2,084 Results for

Computer Scientist Jobs in Milpitas, CA

Jobs

Computer Scientist - Junior Analytical Mechanics Associates

Mountain View, California

AMA is seeking motivated and detail-oriented Junior Computer Scientist to join our team in Moffett Field, CA supporting NASA on the Aircraft Systems and Spaceflight Engineering Support Services (ASSESS) contract at NASA Ames Research Center (ARC). Demonstrate the Cobra C++ OpenVSP custom component in a gradient optimization problem using CBAERO-adjoint solver within the NASA Ames Opensource Condor Optimization software.

17 days ago

Machine Learning/Computer Vision Research Scientist Hitachi

Santa Clara, California

Solve customer research problems: i) understand the customer problem through multiple discussions with customer, ii) apply mathematical formulation of the problem, iii) understand customer data, iv) implementation of the concept and testing the hypothesis through experimentation, v) repeated discussion with customer and make appropriate modifications to the proposed solution to meet customers’ business needs, vi) work with the production team to deliver a robust and reliable end-user solution. Duties: Research and implement advanced deep learning models for custom computer vision tasks, including object detection, identification, tracking, and comparison, with a focus on developing generalized AI solutions capable of few-shot learning in data-scarce environments.

23 days ago

ML Research Scientist (Computer Vision) Metamorphic

Palo Alto, California

Metamorphic is developing new approaches to intelligence by combining machine learning with large-scale experimental neuroscience, informed by the principles that make the brain efficient, flexible, and robust. Our work sits at the frontier of AI research, and we believe the highest-impact discoveries will come from researchers and engineers working as a single, tightly collaborative team.

30+ days ago

Research Scientist Intern, Monetization Computer Vision (PhD) Meta Platforms Inc

Menlo Park, CA

D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Experience in C, C++, Python, Java, or other related programming language Experience building systems based on machine learning and/or deep learning methods Intent to return to degree-program after the completion of the internship/co-op Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL Experience with Generative AI, including diffusion models and LLM's Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science Experience solving analytical problems using quantitative approaches Experience setting up ML experiments and analyze their results Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources Experience in utilizing theoretical and empirical research to solve problems Experience working and communicating cross functionally in a team environmentMeta builds technologies that help people connect, find communities, and grow businesses. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

13 days ago

Senior Data Scientist - Computer Vision Recruiting From Scratch

San Francisco, California

Company Stage of Funding: Debt Financing — Software Development, AI, Cybersecurity, Fintech, Financial Services, Government, Healthcare, Gaming, Ecommerce, Enterprise, Security. Collaborate with cross-functional teams to integrate computer vision solutions into existing products and services.

30+ days ago

Data Scientist / Computer Vision Engineer Glint Tech Solutions LLC

Sunnyvale, CA

We are seeking a highly experienced Data Scientist / Computer Vision Engineer to join an innovative AI team building large-scale computer vision solutions for enterprise applications. The ideal candidate will have deep expertise in NVIDIA DeepStream , GPU optimization, distributed computing, and production-grade computer vision systems.

30 days ago

Introduce yourself! - Electrical Engineering & Computer Science Exponent Inc

Menlo Park, CA

We perform investigations in a wide array of areas, including: optics; power systems; semiconductors; consumer products; vehicles; medical devices; radio waves; software; networks; controls; and batteries-to name a few. To learn more about life at Exponent and our impact, please visit the following links: https://www.exponent.com/careers/life-exponenthttps://www.exponent.com/company/our-impact .

15 days ago

Senior Applied Scientist and Principal Applied Scientist Microsoft Corp

Mountain View, CA

$119,800–$234,700 / year

Preferred Qualifications: Bachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Required Qualifications: Bachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

30+ days ago

Senior Applied Scientist Microsoft Corp

Sunnyvale, CA

$119,800–$234,700 / year

Design and evaluate multi-task and proxy-signal models, improve offline and online measurement frameworks, and translate modeling advances into production-ready systems that directly impact ad ranking, bidding, advertiser ROI, and user experience at web scale. Focus on building estimated conversion models, designing data-driven attribution and weak-label generation pipelines, and developing robust learning and calibration methods for scenarios where true user outcomes are sparse, delayed, or unobservable.

