
+Choose to tutor as much or as little as you want.
+Set your own hours and schedule.
+Get paired with students best-suited to your teaching style and preferences (from thousands of potential clients).
+Tutor online (i.e. “work remotely”) using our purpose-built Live Learning Platform.
+Students can take adaptive assessments through the platform and share results to help you decide where to focus.
+We collect payment from the customers, so all you have to do is invoice the session.
+
+What We Look For In a Tutor
+
+You have excellent communication skills and a friendly, approachable personality.
+You can show subject-matter expertise in Machine Learning.
+You have the ability to personalize lessons for each student.
+
+Discover all the ways you can reach students through the online platform:
+
+1-on-1 Online Tutoring: connect with an individual student for a highly personalized learning experience.
+Small Group Classes: meet with small groups (typically 7-9 students) for a more collaborative learning experience.
+Large Live Classes: share your knowledge with hundreds of students at a time.
+Instant Tutoring: accept subject-specific, on-demand tutoring sessions whenever you’d like.
+
+About Varsity Tutors And 1-on-1 Online Tutoring
+
+Our mission is to transform the way people learn. We do this by leveraging advanced technology, AI, and the latest in learning science to facilitate a personalized learning experience. With 1-on-1 Online Tutoring, individual students are connected with tutors for a highly personalized learning experience. We believe our thoughtful approach to matching students with the right tutors can improve outcomes, and we look forward to connecting you with students hungry to learn.
+
+Please note: Varsity Tutors does not contract in: Alaska, California, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

job-postings/19-01-2025/2.txt

@@ -0,0 +1,62 @@
+As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated toproductionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices inmachine learning engineering.
+
+The. Senior Manager Machine Learning Engineering role sits with the Card Tech Machine Learning team as a delivery leader to build and drive strategy, break down complexity, influence roadmaps, and resolve dependencies.
+
+What you’ll do in the role: 
+
+The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
+
+Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 
+Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). 
+Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 
+Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. 
+Retrain, maintain, and monitor models in production. 
+Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models atscale. 
+Construct optimized data pipelines to feed ML models. 
+Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 
+Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 
+Use programming languages like Python, Scala, or Java. 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) 
+At least 4 years of experience programming with Python, Scala, or Java 
+At least 3 years of experience building, scaling, and optimizing ML systems 
+At least 2 years of experience leading teams developing ML solutions 
+At least 4 years of people management experience. 
+
+Preferred Qualifications:
+
+Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 
+4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 
+3+ years of experience developing performant, resilient, and maintainable code 
+3+ years of experience with data gathering and preparation for ML models 
+Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 
+3+ years of experience building production-ready data pipelines that feed ML models 
+Ability to communicate complex technical concepts clearly to a variety of audiences 
+ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 
+
+Capital One will consider sponsoring a new qualified 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.
+
+McLean, VA: $225,400 - $257,200 for Sr. Mgr, Machine Learning Engineering
+
+New York, NY: $245,900 - $280,600 for Sr. Mgr, Machine Learning Engineering
+
+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/19-01-2025/3.txt

@@ -0,0 +1,62 @@
+As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated toproductionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices inmachine learning engineering.
+
+The. Senior Manager Machine Learning Engineering role sits with the Card Tech Machine Learning team as a delivery leader to build and drive strategy, break down complexity, influence roadmaps, and resolve dependencies.
+
+What you’ll do in the role: 
+
+The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
+
+Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 
+Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). 
+Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 
+Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. 
+Retrain, maintain, and monitor models in production. 
+Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models atscale. 
+Construct optimized data pipelines to feed ML models. 
+Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 
+Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 
+Use programming languages like Python, Scala, or Java. 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) 
+At least 4 years of experience programming with Python, Scala, or Java 
+At least 3 years of experience building, scaling, and optimizing ML systems 
+At least 2 years of experience leading teams developing ML solutions 
+At least 4 years of people management experience. 
+
+Preferred Qualifications:
+
+Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 
+4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 
+3+ years of experience developing performant, resilient, and maintainable code 
+3+ years of experience with data gathering and preparation for ML models 
+Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 
+3+ years of experience building production-ready data pipelines that feed ML models 
+Ability to communicate complex technical concepts clearly to a variety of audiences 
+ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 
+
+Capital One will consider sponsoring a new qualified 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.
+
+McLean, VA: $225,400 - $257,200 for Sr. Mgr, Machine Learning Engineering
+
+New York, NY: $245,900 - $280,600 for Sr. Mgr, Machine Learning Engineering
+
+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/19-01-2025/4.txt

