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City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We're looking for a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk. What You'll Do Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation. Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace. Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction. Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions. Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets. Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale. Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows. Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team. Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production. What We're Looking For Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus. 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision. Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs). Hands-on experience with multimodal data (text, images, 3D). Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy). Solid grounding in probability, statistics, and optimization for generative modeling. Experience deploying ML and AI models using cloud microservice architecture (AWS preferred). Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred). A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders. Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more. Must be a U.S. Citizen or Green Card holder (ITAR compliance) Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short term priorities identified by our top clinicians, as well as on long term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best in class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminate innovative patient therapies and scientific discoveries around the world, and reduce the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School affiliated hospitals. Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and has vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High throughput big data processing under redundancy / low latency requirements. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $154,000 - $184,500 At Dana Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

21 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims. The role involves developing and deploying models for Piai, focusing on machine learning, natural language processing, and generative AI, while collaborating with a diverse team to improve justice outcomes for clients. Responsibilities Model research & prototyping - Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding). Data preparation & feature engineering - Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders. Experimentation workflow - Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams. Productionization - Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling. Cross-functional collaboration - Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements. Continuous learning - Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs. Qualification Required Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization) Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs) Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks) Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup Clear, concise communication-both written and verbal Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions Preferred exposure to cloud platforms (AWS/GCP) experiment-tracking tools (Weights & Biases, MLflow) Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles. San Francisco, CA $130,000.00-$230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Francisco, CA $140,000.00-$180,000.00 5 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$160,000.00 4 months ago San Francisco, CA $130,000.00-$238,000.00 2 hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago San Mateo, CA $140,000.00-$210,000.00 3 weeks ago San Francisco, CA $140,000.00-$290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 3 weeks ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA $175,000.00-$225,000.00 8 months ago San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $88,000.00-$140,000.00 3 weeks ago Machine Learning Engineer, Identity Product San Francisco, CA $160,000.00-$180,000.00 4 days ago San Francisco, CA $140,000.00-$200,000.00 6 days ago San Mateo, CA $195,000.00-$255,000.00 7 months ago San Francisco, CA $180,000.00-$270,000.00 3 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

An innovative technology company in San Francisco is seeking a Machine Learning Engineer to design cutting-edge Generative AI systems and mentor fellow engineers. This role focuses on cross-functional collaboration to bring AI coaching products to life and requires a strong background in machine learning. A competitive salary range of $228,000 - $313,500 reflects the expertise needed, along with a hybrid work model emphasizing in-person teamwork. Join us if you're passionate about meaningful impact and continuous learning.

Overview Let's face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. You'll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you've ever met (each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it's not for everyone. But for people with fire in their belly, it's a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting-and the job description below feels like a fit-we really should start talking. AI is transforming the future of coaching-and BetterUp is at the forefront of that transformation. We're seeking a creative, product-minded machine learning engineer who's eager to roll up their sleeves and help shape what comes next alongside our world-class team. The ideal candidate is motivated by impact, thrives in fast-paced and ambiguous environments, and brings clarity where there's complexity. You're someone who values empowering your teammates as much as your own growth, and who stays focused on what matters most: delivering meaningful, human-centered value to our members and customers. At BetterUp, we support and challenge one another to grow, always with empathy and excellence. We're looking for someone who shares our commitment to continuous learning, who takes pride in craftspersonship, and who believes deeply in the power of technology to drive positive change in the world. And because we know peak performance comes from balance, we foster a culture that supports you in bringing your full self to our mission. We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Arlington, VA metro area. Please ensure you can realistically commit to this structure