30+ days ago

Senior Applied Data Scientist Microsoft Corp

$119,800–$234,700 / year

The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

30+ days ago

Principal Applied Scientist - Auction & Bidding Microsoft Corp

Mountain View, CA

$139,900–$274,800 / year

They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers' experience and the ad marketplace's long-term health to collectively and continually increase the revenue for Microsoft Advertising. We are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control.

30+ days ago

Principal Data Scientist Microsoft Corp

$139,900–$274,800 / year

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

30+ days ago

Senior Data Scientist Microsoft Corp

$119,800–$234,700 / year

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

30+ days ago

Computational Pathology Scientist The Fountain Group LLC

South San Francisco, CA

$50–$62 / hour

The role combines computer vision, machine learning, deep learning, and image-processing expertise to improve pathology data analysis and support biologically meaningful interpretation of complex image datasets. Partner with computational scientists, data scientists, and cross-functional research teams to continuously improve digital pathology workflows and analytical approaches.

30+ days ago

Principal Applied Scientist, Experimentation Platform - CoreAI Microsoft Corp

Mountain View, CA

$142,800–$274,800 / year

Required Minimum Qualifications: Bachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Proven track record designing and scaling online experimentation platforms that support high‑velocity A/B and multivariate testing across complex, multi‑team product ecosystems, including governance, guardrails, and causal inference best practices.

24 days ago

Principal, Data Scientist, Experimentation Sciences Walmart Inc

Sunnyvale, CA

$143,000–$286,000 / year

You will partner closely with engineering, product, and business teams to modernize our statistical tooling, improve self-service experimentation, and extend our measurement framework to emerging AI use cases including LLM evals, prompt evaluation, hybrid human/LLM judging, and offline-to-online quality measurement. Lead the design of scalable statistical frameworks for online experiments across product, business, and operational use cases, including guardrails, heterogeneity analysis, sequential decisioning, variance reduction, and quasi-experimental methods when randomized tests are not feasible.

30+ days ago

Research Scientist - Central Applied Science Meta Platforms Inc

Menlo Park, CA

Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products which impact the business Develop novel quantitative methods on top of Meta's unparalleled data infrastructure Work towards long-term ambitious research goals, while identifying intermediate milestones Communicate best practices in quantitative analysis to partners Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users Actively identify new opportunities for scientific tooling and systems to yield outsized impact, in line with Central Applied Science's role and mission within MetaBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in computer science, statistics, operations research or a related field 4+ years of industry experience in an applied R&D capacity or similar function Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields Experience analyzing datasets using languages such as Python Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn Experience developing algorithms in languages such as Python, C, C++ or Java Experience analyzing large datasets using tools such as Presto, Hive or Spark Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Track record of building end-to-end systems which bring science and engineering to solve critical business problems Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Engagement with leaders to drive decision-making based on a thorough understanding of science and business constraintsMeta builds technologies that help people connect, find communities, and grow businesses. Individuals in this role are expected to perform well in a research engineering capacity and hold publications within research areas including artificial intelligence, machine learning, statistics, operations research, causal inference and experimentation.

13 days ago

Data Engineer & Scientist The Fountain Group LLC

Santa Clara, CA

Remote

$80–$88.89 / hour

You will act as both a strategic partner as well as builder, developing deep insights, building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise.

8 days ago

Senior Computer Vision Engineer ASUSTeK Computer Inc

Fremont, CA

$164,000–$237,000 / year

Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence. Knowledge and Skills: Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).

23 days ago

Senior Computer Vision Engineer Epia Neuro

Alameda, California

Lead and own productization of the computer vision models, taking validated prototypes to a deployable inference runtime that meets real-time latency and power budgets on wearable and edge hardware. Partnering with our R&D scientists, you'll help shape vision models from concept, then lead their productization from validated prototype to a real-time inference runtime on wearable hardware, ready for clinical study.

