132 Results for

Model Jobs in South San Francisco, CA

Jobs

New!

Mountain View, CA6 days ago

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. These models serve as the core intelligence behind delivering the right ad to the right user at the right time, maximizing both user experience and advertiser outcomes.

New!

Mountain View, CA6 days ago

New!

Mountain View, CA6 days ago

New!

Mountain View, CA6 days ago

$139,900–$274,800 Per Year

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 $188,000 - $304,200 per year. Join our team within  CoreAI, where we are building the AI data-plane that powers all LLM inferencing workloads across Microsoft and Azure customers—from cutting-edge startups to Fortune 500 enterprises.

New!

Mountain View, CA6 days ago

$119,800–$234,700 Per Year

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. Join our team within CoreAI, where we are building the AI data-plane that powers all LLM inferencing workloads across Microsoft and Azure customers—from cutting-edge startups to Fortune 500 enterprises.

New!

San Francisco, CA6 days ago

$120,000–$170,000 Per Year

As a Product Manager on our Hive Models team, you will work cross-functionally with all stakeholders to define product requirements and see the implementation through to completion, leading development efforts between our Machine Learning, Core Infrastructure, and Product teams. Own our Hive Models portfolio, understanding the needs of the product development teams, and envisioning and executing the creation of our deep learning models that can provide human-like interpretation of video, image, audio and text.

New!

Mountain View, CA6 days ago

$139,900–$274,800 Per Year

Own the model security roadmap: Define and prioritize the security hardening strategy for our frontier models across the full OWASP LLM threat surface — prompt injection (direct and indirect), data exfiltration, jailbreak resistance, system prompt leakage, training data extraction, and adversarial manipulation of agentic workflows. 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 $188,000 - $304,200 per year.

New!

San Francisco, CA6 days ago

Demonstrate technical leadership and subject matter expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference.

New!

Mountain View, CA6 days ago

$163,000–$296,400 Per Year

Do the work yourself: Personally produce high-quality IC output — whether thats crafting model personality specifications, designing interaction prototypes, defining prompt taxonomies, or building evaluation frameworks for response quality. Bachelors Degree in Product Design, Human-Computer Interaction, Interaction Design, Communication Design, Linguistics, or related field AND 8+ years experience in product design, experience design, or a related creative discipline.

mountain view, CA30+ days ago

$202,350–$303,050 Per Year

You have subject matter expertise and research in one or more of the following areas: scalable generative and diffusion models, generative model alignment with reward/cost models, controllability, distillation, mode recovery, fine-tuning with closed-loop RL, applications to autonomous driving and robotics, and other experiences such as video generation, text-to-image generation, in-painting/out-painting and so on. The first commercial application of the Nuro Driver is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.

San Francisco, California30+ days ago

You'll lead research initiatives that generate alpha and improve execution quality, mentor junior researchers, and collaborate closely with our Trading desk to translate quantitative insights into profitable systematic strategies while maintaining rigorous risk management. As we expand our presence on betting exchanges, we're building infrastructure and strategies akin to those found in traditional financial markets.

San Jose, CA9 days ago

Data Integration & Management: Develop, monitor, and troubleshoot data integration pipelines (e.g., Anaplan Connect, CloudWorks, or Pigment integrations) from ERPs/CRMs like NetSuite, Salesforce, or SAP. Model Building & Design: Configure and maintain Anaplan lists, modules, complex calculations, dashboards, and user experience (UX) pages, applying best practices (e.g., DISCO methodology) to ensure scalability.

New!

Cupertino, CA3 days ago

$95–$95.23 Per Hour

We are seeking a highly motivated CAE Engineer with expertise in non-linear static and dynamic Finite Element Analysis (FEA) to support the design and development of high-volume consumer electronic products. This role will focus on structural, thermomechanical, and heat transfer simulations while collaborating cross-functionally to drive robust, optimized designs from concept through production.

palo alto, CA30+ days ago

$84,000–$204,000 Per Year

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 deduction. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

San Jose, CA30+ days ago

$144,000–$198,000 Per Year

As a member of the Battery Cell Engineering team, you will be responsible for the development, validation, and maintenance of models that describe the electrical behavior of cells over their operational life. Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility.

New!

