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job-postings/16-02-2025/1.txt

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+Who is Recruiting from Scratch : 
+
+Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.
+
+https://www.recruitingfromscratch.com/
+
+Lead Machine Learning Engineer - AI-Powered Customer Experience Platform Silicon Valley (San Mateo, CA) | $200K + 0.25% Equity | H1B Transfers Welcome
+
+Our client, a rapidly growing AI startup in the customer experience space, is seeking a Lead Machine Learning Engineer to drive their AI innovation and build their ML team from the ground up. They've seen 4x growth in 2024 and are backed by prominent Silicon Valley investors including Village Global (backed by Jeff Bezos, Bill Gates, and Reid Hoffman) and Bling Capital, having raised $7.5M to date.
+
+The Company:
+
+Innovating in the CX space with AI agents, automation, and GenAI solutions 
+Empowering non-technical teams to build sophisticated customer support automation 
+20+ person team led by repeat founders (ex-Uber, Stanford MBA, ex-Plug & Play) 
+Impressive customer roster including Dollar Shave Club, Minted, and NomNomNow (acquired for $1B) 
+Series A fundraise planned for Q1 2025 
+
+The Role: As Lead Machine Learning Engineer, you'll spearhead the development of cutting-edge AI solutions that transform customer support automation. This is a unique opportunity to build and lead a team while working directly on product innovation that impacts major brands.
+
+Key Responsibilities:
+
+Drive ML/AI strategy development and implementation 
+Build and lead a high-performing machine learning team 
+Pioneer innovations in AI-powered customer support automation 
+Collaborate across product and engineering teams 
+Stay at the forefront of AI/ML advancements, particularly in NLP and GenAI 
+Shape overall technical vision and strategy 
+
+Required Qualifications:
+
+5+ years of ML/AI experience 
+Strong startup background, ideally pre-Series A 
+Deep expertise in NLP and large language models 
+Full-stack ML capabilities from training to deployment 
+Proficiency in Python, Scikit-Learn, TensorFlow, and PyTorch 
+Experience with AWS services (S3, Kinesis, EC2) 
+Demonstrated leadership experience (tech lead, EM, or similar) 
+
+Preferred Qualifications:
+
+Experience in CX or support automation 
+Master's or PhD in Computer Science, ML, or related field 
+Technical co-founder or early startup experience 
+
+Location & Benefits:
+
+Hybrid work model (3+ days in San Mateo office) 
+Competitive salary ($200K) 
+Meaningful equity (0.25%) 
+Opportunity to join a fast-moving team that values transparency and ownership

job-postings/16-02-2025/10.txt

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+Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
+
+The Position
+
+Prescient Design has joined Genentech’s Research and Early Development organization (gRED) in order to apply their cutting-edge technology and machine learning approach to our drug discovery efforts. We believe that Prescient Design’s platform and expertise, combined with our growing internal computational capabilities, can ultimately help us bring better medicines to patients, faster.
+
+Our Machine Learning for Drug Discovery team is focused on advancing fundamental machine learning, especially generative models, and their application to real-world challenges in drug discovery. Our mission is to uncover ideas and technologies that will make a meaningful impact on healthcare, shaping the future of how treatments are developed. Instead of focusing on incremental improvements, we tackle complex problems that require creative thinking and a broad perspective, working at a level that enables solutions to be applied across multiple areas.
+
+In biology, many exciting research questions cannot yet be addressed with off-the-shelf ML approaches—they demand not only novel solutions but also new ways of framing the questions themselves, often beyond existing ML paradigms.
+
+If you’re excited about advancing research at this intersection, join us on an impactful journey of innovation at Prescient.
+
+This internship position is located in Basel, Switzerland, on site.
+
+The Opportunity
+
+You will develop generative methods aimed at optimally diverse sample generation at very large sampling scales.
+You will collaborate closely with our team in Basel, New York, and San Francisco.
+You are expected to contribute to and drive publications, and present your results at internal and external scientific conferences.
+
+Program Highlights
+
+Intensive 6-12 months, full time (40 hours per week) internship with a possibility of extension.
+Program start dates are in May/June (Summer)
+Ownership of challenging and impactful business-critical projects.
+Work with some of the most talented people in the biotechnology industry.
+
+Who You Are (Required)
+
+Must be pursuing a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, related technical field, or equivalent practical experience. In cases of outstanding excellence, we will also consider applications of master students.
+Good knowledge of machine learning fundamentals. Familiarity with generative models and/or out-of-distribution generalization would be helpful. Experience with ML on biological data is desired, but not necessary.
+Proven publication record and experience contributing to research communities, including relevant journals or conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc.
+Detailed hands-on experience on building and training neural networks - experience with at least one DL framework (preferably Pytorch), keen to build unconventional models, a knack for getting things to work.
+
+Required Majors
+
+You are an enrolled university student in your Master’s or PhD program, or alternatively have pursued your Master’s degree not longer than 12 months prior to the start date.
+
+Due to regulations, non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents, and must be continuously enrolled in their university program for the whole duration of this internship.
+
+Preferred Knowledge, Skills, And Qualifications
+
+Excellent communication, collaboration, and interpersonal skills.
+Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.
+
+Who we are
+
+At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
+
+Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche`s largest sites. Read more.
+
+Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.
+
+We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.
+
+Roche is an Equal Opportunity Employer.
+
+Apply Now