before applying. What You'll Do Design and deliver state-of-the-art Generative AI systems and experiences that set the standard for quality, engagement, and trust in coaching. Mentor and elevate engineers at all levels through technical guidance, code and design reviews, and thought partnership, raising the bar for engineering excellence. Collaborate deeply with cross-functional partners across product, research, design, and engineering, to ship and scale first-of-their-kind AI coaching products. Shape direction and scope by developing a deep understanding of customer needs and translating them into technical strategy and product roadmaps. Stay ahead of the curve in Generative AI research and practice, leading conversations on emerging technologies and how to responsibly bring them into production. Qualifications 7+ years as an ML engineer and 3+ years of hands-on experience building and shipping products on top of leading LLMs Proven track record designing, implementing, and evaluating LLM outputs Experience fine-tuning smaller models or adapting foundation models to improve quality, engagement, and scalability Background at a leading AI research lab or equivalent experience staying at the forefront of Applied ML/AI, GenAI, with strong software engineering skills and a deep understanding of LLM internals A high degree of initiative and ownership, combined with the ability to navigate ambiguity and adapt quickly to change Experience working collaboratively in a cross-functional team and with people at all levels in an organization Alignment with BetterUp's mission of enabling individuals to maximize their potential Ability to communicate complex ideas effectively to both technical and non-technical audiences, verbally and in writing A passion for continuous learning, customer empathy, and a desire to innovate within a fast-paced environment. AI at BetterUp Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology - people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you'll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. Benefits At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. Access to BetterUp coaching; one for you and one for a friend or family member A competitive compensation plan with opportunity for advancement Medical, dental, and vision insurance Flexible paid time off Per year: All federal/statutory holidays observed 4 BetterUp Inner Workdays 5 Volunteer Days to give back Learning and Development stipend Company wide Summer & Winter breaks Year-round charitable contribution of your choice on behalf of BetterUp 401(k) self contribution We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don't hesitate to reach out - we encourage everyone interested in joining us to apply. BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. The base salary range for this role is as follows: New York City and San Francisco: $228,000 - $313,500 Austin, Arlington, and Chicago: $205,200 - $282,150 Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with our Applicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out to

About Quizlet At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning Join us to design and deliver AI powered learning tools that scale across the world and unlock human potential. About The Team The Personalization & Recommendations ML Engineering team builds the core intelligence behind how Quizlet matches learners with content, activities and experiences that best fit their goals. We power recommendation and search systems across multiple surfaces, from home feed and search results to adaptive study modes. Our mission is to make Quizlet feel uniquely tailored for every learner by combining cutting edge machine learning, scalable infrastructure and insights from learning science. You'll collaborate closely with product managers, data scientists, platform engineers and fellow ML engineers to deliver personalized learning pathways that drive engagement, satisfaction and measurable learning outcomes. About The Role As a Senior or Staff Machine Learning Engineer on the Personalization & Recommendations team, you'll design and build large scale retrieval, ranking, and recommendation systems that directly shape how learners discover and engage with Quizlet. You'll bring deep expertise in modern recommender systems - from deep learning based retrieval and embeddings to multi task ranking and evaluation - and help evolve Quizlet's personalization stack to power adaptive, effective learning experiences. You'll work at the intersection of machine learning, product design, and scalable systems, ensuring our recommendations are performant, responsible, and aligned with learner outcomes, privacy, and fairness. This is an onsite position in our San Francisco office; employees are required to work in the office at least three days per week (Monday, Wednesday, and Thursday). In This Role, You Will Design and implement personalization models across candidate retrieval, ranking, and post ranking layers, leveraging user embeddings, contextual signals, and content features. Develop scalable retrieval and serving systems using architectures such as Two Tower, deep ranking, and ANN based vector search for real time personalization across surfaces. Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training serving consistency, and robust monitoring. Partner closely with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experimentation plans. Advance evaluation methodologies, refining offline metrics (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact. Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost at scale. Contribute to the long term technical vision for personalization and recommendations, aligning modeling strategy with Quizlet's AI and product roadmaps. Stay current with RecSys research and industry trends, bringing relevant advances from top conferences (KDD, WSDM, SIGIR, RecSys, NeurIPS) into production. Mentor other engineers and applied scientists, fostering technical growth, experimentation rigor, and responsible ML practices. Champion collaboration, inclusion, and curiosity, helping build a team culture that values diverse perspectives and data driven problem solving. What You Bring To The Table 10+ years of experience in applied machine learning or ML heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems. Track record of measurable impact, improving key online metrics such as CTR, retention, or engagement through recommender or search systems in production. Strong hands on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices - including model registries, feature stores, monitoring, and drift detection. Deep understanding of retrieval and ranking architectures, including Two Tower models, deep cross networks, Transformers, or MMoE, and how to apply them in production contexts. Experience with large scale embedding models and vector search (e.g., FAISS, ScaNN), including training, serving, and optimization at scale. Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test results to drive product decisions. Ability to communicate complex technical ideas clearly, collaborating effectively with product managers, data scientists, and engineers across teams. Growth and mentorship mindset, contributing to team learning and helping raise the bar for modeling quality, experimentation, and reliability. Commitment to responsible and inclusive personalization, ensuring our ML systems respect learner privacy, fairness, and diverse goals. Bonus Points If You Have Publications or open source contributions in RecSys, search, or ranking. Familiarity with reinforcement learning for recommendations or contextual bandits. Experience with hybrid RecSys systems blending collaborative filtering, content understanding, and LLM based reasoning. Prior work in consumer or EdTech applications with personalization at scale. Compensation, Benefits & Perks Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $209,920 - $285,000, depending on location and experience, as well as company stock options. Collaborate with your manager and team to create a healthy work life balance. 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice). Employer sponsored 401k plan with company match. Access to LinkedIn Learning and other resources to support professional growth. Paid Family Leave, FSA, HSA, commuter benefits, and wellness benefits. 40 hours of annual paid time off to participate in volunteer programs of choice. Why Join Quizlet • Massive reach: 60M+ users, 1B+ interactions per week • Cutting edge tech: Generative AI, adaptive learning, cognitive science • Strong momentum: Top tier investors, sustainable business, real traction • Mission first: Work that makes a difference in people's lives • Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

Role Senior / Staff Full-Stack Engineer at Hedra. Base Pay Range $175,000.00/yr - $275,000.00/yr Company Overview Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence. At the core of Hedra Studio is our Character 3 foundation model, the first omnimodal model in production. Character 3 jointly reasons across image, text, and audio for more intelligent video generation - it's the next evolution of AI driven content creation. Note At Hedra, we're a team of hard working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start up experience and be a self starter that is driven to build impactful products that change the status quo. The Hedra team is fully in person in SF/NY with a shared love of solving hard problems using whiteboards. Summary As a Senior Full Stack Engineer, you will design, build, and deploy the frontend and backend services that power our transformative products. You will work with emerging web standards to build web based video and audio creation/editing tools, utilizing Webcodecs, web assembly, and FFMPEG. You will also work with frameworks/languages such as NextJS, React, Redux, Mobx, Typescript, Javascript, and deep dive into video container formats and streaming protocols such as MP4, MKV, HLS, and MP DASH. You will build and deploy backend services and APIs to our Kubernetes infrastructure, write secure, stable, and scalable Python code, interface with our foundation model, and integrate with SQS, Kafka, S3, and DynamoDB to implement event streaming/processing logic. You will work with passionate engineers and top researchers to build a truly disruptive technology. Must Have Experience 5+ years of professional experience with Javascript, React, NextJS, and Typescript. Experience working closely with design and product to set and deliver engineering initiatives and projects. A product focused engineer who is passionate about the user experience and empowering creatives. Familiarity with audio/video web standards and tools such as Webcodecs, webRTC, HLS, MP DASH, FFMPEG, MP4, and MKV. Startup experience is a must - we work hard and build quickly. Ideal candidates should be passionate with an always on attitude that drives them to live and breathe the product (not a "punch the clock" disposition). Nice To Have Experience Experience developing scalable services using Python or Golang. Familiarity with authentication/authorization such as OAuth2 and OIDC. Experience working with relational and NoSQL datastores such as DynamoDB. Experience writing unit and integration tests, working with CI/CD, and writing functional tests using tools such as Playwright. Strong familiarity with frameworks and standards such as WASM, websockets, IndexedDB, promises, generators, and coroutines. Experience building and scaling cloud based infrastructure leveraging Kubernetes and EKS. Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka. Experience architecting and implementing REST APIs for distributed systems. Experience with k8s, Docker, especially in the context of deploying machine learning models on NVIDIA hardware. Personality Self motivated and independent - able to set accurate timelines for development and deliver on them. Have an opinion and the experience to back that opinion. Low ego, high patience, strong communication skills. Understand operational costs and overhead short and long term. Mission driven - we are building something fundamentally disruptive and this reflects deeply in our company DNA. And most importantly, treat Hedra as your own and help shape the vision accordingly. Benefits Competitive compensation and equity 401k Healthcare (Silver PPO Medical, Vision, Dental) Lunch and snacks at the office Additional Information We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team. Compensation Range: $175K - $275K

A global tech company in San Francisco is seeking a Staff Machine Learning Engineer to lead complex AI initiatives. In this role, you will architect cutting-edge systems to transform the platform into an adaptive user experience. Your responsibilities include developing large-scale AI solutions, collaborating on prototypes, and driving data quality. The ideal candidate has over 9 years of experience in machine learning engineering, hands-on in generative AI, and strong backend engineering skills. This position offers a competitive salary and additional benefits.

