UNKNOWN

FEED

Position Title: Senior Manager - Data Engineering Location: 1900 Camden Ave., Suite 66, San Jose, CA 95124 Position Responsibilities: Architect and lead the development of scalable, high-performance data platforms and pipelines that support enterprise analytics, reporting, and machine learning initiatives. Mentor and manage a high-performing team of data engineers, architects, and designers by providing technical leadership, guidance on best practices, and growth opportunities through code reviews, architectural planning, and hands-on support.

YEAR

Tredence Inc

Senior Manager - Data Engineering

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FULL_TIME

The successful candidate will integrate molecular, cellular, and tissue-based data to characterize therapeutic targets, define tumor and immune biology, identify potential biomarkers, and support precision medicine strategies across ImmunEdge's pipeline. Analyze and integrate complex datasets, including genomic/transcriptomic data, multiparameter flow cytometry, tissue-based biomarkers, and experimental data, to characterize tumor and immune biology and identify clinically relevant biomarkers.

ImmunEdge, Inc

Senior Scientist, Translational Science & Biomarkers

partner JazzHR

Ship retailer-assistant features end-to-end - across the FLARE Python app, data plumbing, tool wrappers, and the frontend surfaces where the assistant appears, using AI-native workflows to multiply your output. 5+ years of industry experience building and shipping production ML/AI systems with measurable business impact - including hands-on ownership of the applied-science side (data, evaluation, modeling, quality), not just system plumbing.

Faire Wholesale Inc

Senior Applied AI/ML Scientist - Compass

This role combines quantitative analysis, qualitative research, and domain expertise to uncover emerging risks, evaluate safety interventions, and translate insights into actionable strategies. The Applied Research Scientist will drive rigorous research to deepen our understanding of complex Trust & Safety challenges and inform better policy, product, and operational decisions.

TikTok Inc

Applied Research Scientist - Trust and Safety

Regular onsite presence is essential given the combination of hands-on laboratory work, scientific leadership, and close collaboration with multidisciplinary teams We are seeking a Senior Associate Scientist, Bioanalytical Sciences to support bioanalytical assay development and execution across Alector’s nonclinical and clinical programs. We are supported in this mission by experienced and accomplished scientists and clinicians, a novel portfolio of programs, leading healthcare investors, and pharma company partners, who share in our commitment to bettering the lives of patients and realizing a world where we make brain disorders history.

Alector

Senior Associate Scientist, Bioanalytical Sciences

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In this role, you will focus on transforming large-scale observability and telemetry data into trusted, well-modeled datasets that enable data scientists, analysts, and engineers to drive insights across global CPU and GPU compute clusters. What We Need to See: MS (preferred) or BS in Computer Science (or equivalent experience) or a related field with at least 10+ years of experience designing, building, and operating large-scale data pipelines and data platforms for distributed systems or infrastructure data.

Visualize your future . . . We Do 
NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

Nvidia

Senior Data Engineer - EDA Datacenter Analytics And Observability

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We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as the senior technical authority for how SIE builds, reuses and activates trusted data and intelligence. Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management.

Sony Playstation Network

Senior Principal Engineer, Data & Machine Learning

In this role, you will focus on transforming large-scale observability and telemetry data into trusted, well-modeled datasets that enable data scientists, analysts, and engineers to drive insights across global CPU and GPU compute clusters. MS (preferred) or BS in Computer Science (or equivalent experience) or a related field with at least 10+ years of experience designing, building, and operating large-scale data pipelines and data platforms for distributed systems or infrastructure data.

NVIDIA

Senior Data Engineer - EDA Datacenter Analytics and Observability

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Ability to enable stakeholders and partners by building self-service tooling and providing training to empower stakeholder teams to be data literate and self-sufficient in autonomous reporting capabilities. In this role, youll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly.

Stripe Inc

Data Analyst, SF

Day to day, you'll develop systems that ingest, sanitize and normalize diverse datasets into meaningful structured data for analysts, scientists and engineers. We’re on a mission to simply residential real estate transactions nationwide by bringing world-class software, data science, and design to an age-old industry.

Stride Search

Data Engineer

Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas). Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift).

Notion Labs Inc

Data Engineer, Product

Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian and Volkswagen Group Technologies

Staff Technical Program Manager, AI & Data

You will partner with Engineering, Data Science, and UX to identify shared needs across the portfolio, ship intuitive self-serve platform capabilities, and drive measurable improvements in product quality, reliability, and delivery velocity. Advocate a seamless developer experience (DevEx) by delivering self-serve tools, starter kits, and product documentation that make it easy for internal application teams to adopt shared platform capabilities.

Google LLC

Product Manager, AI Data and Systems Platform

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). This is a horizontal role reporting to the VP of Product, Business that touches nearly every product team at Discord, as well as core technical teams, so you''ll need to be comfortable driving alignment across stakeholders whose goals are sometimes in tension.

Discord Inc

Group Product Manager, Data/ML

You''ll build statistical models (causal inference, incrementality testing, funnel diagnostics) that separate signal from noise, design and run a disciplined experimentation program, and partner directly with Product, Engineering, and Design to prioritize the highest-impact opportunities across the post-cart customer journey. We''re seeking a Senior Data Analyst to join our Storefront team, partnering across cart, checkout, post-purchase (returns & exchanges), and accounts to quantify what''s working, what''s broken, and what to build next.