job-postings/16-02-2025/2.txt

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+At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.
+
+The exceptional EY experience. It's yours to build.
+
+EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
+
+AI/Machine Learning Engineer – TMT – Manager - Consulting
+
+The opportunity
+
+Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
+
+Your Key Responsibilities
+
+You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
+
+You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
+
+Skills And Attributes For Success
+
+This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
+
+To qualify for the role you must have
+
+Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning 
+2-4 years of experience directly managing technical teams 
+Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends. 
+Strong skills in Python. 
+Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG). 
+Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries. 
+Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases. 
+Proven ability to design and implement machine learning solutions that enhance network performance and customer experience. 
+Familiarity with telecommunications protocols (e.g., 5G, LTE) and their implications for data science. 
+Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics. 
+Knowledge of streaming video and audio technologies, including analytics and content recommendation systems. 
+Experience with multi-modal models, including vision-language models. 
+Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications. 
+Knowledge of regulatory and compliance considerations specific to the TMT sector. 
+Experience with real-time data processing frameworks (e.g., Apache Kafka). 
+Familiarity with cloud-based telecommunications solutions (e.g., AWS, Azure). 
+Experience with network optimization algorithms and techniques. 
+Knowledge of emerging technologies such as edge computing and IoT. 
+A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions. 
+Experience with MLOps methods and platforms such as MLFlow. 
+Experience with CI/CD and test-driven development. 
+Experience designing, building, and maintaining ML models, frameworks, and pipelines. 
+Experience designing and deploying end to end ML workflows on at least one major cloud computing platform. 
+Understanding of data structures, data modelling and software engineering best practices. 
+Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark. 
+Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions. 
+Experience with containerization and scaling models. 
+Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications. 
+Strong mathematical and quantitative skills including calculus, linear algebra, and statistics. 
+Willingness to travel to meet client obligations. 
+
+Ideally, you'll also have
+
+A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them. 
+Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field. 
+Experience working with diverse teams to deliver complex solutions. 
+Strong skills in languages beyond Python: R, JavaScript, Java, C++, C. 
+Experience fine-tuning Generative AI models. 
+
+What We Look For
+
+You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. 
+You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world. 
+You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. 
+
+What We Offer
+
+We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $141,400 to $259,200. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $169,700 to $294,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
+
+Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. 
+Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. 
+Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. 
+Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. 
+
+EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
+
+EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
+
+Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
+
+Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
+
+For those living in California, please click here (https://ey-preview.ey.com/content/ey-unified-site/ey-com/local/us/en_us/home/legal-and-privacy/fair-chance-ordinance.html?token=68cf9ed2-94e5-4db9-83cf-5c6aa14619de) for additional information.
+
+EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
+
+EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at [email protected]