Machine Learning Engineer, Motion Planning, Self-Driving Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla Machine Learning Engineer, Motion Planning, Self-Driving 1 year ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla What To Expect Tesla is looking for strong Machine Learning Engineers to help build foundation models for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world's largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla's customers. What You'll Do Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving systemUse cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving modelsExperiment with data generation and fleet data collection approaches to enhance the diversity and quality of training dataIntegrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet What You'll Bring Strong experience with Python, any major deep learning framework, and software engineering best practicesAn "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scaleComfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products Benefits Compensation and Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks program Expected Compensation $140,000 - $420,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. , TeslaSeniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesMotor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities Referrals increase your chances of interviewing at Tesla by 2x Get notified about new Machine Learning Engineer jobs in Palo Alto, CA . Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeStaff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeMachine Learning Engineer (I, II, or Sr.) Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago Palo Alto, CA $150,000.00-$220,000.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 1 week ago Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00-$202,000.00 1 week ago Data Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Fremont, CA $166,000.00-$244,000.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.)(General Hire) Machine Learning Scientist Graduate - TikTok Recommendation - 2025 Start (PhD) San Jose, CA $145,000.00-$250,000.00 2 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 8 months ago Data Scientist III, Research, Search Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 9 months ago San Jose, CA $113,500.00-$250,000.00 6 days ago Staff Data Scientist, Research, Search Platforms Mountain View, CA $197,000.00-$291,000.00 1 week ago Sunnyvale, CA $141,000.00-$202,000.00 1 week ago Menlo Park, CA $180,000.00-$200,000.00 4 weeks ago Software Engineer, AI Platform - New Grad San Jose, CA $120,700.00-$228,600.00 1 week ago Data Scientist, Product, Play Data Science and Analytics Mountain View, CA $183,000.00-$271,000.00 1 week ago San Jose, CA $113,500.00-$250,000.00 4 days ago Software Engineer III, AI/ML Computer Vision, Core Mountain View, CA $141,000.00-$202,000.00 1 hour ago San Jose, CA $119,000.00-$177,000.00 1 day ago San Jose, CA $120,700.00-$301,200.00 1 week ago We're unlocking community knowledge in a new way. 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Join to apply for the Junior Machine Learning Engineer role at Jobright.ai Join to apply for the Junior Machine Learning Engineer role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Booz Allen Hamilton International (U.K.) Ltd is seeking a Machine Learning Engineer to create innovative solutions for complex challenges in federal healthcare. In this role, you will train, test, deploy, and maintain machine learning models, collaborate with a team of professionals, and guide clients through the landscape of ML algorithms and tools. Responsibilities: • Train, test, deploy, and maintain models that learn from data • Conduct statistical analyses on business processes using machine learning (ML) techniques • Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies • Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions • Deliver mentorship, training, and solutions to real world problems • Process data and information at a massive scale • Perform A/B testing tasks on statistical models, ML algorithms, and systems • Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks Qualifications: Required: • 2+ years of experience with machine learning engineering, or postdoctoral research for machine learning • Experience with natural language processing and language models • Experience with RAG and Generative AI techniques • Experience with programming in Python, Java, or C++ Preferred: • Experience with developing software architectures with containerization tools, including Docker and Kubernetes • Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches • Experience with databases, including SQL • Knowledge of AWS, Azure, and GCP • Ability to work in a Linux environment with Bash Scripting Company: BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD is a management consulting company based out of 100 NEW BRIDGE STREET, LONDON, United Kingdom. Founded in , the company is headquartered in LONDON, GB, with a team of 11-50 employees. The company is currently Early Stage. Seniority level Seniority levelEntry level Employment type Employment typePart-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles. Reston, VA $90,000.00-$120,000.00 1 week ago Washington, DC $56.25-$137,000.00 3 days ago Junior Full Stack Software Engineer (JAVA) Washington, DC $183,100.00-$203,400.00 2 days ago Washington, DC $80,000.00-$120,000.00 1 week ago Fort Meade, MD $12,000.00-$150,000.00 1 month ago Annapolis Junction, MD $80,000.00-$120,000.00 2 days ago Bethesda, MD $55,250.00-$99,875.00 1 day ago Washington, DC $65,000.00-$400,000.00 4 days ago Bethesda, MD $110,000.00-$150,000.00 4 days ago Annapolis Junction, MD $3,000.00-$5,250.00 1 week ago Fort Meade, MD $70,000.00-$100,000.00 1 month ago Junior F/E Software Engineer (Hybrid) - 23684 Columbia, MD $89,769.00-$130,000.00 1 week ago Columbia, MD $70,000.00-$190,000.00 1 week ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or veteran status. We will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead for its next generation of deep research agents for the Enterprise. This high impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable production systems that enhance enterprise operations, analytics, and core efficiency. Responsibilities Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end to end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Advanced Knowledge Retrieval: Architect and implement state of the art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data Analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low latency infrastructure and frameworks for building, orchestrating, and evaluating multi agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top tier talent, helping to shape the long term structure and capabilities of the team. Cross Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large scale distributed systems and real time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production grade Text to SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross team technical initiatives that have delivered significant business impact. Compensation Base salary range for this full time position in San Francisco, New York, and Seattle: $252,000 - $315,000 USD. About Scale AI At Scale AI we develop reliable AI systems for the world's most important decisions. Our products provide high quality data and full stack technologies that power leading models and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and are expanding our team to accelerate the development of AI applications. Equality, Diversity, and Inclusion We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or veteran status. We will provide reasonable accommodations to applicants with physical and mental disabilities. All qualified applicants will receive consideration for employment without regard to any protected status.

Overview At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. Let's Build the Future of Learning. Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. Contribute to the vision, strategy, and execution of high-impact Machine Learning (ML) and Artificial Intelligence (AI) initiatives across product areas, ensuring alignment with business goals and customer needs. Design and implement scalable ML systems as production-grade Python services, while collaborating closely with engineering, product, design, and data teams to bring intelligent features to life. Perform AI feasibility assessments and technical discovery, shaping the product roadmap by identifying transformative opportunities and advocating for data-driven innovation. Stay current with advancements in AI/ML research and educational technology, evaluating emerging techniques and tools to inform technical work and contribute to forward-looking development efforts. Design and conduct rigorous experimentation to evaluate and optimize model performance, using advanced techniques in ML, data science, and statistical analysis. Contribute technical insights and apply established best practices in ML/AI development, supporting a collaborative and continuously improving engineering environment. Provide input into architectural and organizational decisions beyond your immediate team, contributing to the technical roadmap and long-term vision for ML/AI across the company. Telecommuting may be permitted up to 4 days per week. When not telecommuting, must report to Quizlet, Inc. at 123 Townsend Street, Suite 600, San Francisco, CA 94107. Salary: $194,834 - $241,913 per year. Minimum Requirements / Qualifications Master's degree or U.S. equivalent in Engineering, Electrical Engineering, or a related field, plus 5 years of professional experience as a Machine Learning Engineer, Data Scientist, or similar role working with ML including ML models, framing, and Natural Language Processing. Must have: 5 years of Python experience and working with Large Language Models (including GPTs); 5 years in a cross-functional team environment conducting ML-driven research shaping product roadmaps; 5 years using ML libraries and deep libraries (scikit-learn, numpy, pandas, scipy, TensorFlow) and SQL to access and analyze data; 2 years building personalized recommendation systems using computer vision, natural language processing, or ranking; 2 years performing SQL, BigQuery, and Google Cloud Platform ML. How to Apply Please send resume to: . Must specify ad code AJDC. Why Join Quizlet? Massive reach: 60M+ users, 1B+ interactions per week Cutting-edge tech: Generative AI, adaptive learning, cognitive science Strong momentum: Top-tier investors, sustainable business, real traction Mission-first: Work that makes a difference in people's lives Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome. We work to create a holistic interview process, where both Quizlet and candidates can explore a mutually beneficial partnership, with a transparent setting that gives a comprehensive view of who we are. In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is about initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We value honest, respectful communication, thoughtful collaboration, and a supportive space where everyone can grow and succeed together. N.B. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are an equal opportunity employer and welcome applicants from all backgrounds. Women, people of color, LGBTQ+ community members, individuals with disabilities, and veterans are strongly encouraged to apply. To All Recruiters And Placement Agencies: Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited resumes. Quizlet will not pay fees to third-party agencies or firms for unsolicited resumes.