Palo Alto, CA4 days ago

$20–$55 Per Hour

Welcome to Tesla's Optimus Robotics Team, the epicenter of innovation, where we're not just designing humanoid bi-pedal robots like the Tesla Bot; we're creating a revolution in automation for repetitive tasks. Join us in this thrilling journey, where you'll find yourself at the intersection of mechanical, electrical, controls, software, and manufacturing engineering disciplines, working collaboratively to drive the future of robotics.

Palo Alto, CA30+ days ago

$128,000–$228,000 Per Year

You will act as a primary technical lead, providing high-level guidance to unblock the team on complex theoretical challenges while managing project timelines and resource allocation across multiple high-priority programs. Provide deep technical guidance to Senior Engineers to resolve roadblocks in numerical methods, code architecture, or complex thermal phenomena (e.g., hysteresis in non-ideal chemistries).

Mountain View, CA11 days ago

Our Client is seeking a PhD student in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on Connected Driving World Models. D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / machine learning.

palo alto, CA30+ days ago

$84,000–$204,000 Per Year

Using this powerful suite of in-house and commercial tools, we predict and shape the lateral, longitudinal, and vertical dynamic behaviors from the earliest architectural concepts to the final production tuning. Create and implement objective metrics to correlate simulation with real-world performance, designing and supporting vehicle tests for high-quality data collection.

Burlingame, CA30+ days ago

$110,000–$270,000

Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location.

San Francisco, CA19 days ago

Full-time
Employee

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

San Jose, CA30+ days ago

Develop and conduct qualitative customer research and complete quantitative market research including one or more of the following research methods: Build-Your-Own Conjoint, Discrete Choice Conjoint, Gabor-Granger. We are a small, highly leveraged team that defines monetization strategy for the entire company and this particular role will be passionate about opportunities within the Digital Experience business, cantered around Experience Cloud.

San Jose, CA30+ days ago

$90–$126.75 Per Hour

Develop and conduct qualitative customer research and complete quantitative market research, including one or more of the following research methods: Build-Your-Own Conjoint, Discrete Choice Conjoint, Gabor-Granger. We are a small, highly leveraged team that defines monetization strategy for the entire company, and this particular role will be passionate about opportunities within the Digital Experience business, centered around Experience Cloud.

palo alto, CA30+ days ago

This role is a unique opportunity to merge your passion for vehicle dynamics, software development, and data science to directly impact products that accelerate the world's transition to sustainable energy. Apply statistical analysis and machine learning techniques to correlate simulation models with real-world performance data, identifying key performance indicators and areas for improvement.

santa clara, CA30+ days ago

As a member of the Power Modeling, Methodology and Analysis Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms.

Mountain View, CA13 days ago

Full-time
Employee

We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a part of the Ember team, you will help reimagine Google Images, a platform serving over a billion daily interactions, to build a queryless, hyper-personalized feed that fuels creativity worldwide.

Santa Clara, CA30+ days ago

$65–$70 Per Hour

Essential FunctionsLead model monitoring activities, including tracking performance metrics, detecting model and data drift, identifying data quality issues, providing root cause analysis, and recommending remediation strategies. This includes providing effective challenges to model development, conduct model monitoring and performance tracking, provide root cause analysis of model performance, exploring, building, validating, and deploying models.

Burlingame, CA18 days ago

$120,000–$160,000

palo alto, CA30+ days ago

$132,000–$390,000 Per Year

Working alongside our AI team, you will design metrics that utilize fleet data and run on large inference clusters to help drive key decisions about end-to-end model architecture, data integrity, and exported model performance. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

Sunnyvale, CA30+ days ago

Full-time
Employee

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA.Minimum qualifications: Bachelor's degree or equivalent practical experience.

Sunnyvale, CA30+ days ago

$165,000–$195,000 Per Year

D. in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience Expertise with Time Series FMs (beyond the time series task of forecasting) In-depth experience in signal processing for sensor data and their integration with deep-learning methods Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant open-source projects Strong interpersonal, communication, and teamwork capabilities. Preferred Qualifications 3+ years of experience in industrial research Experience with one or more of the following areas: data-centric AI, synthetic data generation, agentic AI Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow) Familiarity with high-performance computing systems and job schedulers (Slurm, LSF) Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints.

New!