job-postings/16-02-2025/3.txt

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+Description
+
+Do you love writing firmware or optimizing signal processing algorithms? Are you a software engineer at heart, but you enjoy working with embedded microcontrollers, SOCS's or dabbled in RTL development? Have you heard about machine learning and want to get your hands dirty? Are you an ML kernel developer who wants to make a big impact by getting closer to the hardware? If any of those are true, awesome - this is the role for you. Come join us!
+
+Custom Amazon designed silicon chips live at the heart of AWS Machine Learning servers, enabling faster, more capable, and more accurate machine learning for our customers. We’re looking for skilled software engineers to scale the team that develops the embedded software stack critical to the functionality of these bleeding-edge system-on-chips (SoCs). Your software will directly drive the execution and management of hardware accelerated neural network models deep within the SOC's Neuron Cores.
+
+You'll also work closely with our architecture and design teams to drive hardware/software co-design, developing both firmware and custom hardware that enables ML within our accelerator chips. Our team's charter is to make deep learning pervasive for everyday software developers and to democratize access to industry leading infrastructure - you'll be enabling that vision from the ground up.
+
+We invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs!
+
+https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips
+
+This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry.
+
+You'll learn about the inner workings of ML and our accelerators as part of your onboarding, so no prior ML knowledge is required for this role, but any ML background you have will be helpful.
+
+Key job responsibilities
+
+Software / hardware architecture and co-design 
+Embedded software development, testing, debug, and performance improvements 
+Test suite and infrastructure development 
+Developing software which can be maintained, improved upon, documented, tested, and reused 
+Close collaboration with RTL designers, design verification engineers, and other software teams 
+
+Basic Qualifications
+
+3+ years of non-internship professional software development experience 
+2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 
+Experience programming with at least one software programming language 
+
+Preferred Qualifications
+
+3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience 
+Bachelor's degree in computer science or equivalent 
+Experience in embedded development in C/C+Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. 
+
+Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
+
+Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
+
+Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

job-postings/16-02-2025/4.txt

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+Summary
+
+Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.
+
+Required Skills
+
+Software Engineer (Machine Learning) Responsibilities:
+
+Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. 
+Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. 
+Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models. 
+Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools. 
+Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. 
+Receiving general instruction from supervisor, code deliverables in tandem with the engineering team. 
+Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). 
+Telecommuting is permitted from anywhere in the U.S. 
+
+Minimum Qualifications
+
+Minimum Qualifications: 
+
+Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation. 
+Requires 12 months of experience involving the following skills: 
+Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
+Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
+Translating insights into business recommendations
+Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
+Developing and debugging in C/C++ and Java
+Scripting languages such as Perl, Python, PHP, or shell scripts
+C, C++, C#, or Java
+Python, PHP, or Haskell
+Relational databases and SQL
+Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
+Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
+Build highly-scalable performant solutions
+Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
+Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and
+Distributed systems.
+Public Compensation
+
+$192,668/year to $240,240/year + bonus + equity + benefits
+
+Industry: Internet
+
+Equal Opportunity
+
+Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
+
+Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

job-postings/16-02-2025/5.txt

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+As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams 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 serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring 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. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.
+
+About the team: 
+
+As part of FS AI labs you will be working on AI initiatives within Financial Services with a focus on Applied AI and Machine Learning (AI/ML), Generative AI, Natural Language Processing (NLP), and Responsible AI. The primary objective of FS AI Labs is to drive the research and delivery of innovative AI and ML use cases that leverage these cutting-edge technologies. You will work on exploring new frontiers, build prototypes, and deliver transformative AI use cases that drive Capital One Financial Services business growth and enhance customer experience.
+
+What you’ll do in the role:
+
+Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams 
+Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems 
+Lead large-scale ML initiatives with the customer in mind 
+Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 
+Optimize data pipelines to feed ML models 
+Use programming languages like Python, Scala, C/C++ 
+Leverage compute technologies such as Dask and RAPIDS 
+Evangelize best practices in all aspects of the engineering and modeling lifecycles 
+Help recruit, nurture, and retain top engineering talent 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 10 years of experience designing and building data-intensive solutions using distributed computing 
+At least 6 years of experience programming in C, C++, Python, or Scala 
+At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting 
+
+Preferred Qualifications:
+
+Master’s degree 
+3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 
+2+ years of experience using Dask, RAPIDS, or in High Performance Computing 
+2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) 
+Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM fine-tuning, LLM Evaluation. 
+Experience developing AI and ML algorithms in Python or C/C++ 
+Experience with building LLM based chatbots in production including experience with developing multi turn and agentic workflows and LLM pre training. 
+Experience leveraging a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, 
+ML industry impact through conference presentations, papers, blog posts, or open source contributions. 
+Ability to attract and develop high-performing software engineers with an inspiring leadership style 
+
+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: $263,900 - $301,200 for Distinguished Machine Learning Engineer
+
+Plano, TX: $239,900 - $273,800 for Distinguished 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/16-02-2025/6.txt