What is Findem Findem is HR 2.0. We're a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. Why We Need You We're backed by top-tier investors including Wing Venture Capital - the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business. Your Working Experience BS/MS or higher in Computer Science or a closely related technical field. Minimum 8-10 years of progressive experience in software engineering focused on backend and infrastructure. Proven technical leadership experience driving large-scale microservices implementations. Extensive experience optimizing backend systems performance, scalability, and reliability. Significant track record implementing infrastructure solutions leveraging Docker, MongoDB, TypeScript, and generative AI. Expert-level proficiency in designing and building infrastructure with TypeScript, MongoDB, Docker, and modern cloud technologies. Extensive knowledge of microservices architecture, container orchestration, and RESTful API development. Demonstrated expertise with performance engineering, reliability, scalability strategies, and generative AI. Deep understanding of Agile methodologies, CI/CD pipelines, observability, and monitoring tools. Outstanding leadership, problem-solving, and architectural decision-making capabilities. Benefits & Perks Competitive base compensation Equity grants that align your success with ours Unlimited PTO Generoushealthcare coveragefor you and your family Home office and productivity setup stipend Professional development budgetand executive coaching access We're an Equal Opportunity Employer We believe that a diverse team builds better solutions. We're committed to creating an inclusive environment for all employees and welcome candidates from all backgrounds, experiences, and perspectives. Ready to build something impactful and lead a team to success? Apply now and let's grow together.

Overview Airbnb 11 April 2025 Join Airbnb's AI Experience Team and help build the next-generation platform that leverages generative AI and agentic systems to deliver deeply personalized and adaptive user experiences. As a Staff Machine Learning Engineer, you will lead complex AI initiatives, architect cutting-edge systems, and drive innovation across diverse teams. You will transform the Airbnb app into an ever-evolving platform that knows you, adapts to your needs, and drives our broader mission of creating a world where anyone can belong anywhere. Responsibilities Architect and develop large-scale AI solutions, from data pipelines and fine-tuning methodologies to multi-step agentic workflows. Collaborate with cross-functional partners to develop prototypes that push the boundaries of generative AI and transition them into high-impact production features. Develop prototypes that embed state-of-the-art generative AI capabilities, ensuring they meet production-level metrics for reliability, scalability, and ethical alignment. Drive data quality, leveraging advanced synthetic data generation techniques and robust analytics to continuously improve AI performance. Serve as a technical mentor, conducting knowledge-sharing sessions and code reviews. Present progress, insights, and strategic recommendations to senior leadership. Qualifications 9+ years of professional machine learning engineering experience, including proven leadership on AI/ML projects at scale. Hands-on experience building and shipping generative AI solutions, emphasizing Retrieval-Augmented Generation (RAG), agentic workflows, and large language models. Demonstrated success improving AI data quality through synthetic data techniques, adversarial testing, or advanced data annotation pipelines. Strong proficiency in backend engineering and cloud-based architectures that support high-volume, real-time AI workloads. Excellent communication skills and a track record of cross-functional collaboration. Passion for responsible and ethical AI. Benefits This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range: $212,000 $276,500 USD How to Apply Interested in this position? Please submit your resume and cover letter through the application portal.