San Jose, CA4 days ago

$115–$126.76 Per Hour

Develop and conduct qualitative customer research and complete quantitative market research including one or more of the following research methods: Build-Your-Own Conjoint, Discrete Choice Conjoint, Gabor-Granger. Duties: Job Responsibilities: We are a small, highly leveraged team that defines monetization strategy for the entire company, and this role will be passionate about opportunities within the Digital Experience business, centered around Experience Cloud.

New!

Santa Clara, CA4 days ago

Your day-to-day work will include (1) analyzing the properties of emerging machine learning algorithms and workloads and identifying functional, performance implications (2) Creating analytical models to project performance on current and future generations of d-matrix hardware (3) proposing new HW/SW features to enable or accelerate these algorithms . Experience with developing analytical performance models, architecture simulators for performance analysis, Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc.).

Mountain View, CA11 days ago

Full-time
Employee

Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. As a Product Manager in the Ad Relevance and User Quality team, you will play a key role in building the ML models that are responsible for showing useful ads to users across Google Search and AI Mode.

Sunnyvale, CA30+ days ago

Full-time
Employee

Burlingame, CA26 days ago

Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

Cupertino, CA30+ days ago

Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. Contribute to performance modeling efforts - building cycle-approximate models that help architects evaluate design trade-offs before RTL exists.

Cupertino, CA30+ days ago

What youll do: - Build and own models of SoC subsystems - translating architecture specs and RTL behavior into accurate, testable C++ models - Work directly with RTL design and verification teams to validate model behavior against RTL, debug discrepancies, and support pre-silicon verification flows - Develop model-based test infrastructure: regression suites, RTL correlation checks, and coverage-driven testing - Contribute to performance modeling efforts - building cycle-approximate models that help architects evaluate design trade-offs before RTL exists - Improve modeling methodology and infrastructure: how models are structured, integrated, tested, and released to DV and architecture teams - Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability Why this role is interesting: - Your models are used to verify silicon before its built - bugs you catch save months of schedule and millions of dollars - Youll work at the intersection of software engineering and chip design, with deep visibility into how custom ML accelerators are architected - As the team scales, theres a clear path into architectural modeling - using your models to influence chip design decisions, not just validate them - Small team, high ownership, direct impact on AWSs most strategic silicon programs You will thrive in this role if you: - Have built functional or performance models of SoCs, ASICs, GPUs, CPUs, or IP blocks - Are comfortable working with architectural / design specifications or reference implementations and translating them into C++ or SystemC models - Understand verification concepts and have worked with DV teams or in pre-silicon validation environments - Care about model fidelity and have experience correlating models against RTL or silicon - Are interested in expanding into architectural performance modeling as the team grows - Enjoy working on a small, high-impact team where you own significant pieces of the stack No ML background needed. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle.

Mountain View, CA25 days ago

Full-time
Employee

We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Fremont, CA30+ days ago

Data Engineer (Ontology & Semantic Modeling) to design scalable data pipelines, contribute to an ontology-driven semantic layer, and help improve database schema and performance across our platform. 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.\n \nSoundThinking expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

San Jose, California30+ days ago

We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary.

San Francisco, CA30+ days ago

$204,000–$247,000 Per Year

About this role: The Staff Software Engineer for the Model LifeCycle team will play a key role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). Collaboration and impact: Work closely with Principal Engineers, product, business, and platform teams to implement the core abstractions and APIs of the system.

Burlingame, CA16 days ago

Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

Santa Clara, CA30+ days ago

Prototype and iterate rapidly on experiments across powerful AI domains, including agentic systems, reinforcement learning, reasoning, and video generation in partnership with customer/partner teams. We are seeking a hardworking and technically skilled engineer to join our Physical AI Technical Marketing team, focusing on building world-class technical materials for world models within various industries.

New!

Palo Alto, CA4 days ago

$140,000–$390,000 Per Year

Expected Compensation $140,000 - $390,000/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. What You'll DoDesign, train, and iterate on neural network architectures for autonomous driving and robotics, with a focus on efficiency-aware model design (architecture search, distillation, pruning, quantization-aware training) .