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+As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams 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 serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring 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. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.
+
+About the team: 
+
+As part of FS AI labs you will be working on AI initiatives within Financial Services with a focus on Applied AI and Machine Learning (AI/ML), Generative AI, Natural Language Processing (NLP), and Responsible AI. The primary objective of FS AI Labs is to drive the research and delivery of innovative AI and ML use cases that leverage these cutting-edge technologies. You will work on exploring new frontiers, build prototypes, and deliver transformative AI use cases that drive Capital One Financial Services business growth and enhance customer experience.
+
+What you’ll do in the role:
+
+Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams 
+Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems 
+Lead large-scale ML initiatives with the customer in mind 
+Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 
+Optimize data pipelines to feed ML models 
+Use programming languages like Python, Scala, C/C++ 
+Leverage compute technologies such as Dask and RAPIDS 
+Evangelize best practices in all aspects of the engineering and modeling lifecycles 
+Help recruit, nurture, and retain top engineering talent 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 10 years of experience designing and building data-intensive solutions using distributed computing 
+At least 6 years of experience programming in C, C++, Python, or Scala 
+At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting 
+
+Preferred Qualifications:
+
+Master’s degree 
+3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 
+2+ years of experience using Dask, RAPIDS, or in High Performance Computing 
+2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) 
+Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM fine-tuning, LLM Evaluation. 
+Experience developing AI and ML algorithms in Python or C/C++ 
+Experience with building LLM based chatbots in production including experience with developing multi turn and agentic workflows and LLM pre training. 
+Experience leveraging a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, 
+ML industry impact through conference presentations, papers, blog posts, or open source contributions. 
+Ability to attract and develop high-performing software engineers with an inspiring leadership style 
+
+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: $263,900 - $301,200 for Distinguished Machine Learning Engineer
+
+Plano, TX: $239,900 - $273,800 for Distinguished 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/16-02-2025/7.txt

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+At KPMG, you can become an integral part of a dynamic team at one of the world's top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMG's extensive network of specialists & enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to complex business opportunities and challenges. Develop your career through a range of multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it's an investment in our people, our future, and what we stand for as a firm
+
+KPMG is currently seeking a Senior Associate to join our Economic & Statistical Consulting practice.
+
+Responsibilities:
+
+Perform statistical, economic, and financial analysis on economic, regulatory and policy issues of significance to a range of clients in the public and private sectors, both domestically and internationally
+Develop and apply complex financial, mathematical, and machine learning models to analyze data
+Advance mathematical and computational models to simulate impact of policy changes or business decisions
+Manipulate large data sets to support statistical, economic, financial analyses and apply creative, innovative, lateral thinking to problem solving
+Craft rigorous, insightful narratives on the issues under analysis and translate these into informative professional reports and presentations as needed 
+Write technical and non-technical memoranda and reports based on research and findings from analyses
+
+Qualifications:
+
+A minimum of two years of experience with machine learning models within a quantitative analysis firm 
+Bachelor's degree in Digital Humanities, Physics, Mathematics, Mathematical Statistics, Applied Mathematics, Computer Science, or Information Management from an accredited college/university; coursework or minor in Information Systems, Software Engineering, Computer Science or Data and Analytics is preferred
+Experience with management and analysis of large volumes of data, financial and statistical analysis, building and working with economic or mathematical models, and econometric analyses
+Expertise in Python and prior experience with other data analysis software, such as STATA, SAS, SQL, R, SPSS, Matlab, Fortran, and Splus
+Excellent written and verbal communication skills, solid research skills, and the ability to work well both autonomously and in a team environment
+Strong organizational skills and comfortable with multi-tasking
+
+KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at “Benefits & How We Work”.
+
+Follow this link to obtain salary ranges by city outside of CA:
+
+https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M302B_4_25
+
+KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
+
+KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).
+
+KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
+
+Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