Overview Our Mission At Palo Alto Networks everything starts and ends with our mission: being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Our development and personal wellbeing programs are designed to give you choice in how you are supported, including FLEXBenefits wellbeing spending account with over 1,000 eligible items, mental and financial health resources, and personalized learning opportunities. At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Your Career Your Career Bring your machine learning and applied research expertise to build the next generation of cloud-delivered data security solutions. As a Machine Learning Engineer, you will work on large-scale ML systems that enable organizations to discover, classify, and protect highly sensitive data across SaaS applications. You will be part of a fast-paced, innovation-driven team that tackles complex real-world problems, develops novel algorithms, and deploys them into production at scale. Our team operates at the intersection of ML research and production engineering, delivering customer-facing capabilities that directly impact data protection, compliance, and privacy. You will have the opportunity to work on cutting-edge ML, NLP, and Generative AI problems, contribute to patented technologies, and see your work deployed to millions of users. This role is located at our dynamic Santa Clara California headquarters campus, and in office 3 days a week. Your Impact Apply machine learning, NLP, and deep learning methods to massive structured and unstructured data sets, classify documents, perform context analysis and extract complex patterns Leverage the latest advances in Deep Learning and NLP to develop scalable solutions to improve the overall product experience by ensuring high efficacy, low false positive and false negative rates Architect and end-to-end ownership of ML implementations while optimizing for scalability, performance and code quality Be a Technical Leader to develop and drive ML best practices and processes across the board Discover new opportunities to apply ML/NLP to solve critical problems and design a high-value roadmap that scales the impact of ML for customers Partner with Product and Business teams to ideate, collaborate and define product roadmaps that advance our ecosystem of Data Security and DLP offerings Qualifications Your Experience MS / PhD in Computer Science, Mathematics, Statistics, or related field or equivalent military experience required 7+ years industry / academia experience in software development, minimum 5 years as a machine learning engineer or a data scientist Be an excellent programmer - experience with distributed cloud systems like GCP or AWS and containers like Docker a plus Proven track record in solving difficult real world problems by applying Machine Learning techniques Experience with deep learning frameworks such as PyTorch and TensorFlow, Computer Vision, NLP, Large Language Models, Generative AI or related areas is a big plus Have a strong working knowledge of machine learning algorithms such as XGBoost/CatBoost, CNNs, LSTMs, NLP frameworks like SpaCY, Gensim, NLTK, Byte Pair Encoding schemes, etc. Thorough understanding of ML Ops best practices, ability to design, test, measure algorithms/models and orchestrate and experience working with Airflow or Kubeflow Experience with time series analysis and anomaly detection techniques for identifying unusual patterns and potential security threats in data streams. Have a "get stuff done" attitude, enjoy being hands-on and working alongside the team to solve the most pressing problems in a fast-paced, collaborative environment Nice to Have - Passion for security, prior experience in NLP and/or security products or services Additional Information The Team Our engineering team is at the core of our products - connected directly to the mission of preventing cyberattacks. We are constantly innovating - challenging the way we, and the industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between: $147000/YR - $225500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Is role eligible for Immigration Sponsorship?: Yes Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Senior Data Scientist, Product Analytics Join to apply for the Senior Data Scientist, Product Analytics role at Jobright.ai Senior Data Scientist, Product Analytics 1 day ago Be among the first 25 applicants Join to apply for the Senior Data Scientist, Product Analytics role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Meta's mission is to build the future of human connection and the technology that makes it possible. As a Data Scientist, you will shape the future of products across Meta's applications by applying your technical and analytical skills to influence product strategy and drive impactful decisions. Responsibilities: • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Qualifications: Required: • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience • A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Preferred: • Master's or