Last Brand Inc

Senior Data Analyst, Storefront

You will apply frontier Large Language Models (LLMs) and advanced machine learning techniques to extract deep clinical meaning from messy, unstructured medical text, turning fragmented healthcare data into trustworthy, analysis-ready longitudinal datasets. Minimum of 3 years of industry experience applying advanced machine learning, NLP, and generative AI techniques (supervised/unsupervised learning, prompt engineering, agentic workflows) to clinical or healthcare datasets.

Verily Life Sciences LLC

AI Applied Scientist

Verily

This role offers a unique opportunity to shape the future of AI-driven protein design while collaborating with a dynamic, interdisciplinary team of experts in machine learning, protein engineering, cell biology, and gene editing. You will also build and mentor a team of Research Associates, and coordinate closely with Automation, Bioinformatics, Data Science, and Biology to keep the screening pipeline running smoothly from start to finish.

Profluent

Scientist II, Screening

Extensive experience across data products, marketing science, ad measurement, or media analytics, inclusive of 3+ years leading teams and at least one role where you owned a commercially licensed data product (feeds, scores, APIs, or datasets) with real revenue and SLAs. Turn movable middle propensity scoring, incrementality measurement, Markov-based switching and retention metrics, and brand choice modeling into licensed feeds and scores clients can activate and measure with each with a methodology story a sophisticated client's data science team can interrogate.

Attain

VP of Data Product

GreenHouseAPI

Manage multiple teams of research scientists and engineers working on AI for wearables and health, including post-training, sensor fusion, and biometric modeling Define and drive the research strategy and roadmap for AI-powered health and wearables experiences, setting goals informed by team insights, emerging health AI literature, and Meta's product priorities Maintain technical engagement across teams by evaluating research and product direction and quality, contributing directly to experimental design, model architecture decisions for on-device deployment, and publication strategy Partner cross-functionally with MSL, product, UXR, and data science teams to translate health and wearables AI advances into measurable improvements across Meta's devices Recruit, develop, and retain research scientists and research leaders with expertise in health AI, wearable computing, physiological signal processing, and on-device machine learning Proactively identify and resolve execution risks across research projects, including experimental bottlenecks, compute and power constraints for wearable devices, and alignment between research outputs and health product requirements Champion a team culture that values scientific rigor, reproducibility, responsible AI practices, and privacy-conscious approaches to health data Hold research leaders accountable for performance, scientific depth, and cross-functional engagement, providing consistent and constructive feedback Communicate research priorities, trade-offs, and strategic implications clearly to leadership, maintaining a perspective on key advances in health AI and wearable computing8+ years of experience in machine learning research or applied machine learning, with depth in areas such as LLM mid/post-training, applied AI, wearable computing, or on-device machine learning 4+ years of experience managing research or engineering teams, including experience managing other research leaders or technical leads Experience driving research strategy and roadmap decisions across the full ML research lifecycle, from problem formulation and experimentation through publication and production impact Experience partnering cross-functionally with hardware, engineering, product, and data science teams to translate ML research into measurable outcomes for consumer devices Experience recruiting, developing, and retaining research scientists and building high-performing research teams Experience with on-device ML optimization, including model compression, efficient inference, and power-aware deployment for resource-constrained hardware Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience managing teams working on applications of large language models in consumer tech Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Track record of publishing impactful research at top ML venues such as NeurIPS, ICML, ICLR, CHIL, or equivalents, and guiding teams to do the same Experience adhering to and implementing responsible and ethical AI practices for health applications, including privacy protection, bias mitigation, and clinical validation considerationsMeta builds technologies that help people connect, find communities, and grow businesses. You will shape the research strategy for AI-powered health and wearables experiences, guide the translation of novel findings into impactful product features, and partner closely with hardware, applied research, engineering, and product organizations to deliver meaningful health and wellness outcomes at scale.

Data Scientist Jobs in San Mateo, CA

Senior Manager - Data Engineering Tredence Inc

Senior Scientist, Translational Science & Biomarkers ImmunEdge, Inc

Senior Applied AI/ML Scientist - Compass Faire Wholesale Inc

Applied Research Scientist - Trust and Safety TikTok Inc

Senior Associate Scientist, Bioanalytical Sciences Alector

Senior Data Engineer - EDA Datacenter Analytics And Observability Nvidia

Senior Principal Engineer, Data & Machine Learning Sony Playstation Network

Senior Data Engineer - EDA Datacenter Analytics and Observability NVIDIA

Data Analyst, SF Stripe Inc

Data Engineer Stride Search

Data Engineer, Product Notion Labs Inc

Staff Technical Program Manager, AI & Data Rivian and Volkswagen Group Technologies

Product Manager, AI Data and Systems Platform Google LLC

Group Product Manager, Data/ML Discord Inc

Senior Data Analyst, Storefront Last Brand Inc

AI Applied Scientist Verily Life Sciences LLC

AI Applied Scientist Verily

Scientist II, Screening Profluent

VP of Data Product Attain

Research Scientist Manager, AI for Wearables and Health Meta Platforms Inc

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