job-postings/16-02-2025/8.txt

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+About us:
+AMIT Learning is a leading training and consulting company located in Egypt. Our service is the cornerstone of our business, and we strive to stay at the contemporary edge of new training methodologies. With a focus on predicting and forecasting areas of training for growth, we are committed to providing high-quality training solutions to our clients.
+
+Qualifications
+Bachelor's degree in Computer Science, Information Technology, or related field
+1 to 3 years of experience in AI and Machine Learning
+Demonstrated ability to deliver effective and engaging training sessions
+Strong knowledge of current trends and best practices in AI and Machine Learning
+Excellent communication and presentation skills
+Experience working in the field of education or training
+Excellent interpersonal and communication skills
+Experience with Python and (NumPy, pandas, Skfearn, Matpolitlip)
+Experience with Statistics, Probability, Linear Algebra
+Experience in Deep Learning libraries ( Keras, Tensorflow), CNN, NLP, RNN, Calculus, LSTM
+
+Responsibilities:
+• Conducting and delivering direct training sessions online and offline for internal and external students.
+• Prepare and evaluate diploma assignment, graduation project and the final exam.
+• Answer students’ questions and provide quick support.
+
+AMIT Learning Website:
+https://www.amit-learning.com
+
+If you see yourself as a fit candidate or anyone who might fit in this position, kindly send your CV here or to [email protected], mentioning in the subject “AI and Machine Learning Instructor" Or WhatsApp: +201066824250

job-postings/16-02-2025/9.txt

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+EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.
+
+At EvenUp, we leverage the power of technology to bring fairness and accessibility to the legal system. Large language models (LLMs) are a new type of intelligence and represent an important part of our technology strategy. To fully realize the potential of this technology, we recognize the need for a systematic, creative, and rigorous approach to instructing LLMs and evaluating their output.
+
+With the field of prompt engineering still evolving, finding the right expertise can be a challenge. That's why we're seeking a Staff Machine Learning Engineer eager to join EvenUp's mission. Our interdisciplinary team - with backgrounds in industry as well as academic research in physics, ML, neuroscience, and more - hopes to foster an environment where we can systematically discover state of the art techniques and be the best in the world at applying them to the challenging problems we encounter in the legal domain. In fact, we already have a number of areas where we exceed the publicly known SOTA and this person will help us expand beyond.
+
+What You'll Do
+
+Stay on top of the latest advancements in ML and prompt engineering and direct the team to adjust direction accordingly.
+Build and deploy models in production that tangibly impact the lives of our customers.
+Help set team best practices on how prompting experimentation and development is done; design and implement efficient procedures for benchmarking and optimizing prompt performance.
+Provide technical leadership and mentorship for a highly skilled team of data scientists and machine learning engineers, guiding them in solving complex business problems.
+Act as a strategic advisor for leaders across the organization on driving business impact through machine learning.
+Own technical roadmaps and work closely with engineers, product managers, and other stakeholders to integrate research findings into scalable, production-ready solutions.
+
+What We Look For
+
+10+ years of experience in machine learning with multiple models deployed in operational settings.
+PhD in Machine Learning, Computer Science, or other quantitive field.
+Strong proficiency with the latest Large Language Model (LLM) technologies.
+Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization.
+Strong communication, collaboration, and coaching skills.
+High proficiency in a procedural programming language (e.g. Python).
+Ability to translate and apply cutting edge research into practical solutions.
+Strong leadership and mentorship abilities, with a passion for guiding and developing other team members.
+
+Job title and level to be determined based on candidate’s background.
+
+Benefits & Perks
+
+Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:
+
+Choice of medical, dental, and vision insurance plans for you and your family
+Flexible paid time off
+10 US observed holidays, and Canadian statutory holidays by province
+A home office stipend
+401(k) for US-based employees
+Paid parental leave
+Sabbatical program
+A meet-up program to get together in person with colleagues in your area
+Offices in San Francisco and Toronto
+
+Please note the above benefits & perks are for full-time employees 
+
+About EvenUp
+
+EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.
+
+EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.