Ph.D. Degree in a quantitative field Company: Meta is a social technology company that enables people to connect, find communities, and grow businesses. Founded in 2004, the company is headquartered in Menlo Park, California, USA, with a team of 10001+ employees. The company is currently Public Company. Meta has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Data Scientist" roles. Washington, DC $206,000.00-$281,000.00 2 weeks ago Washington, DC $99,000.00-$225,000.00 1 month ago (567) Data Scientist and Knowledge Management SpecialistGeospatial Scientist, Data Publishing and Cataloging District of Columbia, United States $225,000.00-$250,000.00 1 week ago Data Science and Engineering Manager 2 - R-2 Annapolis Junction, MD $149,400.00-$234,700.00 1 month ago Senior Director of Data Science (AI Speciality)Principle Geospatial Scientist (Data Publishing/Cataloging ManagerLead Data Scientist & Deputy Program ManagerDirector, Commercial Analytics & Data Science Washington, DC $181,136.00-$205,000.00 5 days ago Applied Research Mathematician / Machine Learning Security and Generative AI - Experienced to Expert Level (Maryland) Fort Meade, MD $131,437.00-$195,200.00 2 days ago Managing Consultant Financial Modeler Data Scientist McLean, VA $56,800.00-$87,400.00 6 days ago Senior Compliance Data Analyst, NAST S&C DAS Arlington, VA $42,000.00-$79,800.00 6 days ago Senior Compliance Data Analyst, NAST S&C DAS Arlington, VA $42,000.00-$79,800.00 6 days ago Senior Analyst, Loan & Data Administration District of Columbia, United States $85,000.00-$95,000.00 2 weeks ago (Data Exploiter) Cyber Technical Analyst Senior (TS/SCI with Poly Required)Senior Data Analyst (TRICARE Encounter Data)Director Product Management - News & PublishingSenior Healthcare Data Scientist - AI/ML, Stats, OR Washington, DC $82,216.00-$129,885.00 1 week ago Washington, DC $133,000.00-$287,800.00 3 days ago Washington, DC $145,000.00-$204,000.00 1 week ago Data Scientist, AWS Professional Services Arlington, VA $125,500.00-$212,800.00 4 days ago Laurel, MD $115,000.00-$190,000.00 1 year ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

AI/ML Applied Data Scientist - Generative AI, Mid-Level Join to apply for the AI/ML Applied Data Scientist - Generative AI, Mid-Level role at Jobright.ai AI/ML Applied Data Scientist - Generative AI, Mid-Level 1 day ago Be among the first 25 applicants Join to apply for the AI/ML Applied Data Scientist - Generative AI, Mid-Level role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: SAP is a leading company that helps the world run better by leveraging innovative technologies across various industries. They are searching for an experienced AI/ML Applied Scientist to join their ABAP Foundation Model team, focusing on the development and integration of foundation models to enhance cloud transformation efforts. The role involves collaboration with various stakeholders and leading research initiatives to drive advancements in AI applications. Responsibilities: • Model Development: Oversee the development, fine-tuning, and integration of foundation models into SAP solutions to streamline cloud transformation journeys. • Collaboration: Engage with stakeholders in different teams at SAP as well as early adopter customers and research collaborations. • Define processes, methods, hypothesis, experiments and review results from the ground up with an understanding to put them together for End-to-End Foundational Models and LLMs. Qualifications: Required: • PhD or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. • 3+ years of experience in data science, with a proven record of leading projects to success. • Expertise in deep learning, large language models, and significant experience with deep learning frameworks such as PyTorch and Tensorflow. • Exceptional verbal and written communication skills. • Demonstrated ability to lead and mentor teams and drive strategic initiatives. Company: SAP provides enterprise application software to various industries, including consumer, discrete manufacturing, public services. Founded in 1972, the company is headquartered in Walldorf, Baden-Wurttemberg, DEU, with a team of 10001+ employees. The company is currently Public Company. SAP has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Data Scientist" roles. Irvine, CA $99,500.00-$200,000.00 1 week ago Irvine, CA $116,300.00-$145,400.00 1 week ago Irvine, CA $70,000.00-$170,000.00 3 weeks ago Huntington Beach, CA $75,000.00-$90,000.00 1 month ago Software Engineer III, Full Stack, Google Ads Irvine, CA $141,000.00-$202,000.00 3 days ago Irvine, CA $92,000.00-$141,000.00 1 week ago Irvine, CA $110,000.00-$130,000.00 1 month ago Aliso Viejo, CA $175,000.00-$230,000.00 2 weeks ago Software Development Engineer in Test - 2025 (US) Irvine, CA $105,000.00-$185,000.00 2 days ago Costa Mesa, CA $130,000.00-$135,000.00 7 hours ago Software Engineer, User Interfaces (Frontend)Software Engineer (Computational Geometry) Huntington Beach, CA $115,000.00-$185,000.00 2 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.