29 days ago

Data Scientist, Principal Sunrise Systems Inc

Oakland, CA

Job Summary : We are seeking an experienced Principal Data Scientist to design and develop predictive machine learning models, analyze large datasets, and deliver data-driven solutions that support business decisions. Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].

18 days ago

Computational Scientist II The Fountain Group LLC

South San Francisco, CA

Analyze large-scale single-cell sequencing and perturbation datasets (e.g., scRNA-seq, Perturb-seq, CROP-seq, Sci-Plex). PhD required in Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics, or a related quantitative or life sciences field.

17 days ago

Applied Scientist II (Bing Places) Microsoft Corp

Mountain View, CA

$100,600–$199,000 / year

We are looking for Applied Scientists to help design, build, and ship advanced AI and machine learning solutions-spanning large language models (LLMs), retrieval augmented generation (RAG), learning‑to‑ranking, and entity understanding-to deliver high‑quality, trustworthy local search experiences at scale. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

30+ days ago

Staff, Data Scientist Walmart Inc

Sunnyvale, CA

$143,000–$286,000 / year

About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart's product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases.

30+ days ago

Senior Data Scientist Walmart Inc

Sunnyvale, CA

$117,000–$234,000 / year

About Team Our team partners closely with retail and e-commerce business units to deliver innovative technology solutions that improve customer experiences across digital and in-store channels. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

30+ days ago

Senior Data Scientist - Microsoft Advertising Microsoft Corp

Mountain View, CA

$119,800–$234,700 / year

Required Qualifications: • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • Equivalent experience. Preferred Qualifications: • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ • Committed organizational, analytical, data science skills • Ability to solve problems that the world has not solved before • Experience with real world system building and data collection, including design, coding and evaluation • Experience with driving large collaboration across multiple teams • Experience with communicating with different audiences to provide insights • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

30+ days ago

Research Scientist, Google Research Google LLC

Mountain View, CA

From creating experiments and prototyping implementations to designing new architectures our research scientists work on real-world problems that span the breadth of computer science such as machine and deep learning data mining natural language processing hardware and software performance analysis improving compilers for mobile platforms as well as core search and much more. As a Research Scientist youll also actively contribute to the wider research community by sharing and publishing your findings with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

30+ days ago

Junior Software Developer /Data Scientist/Python Programmer - Remote SynergisticIT

San Francisco, CA

Remote

$95,000–$154,000 / year

Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

30+ days ago

Senior Data Scientist Snowflake Inc

Menlo Park, CA

$156,000–$224,200 / year

Deep modeling skills, including strong judgment around when to use simpler driver-based approaches versus more advanced methods such as hierarchical, Bayesian, probabilistic, deep learning, or state-space models. You will work on high-impact, open-ended problems involving revenue forecasting, customer consumption behavior, workload ramps, renewals, and other leading indicators that feed Snowflake's broader financial planning processes.

30+ days ago

Applied ML Scientist (Staff / Principal) Genesis Molecular AI

San Mateo

Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. A scientist who speaks the language of experimental drug discovery, with a strong familiarity with common assay types (biochemical/binding/cell-based assays, in vivo studies, etc.) and CADD workflows (docking, virtual screening, ADME prediction, etc.).

30+ days ago

Research Scientist, Life Sciences Computational Anthropic PBC

San Francisco, CA

$300,000–$320,000 / year

Build, run, and maintain the analysis pipelines that back the team''s experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. You''ll bring broad computational biology experience to bear across the team''s projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands.

7 days ago

Computational Scientist II Lancesoft

South San Francisco, CA

Prior exposure to LLM applications is a big plus whether through building and deploying LLM-powered pipelines, working with agentic frameworks such as LangSmith, retrieval-augmented generation (RAG) architectures, harness engineering or guardrail design, or integrating LLM APIs into functional tools. You will work at the interface of AI engineering and quantitative pharmacology, partnering closely with M&S Scientists and Clinical Pharmacologists to develop tools that are scientifically grounded, reliable, and impactful.

28 days ago

Senior Data Scientist Conviva, Inc.

Foster City, CA

$180,000–$230,000 / year

What Success Will Look Like: Design, build, and optimize ML models and solutions - spanning traditional statistical ML, neural networks, and deep learning - to solve real-world problems in large-scale, real-time digital performance analytics. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry-capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions.