San Jose, California30+ days ago

The ideal candidate has deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation, has experience training models at scale and is passionate about innovating efficient approaches to enable distributed training and inference at scale on AMD devices. Impactful Work: Your contributions will directly influence how cutting-edge gen AI models across the industry are efficiently trained at scale as well as inferencing deployed to serve millions of customers, making a significant difference in various industries and applications.

santa clara, CA30+ days ago

The ideal candidate will not only possess strong technical skills but also exhibit a deep curiosity, investigative mindset, and a passion for staying up-to-date with the latest advancements in the AI landscape. Understand how models map onto the Tenstorrent devices through compilation steps and kernels, investigate any gaps in functionality and performance, propose innovative solutions to mitigate any issues.

Palo Alto, CA30+ days ago

Remote

€100,000

Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models.

san francisco, CA30+ days ago

Contribute directly to key components across the serving infrastructure \u2014 from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling \u2014 ensuring smooth and efficient operations at scale. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.

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Model Jobs in South San Francisco, CA

Senior Machine Learning Engineer, Vector Core Modeling Unity Software

Machine Learning Engineer, Vector Core Modeling Unity Software

Staff Machine Learning Engineer, Vector Core Modeling Unity Software

Principal Software Engineer - CoreAI Model Inference & Serving Microsoft

Senior Software Engineer - CoreAI Model Inference & Serving Microsoft

Product Manager, Models Hive

Principal Product Manager, AI Model Security Microsoft

Senior Systems Engineer - Model Builders VAST Data

Senior Director, Design - Model Experience Microsoft

Senior/Staff Machine Learning Research Scientist: Generative Models for Behavior Modeling Nuro Inc

Senior Quantitative Researcher - Risk Modeling Swish Analytics

BSA - Anaplan/Pigment (Model Builders) [Pigment is very important, if you don t get it send with Ana Spark Tek Inc

Simulation and Modeling Engineer Artech LLC

Cell Technology Modeling Engineer Tesla Inc

Cell Modeling Engineer Archer

Internship, Robotics Modeling & Simulation Engineer, Optimus (Fall 2026) Tesla Motors

Staff Cell Thermal Modeling Engineer Tesla Inc

Summer Intern Connected Driving World Models LER TechForce

Vehicle Dynamics Modeling Engineer Tesla Inc

Data Scientist - Model Optimization quadric, Inc

Head of Energy Risk Management and Grid Modeling Google

Business Model Strategy Senior Product Manager Intelliswift Software Inc

Business Model Strategy Senior Product Manager Ursus, Inc.

Vehicle Dynamics Modeling Engineer, Simulation Infrastructure Tesla Inc

Senior Architecture Energy Modeling Engineer NVIDIA Corp

Software Engineer III, AI/ML, Image Recommendation Modeling Google

Data Scientist II Model Validation and Monitoring PeopleNTech LLC

Data Scientist, New Grad - Model Optimization quadric, Inc

Software Engineer, Metrics, GenAI Model Evaluation Tesla Inc

Staff SWE, Compiler Architect, System Performance Modeling Google

Senior AI Research Scientist- Time-Series Foundational Models Robert Bosch GmbH

Business Model Strategy Senior Product Manager Varite, Inc

Principal Architect, Performance Analysis and Modeling d-Matrix

Product Manager, Search Ads Quality Modeling Google

Hardware Architecture Modeling Engineer, PhD, University Graduate Google

Data Science Intern - Model Optimization quadric, Inc

Senior Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com Inc

Pre-Silicon SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com Inc

Staff Software Engineer, Applied Research, Foundation User Models Google

Sr. Data Engineer - Ontology & Semantic Modeling SoundThinking Inc

Director Software Development, AI Models and Research Advanced Micro Devices, Inc

Staff Software Engineer, Model LifeCycle Crusoe Energy Systems LLC

AI Inference Engineer Intern - Model Pruning quadric, Inc

Technical Marketing Engineer, World Models - AV Physical AI NVIDIA Corp

Software Engineer, Model Hardware CoDesign Tesla Motors

Sr. Manager Software Development, AI Models and Applications Advanced Micro Devices, Inc

Sr. Staff Engineer, AI Models and Applications Advanced Micro Devices, Inc

C++/Machine Learning Engineer, AI Models Training Tenstorrent Inc

Machine Learning Researcher / Engineer (Foundational Models) Pathway

Staff Engineer, Model Serving Databricks Inc

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