@@ -0,0 +1,64 @@
+As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 
+
+The Capital One Data Insights (CODI) team builds and productionizes platforms that run robust machine learning workflows aimed at solving a wide variety of ML related use cases across Capital One. Examples include: credit card fraud, root cause analysis, or model monitoring. This position sits within our CODI Model Monitoring team, which expands the platform with everything our ML model owners require to monitor the correct operation of models. The features that we build mix optimization, statistics, and backend engineering. 
+
+What you’ll do in the role: 
+
+The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: 
+Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 
+Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). 
+Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 
+Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. 
+Retrain, maintain, and monitor models in production. 
+Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. 
+Construct optimized data pipelines to feed ML models. 
+Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 
+Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 
+Use programming languages like Python, Scala, or Java. 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) 
+At least 3 years of experience designing and building data-intensive solutions using distributed computing 
+At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 
+At least 1 year of experience productionizing, monitoring, and maintaining models 
+
+Preferred Qualifications:
+
+1+ years of experience building, scaling, and optimizing ML systems 
+1+ years of experience with data gathering and preparation for ML models 
+2+ years of experience developing performant, resilient, and maintainable code 
+Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 
+Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 
+3+ years of experience with distributed file systems or multi-node database paradigms 
+Contributed to open source ML software 
+Authored/co-authored a paper on a ML technique, model, or proof of concept 
+3+ years of experience building production-ready data pipelines that feed ML models 
+Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
+
+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.
+
+McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer
+
+Cambridge, MA: $158,600 - $181,000 for Senior Machine Learning Engineer
+
+New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer
+
+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/19-01-2025/5.txt

@@ -0,0 +1,64 @@
+As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 
+
+The Capital One Data Insights (CODI) team builds and productionizes platforms that run robust machine learning workflows aimed at solving a wide variety of ML related use cases across Capital One. Examples include: credit card fraud, root cause analysis, or model monitoring. This position sits within our CODI Model Monitoring team, which expands the platform with everything our ML model owners require to monitor the correct operation of models. The features that we build mix optimization, statistics, and backend engineering. 
+
+What you’ll do in the role: 
+
+The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: 
+Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 
+Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). 
+Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 
+Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. 
+Retrain, maintain, and monitor models in production. 
+Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. 
+Construct optimized data pipelines to feed ML models. 
+Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 
+Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 
+Use programming languages like Python, Scala, or Java. 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) 
+At least 3 years of experience designing and building data-intensive solutions using distributed computing 
+At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 
+At least 1 year of experience productionizing, monitoring, and maintaining models 
+
+Preferred Qualifications:
+
+1+ years of experience building, scaling, and optimizing ML systems 
+1+ years of experience with data gathering and preparation for ML models 
+2+ years of experience developing performant, resilient, and maintainable code 
+Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 
+Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 
+3+ years of experience with distributed file systems or multi-node database paradigms 
+Contributed to open source ML software 
+Authored/co-authored a paper on a ML technique, model, or proof of concept 
+3+ years of experience building production-ready data pipelines that feed ML models 
+Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 
+
+At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
+
+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.
+
+McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer
+
+Cambridge, MA: $158,600 - $181,000 for Senior Machine Learning Engineer
+
+New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer
+
+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/19-01-2025/6.txt

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+Ref Number B04-05786 Professional Expertise Research and Research Support Department UCL BEAMS (B04) Location London Working Pattern Full time Salary £43,124–£51,610 Contract Type Fixed-term Working Type On site Available for Secondment No Closing Date 24-Jan-2025
+
+About Us
+
+University College London (UCL) UCL is a multi-disciplinary university with a population of over 13,000 staff and 42,000 students from 150 different countries. Degree programmes are provided in Arts and Humanities, Built Environment, Brain Sciences, Engineering Sciences, Education, Laws, Life Sciences, Mathematical & Physical Sciences, Medical Sciences, Population Health Sciences and Social and Historical Sciences. For more information, please visit http://www.ucl.ac.uk/about UCL Mechanical Engineering UCL Mechanical Engineering has been pioneering the development of engineering education, having taught the core discipline for over 165 years. UCL was home to the UK’s first ever Professor of the Mechanical Principles of Engineering, Eaton Hodgkinson, in 1847. It was also where Sir Alexander Blackie William Kennedy introduced organized laboratory practicals in university education training; a world-leading educational innovation at the time.
+
+About The Role
+
+Do you want to work in a team integrated cutting edge imaging and spatial transcriptomics of the human heart with state-of-the-art ML models to? We are looking for a Post-doctoral Research Fellow with an image analysis/Machine Learning (ML) background to work at integrating correlative high resolution 3D X-ray imaging and Spatial Transcriptomics. You will be based at University College London developing ML based piplines to i) segment 3D tissue strucutres from Hierarchical Phase-Contrast Tomography (HiP-CT) data (see mecheng.ucl.ac.uk/HiP-CT), ii) use these structures as a base line to perform registration between 3D HiP-CT, 2D histological sections and spatial transcriptomic. You will collaborate closely with the project team at Cambridge where spatial transciptomic data is being acquired and with collegues at the European Synchrotron (ESRF) in France where HiP-CT scans are performed.. This post is funded for 2 years in the first instance, with the possibility of extension. A job description and person specification can be accessed at the bottom of this page. If you wish to discuss the post informally, please contact Claire Walsh ([email protected] ) or for application process queries Ruikang Xue ([email protected]).
+
+About You
+
+The post will require a motivated researcher with experience in machine learning for segmentation and image registration. You will have a PhD and extensive knowledge and expertise in a relevant field. It is desirable to have experience in handling large imaging data. Your expertise should be at a level appropriate for the conduct of research and publishing new knowledge in leading international research journals. The post-holder will need to show a high level of initiative and an ability to work collaboratively and independently. Applicants should have good team-working skills and a strong command of English. You will join a dynamic international multidisciplinary group of academics, clinicians, beamline scientists, post-docs and PhD students developing and applying synchrotron X-ray and other techniques to study biological systems. You will report to Dr Claire Walsh & Prof. Peter Lee at UCL.
+
+What we offer
+
+For information about our rewards and benefits please visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits.
+
+Our commitment to Equality, Diversity and Inclusion
+
+As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian, and ethnic minority backgrounds; disabled people and LGBTQI+ people.
+
+,