9 days ago

Battery Simulation & Computational Scientist Internship Sila Nanotechnologies Inc

Alameda, CA

$25–$39 / hour

Sila Nanotechnologies is seeking a Battery Simulation & Computational Scientist (Intern) to: • Architect and implement physics-based battery models using PyBaMM. • Fit electrochemical models to experimental data and evaluate model performance across a range of different electrochemical test techniques.

30+ days ago

Data Scientist/Machine Learning Engineer CATHEXIS

Redwood City, CA

$125,000–$150,000

The Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.

2 days ago

Research Scientist, ML H-W/S-W Codesign Meta Platforms Inc

Sunnyvale, CA

These may involve novel approaches not yet established in the industry Work across hardware and software, to solve co-design problems with other Research scientists working in this area Codesign and invent novel ML accelerator and system architecture solutions, and facilitate the integration of algorithms and software to utilize these enhancements Develop state-of-the-art model compression and scalability techniques using Numerics, pruning, distillation etc Optimize models on hardware accelerators to achieve target performance given various real time latency and power constraints Influence partners to adopt recommended solutions through data-driven analysis and clear communication of trade-offs Define use cases, and develop methodology & benchmarks to evaluate different approaches Apply in-depth knowledge of how the ML acceleration interacts with the other systems around it Attend conferences, interpret papers, and stay updated with latest research advancements in the field of ML acceleration; contribute to patents and/or publications in peer-reviewed conferences and journalsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in Electrical Engineering, Computer Science, or relevant technical field, or equivalent practical experience PhD in Electrical Engineering, Computer Science, or equivalent experience Experience developing AI-System infrastructure, AI algorithms or AI hardware acceleration in C/C++ or Python Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience working and communicating cross-functionally in a team environment Demonstrated research and engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Experience with PyTorch, TensorFlow or similar machine learning toolsets Experience or knowledge of training/inference of Large scale AI models - CV and/or LLMs Experience or knowledge of architecting ML hardware accelerators and systems Experience evaluating alternative system or algorithm designs by analyzing trade-offs in performance, power, and latency to recommend a solution Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as ICLR, NeurIPS, CVPR, ACL, ICML, MLSys, ISCA, MICRO, DAC, ASPLOS etc Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience or knowledge of on-device algorithm development including hardware-aware ML models and/or optimizing ML compilers for efficient deployment on AI acceleratorsMeta builds technologies that help people connect, find communities, and grow businesses.

6 days ago

(USA) Principal, Data Scientist Walmart Inc

Sunnyvale, CA

$143,000–$286,000 / year

The Reliability Engineering group at Walmart Global Tech builds intelligent, data-driven platforms that ensure the availability, performance, and efficiency of Walmarts enterprise and e-commerce systems at massive scale. With amenities like on-site childcare at our Little Squiggles Children's Enrichment Center, the Walton Family Whole Health & Fitness Center, and a vibrant food hall featuring local and international favorites, we're creating a space where work-life balance isn't just a goal-it's a reality.

30+ days ago

(USA) Staff, Data Scientist Walmart Inc

Sunnyvale, CA

$143,000–$286,000 / year

About the team: Spark Driver Platform operates across all 50 U.S. states, empowering millions of drivers to provide local delivery and making it Walmart's largest local delivery service provider. Our key focus areas include Capacity Planning, Driver Search, Driver Matching, Driver Offer Pricing, Driver Surge Pricing, Incentive Strategy, ETA Prediction, and Trust Safety.

7 days ago

Distinguished, Data Scientist Walmart Inc

Sunnyvale, CA

$169,000–$338,000 / year

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch). Deep expertise in search, information retrieval, and ranking systems at scale Strong understanding of neural search architectures, ML/AI, and generative models Experience applying LLMs and agentic AI techniques to production systems Demonstrated ability to translate technical solutions into business impact Excellent cross-team collaboration and communication skills Proven ability to influence technical direction and mentor senior technical contributors.

30+ days ago

Senior Data Scientist # 4630 Grail Inc

Menlo Park, CA

$156,000–$187,000 / year

We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicines greatest challenges. You will collaborate closely with scientists, engineers, and clinicians to identify novel biological signals, improve classification performance, and develop innovative approaches for cancer detection and categorization using GRAILs rich sequencing datasets.

30+ days ago

Software Engineer, Sensors & Computer Vision Meta Platforms Inc

Sunnyvale, CA

Degree must be completed prior to joining Meta Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5+ years of experience coding with C++ and Python for design and development of sensor fusion and machine learning technologies and systems Demonstrated experience with modern machine learning frameworks such as PyTorch or TensorFlow Familiarity with modern machine learning algorithms, specifically deep Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), transformers, clustering, and dimensionality reduction Experience with common digital signal processing techniques such as digital filtering, Fourier transform, correlation, and modulation Experience in designing software systems and machine learning models targeted for edge devices Familiarity with the emerging augmented reality and virtual reality technologies Demonstrated experience in cross-group and cross-culture collaboration Proven track record of achieving significant results as demonstrated by patents or first-authored publications MS or PhD degree in Computer Science, Machine Learning, Robotics or related technical field Experience developing novel approaches to complex technical problems, such as proposing new architectures, algorithms, or system designs Familiarity with Simultaneous Localization and Mapping (SLAM) and Visual Inertial Odometry (VIO) Experience with cameras and 3D image reconstruction techniques Familiarity with cameras, inertial sensors, pressure sensors, magnetometers, and/or similar sensorsMeta builds technologies that help people connect, find communities, and grow businesses. Design and develop new frameworks and core software components to implement, optimize, visualize, and debug sensor fusion and machine learning algorithms Design and implement state-of-the-art Machine Learning Algorithms using PyTorch, TensorFlow, or other platforms Develop relationships and lead engagements with internal and external industrial and research partners to develop and scale novel technologies from incubation to production Collaborate with other engineers and researchers across Meta to develop new concepts and technologies for next-generation sensor systems, including alternative sensing modalities and novel sensing algorithms that advance the state-of-the-art in AR/VR systemsCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

10 days ago

Senior Data Scientist Rundoo Inc

Redwood City, CA

Remote

You'll own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible (not just a one-off notebook). Matt (Sales): Studied history at Northwestern; taught middle school in Chicago (hardest job ever), led sales for a consumer start-up (Catch Co.), joined Rundoo as an AE and now leads the GTM team; former competitive angler in college (bass fishing ).

30+ days ago

Research Scientist, Adaptive Compute, DeepMind Google LLC

Mountain View, CA

From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you"ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

3 days ago

Research Scientist, Gemini Commercial Intelligence, DeepMind Google LLC

Mountain View, CA

6 days ago

Research Scientist, Recommendation Systems, DeepMind Google LLC

Mountain View, CA

28 days ago

Research Scientist, Sound Understanding, DeepMind Google LLC

Mountain View, CA

24 days ago

AI Research Scientist, Applied AI, Google Cloud Google LLC

Sunnyvale, CA

From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.

28 days ago

Staff AI Research Scientist, Applied AI, Google Cloud Google LLC

Sunnyvale, CA

From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.

29 days ago

AI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID Genentech Inc

South San Francisco, CA

$127,500–$236,900 / year

The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Connect Molecular and Clinical Data: Create models that link heterogeneous molecular and cellular data with clinical outcomes, specifically focusing on prognostic, predictive, and pharmacodynamic biomarkers.

30+ days ago

Research Scientist - Salesforce AI Research Salesforce

Palo Alto, California

Candidates have a strong background in one or more of the following areas: Agentic AI and Reasoning: Large language model (LLM)-powered agents, reinforcement learning (RL), reasoning and planning, autonomous workflows, self-evolving agent systems, computer use agents, deep research agents, and coding agents. Core Modeling and Post-Training: Machine learning methodology, pre-training and post-training techniques including reinforcement learning from human feedback (RLHF) and direct preference optimization (DPO), model distillation, evaluation, causal inference, and time series modeling.

30+ days ago

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