job-postings/19-01-2025/7.txt

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+< Back
+
+Senior Machine Learning Engineer
+
+Apply Now
+
+Skopje,Macedonia
+
+Job Type
+
+Full Time
+
+ITQuarks is a research and development company that provides a unique combination of expertise in machine learning, optimization and data processing. We are expanding our team for working in on-the-go automotive software fixes and predictive maintenance for connected vehicles.
+
+In one sentence
+
+Grow in innovative company culture and work on the next generation of Artificial Immune systems.
+
+What will your job look like?
+
+Work on algorithms in the area of anomaly detection and LLM.
+Probabilistic programming and Bayesian Inference.
+Technologies you will meet during work in Python, Keras, Tensorflow, PyTorch.
+Data transformation and analysis.
+
+All You need is ...
+
+Good background in Probabilistic mathematics.
+Machine Learning experience with Tensorflow or PyTorch.
+Python libraries with Pandas , Scipy, Numpy.
+Background in traning and finetuning Transformers or Autoencoders networks.
+
+Apply at [email protected]
+
+Apply Now

job-postings/19-01-2025/8.txt

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+The team at Advanced Space is leading humanity back to the Moon and pioneering innovative solutions in the space industry. Based in Westminster Colorado, this incredible team is looking for a Staff Machine Learning Engineer who’s eager to push the state of the art in the aerospace industry.
+
+This position is responsible for designing, building, and testing machine learning models and systems that can solve real-world problems in domains such as spacecraft autonomy, anomaly detection and classification, natural language processing, uncertainty quantification, and multimodal signal detection & characterization. This position will be headquartered at our Westminster, Colorado offices and is primarily an on-premises position.
+
+The Machine Learning Engineer will work closely with an engineering team composed primarily of aerospace and software engineers. The ideal candidate has a strong background in software development best practices, mathematics, and statistics, as well as experience with machine learning frameworks such as TensorFlow or PyTorch. Candidates should also have excellent programming skills in Python and be familiar with data processing and analysis tools. Candidates should be able to work independently and collaboratively. Candidates should also have a passion for learning, innovation, and furthering Advanced Space’s mission to support the sustainable exploration, development, and settlement of space.
+
+Advanced Space is a rapidly growing, privately held business that incorporates our core values in all that we do. Advanced Space exists to support the sustainable exploration, development, and settlement of space and operates with four core values: We are customer obsessed and mission focused; when we see it, we solve it; we are one team, motivated by our vision; and we bring technical excellence and inexhaustible curiosity. Look at the Sr. DevOps position to see the placement.
+
+Responsibilities:
+
+Research and implement state-of-the-art machine learning algorithms and techniques
+Design, develop, and deploy machine learning models and systems that can address various engineering problems and opportunities
+Perform data analysis, preprocessing, feature engineering, and model evaluation
+Optimize the performance, scalability, and reliability of machine learning solutions
+Collaborate with cross-functional teams to understand the requirements and deliver high- quality products
+Document and communicate the results and insights of machine learning projects
+
+
+Required Skills & Qualifications:
+
+3-5 years of hands-on professional experience. Master’s degree or PhD research may contribute to this experience.
+Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field
+Proficient with one or more machine learning model development frameworks, especially PyTorch or TensorFlow.
+Familiar with the basics of machine learning (i.e. linear layers, activation functions, recurrence, convolution, attention).
+Proficiency in Python programming language
+Expertise in a programming language (Python preferred)
+Familiar with data processing and analysis tools such as Pandas, NumPy, Scikit-learn, etc.
+Knowledge of machine learning concepts such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, etc.
+Experience with applying machine learning to real-world problems, such as aerospace engineering or another discipline in the sciences.
+Strong problem-solving and analytical skills
+Excellent communication and presentation skills
+Ability to work independently and collaboratively in a fast-paced environment
+Proficient with git version control
+Familiar with the principles and practice of aerospace engineering and/or another engineering field. Examples include nonlinear estimation, numerical simulation, nonlinear optimization, and control theory.
+
+
+Experience in the following would be beneficial but not mandatory:
+
+CUDA C/C++ GPU computing
+High performance computing
+Scientific computing
+Natural language processing
+Computer vision
+
+
+Compensation and Benefits:
+
+Base Salary Range - $88,906- $115,646 based on role, employee experience, and location
+Signing bonus
+Quarterly Performance bonuses
+Company provided health insurance and 401K plan upon eligibility
+Unlimited vacation time and extensive flexibility
+Relocation Assistance
+
+
+Eligibility Requirements
+
+Applicants must be a US Person (citizen or Green Card Holder/permanent resident, or protected individual)
+
+Applicants must be able to work in office in Westminster, CO 3-5 days/week.
+
+About the company:
+
+About the Company:
+
+Advanced Space exists to enable the sustainable exploration, development, and settlement of space through software and services that leverage unique subject matter expertise. The company is actively supporting mission and cutting-edge capabilities spanning commercial, civil, and national security customers. Our core business is focused on three areas: (1) mission enabling services, (2) technology solutions and (3) mission solutions. Through its mission enabling services, Advanced Space provides mission and flight optimization, mission design, mission systems engineering. With its technology solutions Advanced Space provides its customers with trusted AI/ML/autonomy expertise, flight-demonstrated applications, and analysis at scale. Advanced Space offers Mission Solutions with unique turn-key missions, data and capabilities purchases and demonstrated cislunar and Martian success. Advanced Space is mission focused as the owner and operator of CAPSTONE™ for NASA and Prime contractor for Oracle for AFRL.These competencies are leveraged by a dynamic, flexible, and agile team with cross domain knowledge. We have a small but growing team that works collaboratively across projects. We provide flexibility, and an opportunity for passionate employees to contribute directly to meaningful projects. Trusted to take on the challenge, the team at Advanced Space is Delivering Innovation to Orbit™ to the Moon, Mars, and beyond.
+
+Advanced Space, LLC is an equal opportunity employer.
+
+Advanced Space, LLC recruits, employs, trains, compensates and promotes regardless of race, religion,
+
+color, national origin, sex, disability, age, veteran status, and other protected status as required by
+
+applicable law.

job-postings/19-01-2025/9.txt

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+Highland Park Machine Learning Tutor Jobs
+
+The Varsity Tutors platform has thousands of students looking for online Machine Learning tutors nationally and in Highland Park. As a tutor who uses the Varsity Tutors platform, you can earn good money, choose your own hours, and truly make a difference in the lives of your students.
+
+Why join our platform?
+
+Enjoy competitive rates and get paid 2x per week.
+Choose to tutor as much or as little as you want.
+Set your own hours and schedule.
+Get paired with students best-suited to your teaching style and preferences (from thousands of potential clients).
+Tutor online (i.e. “work remotely”) using our purpose-built Live Learning Platform.
+Students can take adaptive assessments through the platform and share results to help you decide where to focus.
+We collect payment from the customers, so all you have to do is invoice the session.
+
+What We Look For In a Tutor
+
+You have excellent communication skills and a friendly, approachable personality.
+You can show subject-matter expertise in Machine Learning.
+You have the ability to personalize lessons for each student.
+
+Discover all the ways you can reach students through the online platform:
+
+1-on-1 Online Tutoring: connect with an individual student for a highly personalized learning experience.
+Small Group Classes: meet with small groups (typically 7-9 students) for a more collaborative learning experience.
+Large Live Classes: share your knowledge with hundreds of students at a time.
+Instant Tutoring: accept subject-specific, on-demand tutoring sessions whenever you’d like.
+
+About Varsity Tutors And 1-on-1 Online Tutoring
+
+Our mission is to transform the way people learn. We do this by leveraging advanced technology, AI, and the latest in learning science to facilitate a personalized learning experience. With 1-on-1 Online Tutoring, individual students are connected with tutors for a highly personalized learning experience. We believe our thoughtful approach to matching students with the right tutors can improve outcomes, and we look forward to connecting you with students hungry to learn.
+
+Please note: Varsity Tutors does not contract in: Alaska, California, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.