40 Results for

Model Jobs in Lakeville, CA

Jobs

Fairfield, CA30+ days ago

$50–$60 Per Hour

Bachelor of Science in Business, Finance, Economics, Engineering or related discipline or equivalent work experience required. Communicates with peers inside and outside of the department, providing information or exchanging data.

Fairfield, CA20 days ago

$50–$60 Per Hour

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 Francisco, CA10 days ago

$190,000–$250,000 Per Year

You will work across the full robotics and autonomy stack - building robust, production-grade software that scales as we deploy more robots into high-throughput operations - while serving as the team''s deep expert in system identification, dynamics modeling, and model-based control. Design and execute system identification experiments for actuators, mechanisms, and full robot subsystems - motors, arms, elevators, drivetrains - fitting dynamic models via regression and curve-fitting to derive accurate feedforward and feedback controllers.

San Francisco, CA16 days ago

$117,725–$138,500 Per Year

Strong knowledge of various regression techniques, times series techniques, parametric and non-parametric models, and other statistical models, various model validation tests/methodologies, using Python, R, SAS, or similar statistical package. In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

San Francisco, CA10 days ago

$152,501.86–$193,409.22 Per Year

A typical way to obtain the required qualifications would be: Education and Experience: Equivalent to a bachelor's degree from an accredited college or university with major coursework in planning, civil engineering, environmental science, communications, business or public administration, or a related field and seven (7) years of increasingly responsible professional experience in a field related to assigned area of responsibility. Finally, this role will include mentoring staff in technical development, representing MTC before a variety of groups, agencies, organizations, elected officials, and the public, requiring the ability to communicate effectively about technical topics with non-technical stakeholders; and performing other job related duties as required.

San Francisco, CA14 days ago

Design end-to-end policy development to pre-launch evaluation to post-launch monitoring workflows across safety-relevant domains, including golden set construction, labeling guidance, calibration, adjudication, and eval coverage analysis, to ensure policies can be reliably measured and improved. We work closely with Trust & Safety teams (product policy, product, engineering, data science, operations, red teaming), business and model teams, and cross-functional stakeholders (comms, legal, public policy) across global markets.

San Francisco, CA30+ days ago

For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse, and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss, or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. This role involves designing and developing drivers and functional models for a large array of HW components, writing high throughput and low latency firmware code, investigating bring-up and production issues.

San Francisco, CA16 days ago

Remote

$164,695–$339,078 Per Year

As a Senior Product Manager for Signal Lifecycle within Trust & Safety, you''ll own the product strategy for the ML platform that powers how Pinterest trains, evaluates, deploys, and measures content safety models at scale. What you''ll do: Own and drive the Signal Lifecycle product roadmap, including ML Flywheel infrastructure, auto-deployment, model onboarding, golden dataset management, and signal performance measurement.

San Francisco30+ days ago

Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments\u2014your work will directly shape the frontier of intelligent systems. Machine Learning Expertise: Ability to write and debug models in popular ML frameworks, and experience working with LLMs.

New!

San Francisco, CA3 days ago

End-to-end ownership: Youll ship models into production networks, collaborate with firmware and application teams sitting next to you, and rapidly iterate in the wild. Now, we're assembling a founding core engineering team to build and train models that understand these systems, optimize operations, anticipate failures, and repair issues before humans even notice them.

New!

San Francisco, CA3 days ago

$160,000–$230,000 Per Year

To make this possible, we don't just need great models; we need infrastructure that gives those models clean, versioned, low-latency access to the right data, across training, evaluation, and deployment. As described on Meter.ai, we're building models in a closed-loop system that takes (as input) real-time telemetry, logs, and events on the network to autonomously troubleshoot, improve performance, and resolve issues.

San Francisco30+ days ago

You may be a good fit for the Model Efficiency team if you have:5+ years of experience writing high-performance, production-quality codeStrong programming skills in C++ or Python (Rust/Go also welcome)Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.)Ability to diagnose and resolve performance bottlenecks across the model execution stackA strong bias for action - you ship fast, measure impact, and iterateIt's a big plus if you have experience with:GPU programming, CUDA, or low-level systems optimizationLanguage modeling with transformers (MoE, speculative decoding, KV-cache optimizations)Scaling performance-critical distributed systems (e.g., computation, search, storage)If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment ‍ Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend️ 6 weeks of vacation (30 working days!).

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.

San Francisco, CA14 days ago

This is a hands-on technical role that sits at the intersection of actuarial science and software engineering - you''ll be building production-grade rating tools that directly support our underwriters across all three divisions: Casualty, Professional Liability, and Healthcare Liability. Demonstrated experience designing, monitoring, and documenting statistical models with robust model drift detection, explainability, and end‑to‑end auditability suitable for regulated environments.

New!

San Francisco, CA3 days ago

In addition to your customers, network engineers, you'll partner closely with two research engineers who have deep ML backgrounds and a clear picture of what training data needs to look like. When a network engineer looks at a set of device stats and figures out it's upstream packet loss - not a hardware failure, not a misconfiguration, specifically upstream packet loss - that reasoning lives in their head.

San Francisco, CA11 days ago

$200,700–$250,900 Per Year

Ideal candidates may come from a traditional model validation background with deep hands-on experience testing modern AI/ML systems, or from model development, applied AI, or research as data scientists, with a strong understanding of how risks emerge in complex systems and how to rigorously challenge them as they scale into production. Comfort operating in ambiguity: capable of synthesizing fragmented technical, operational, and business context into a clear understanding of how complex models and AI systems actually work, and making sound judgments even without a complete playbook or perfect documentation.

New!

San Francisco, CA3 days ago

$305,000–$460,000 Per Year

As a Product Manager on Claude Code''s model performance team, you will drive model launches end-to-end, build evals that measure what matters, and partner directly with researchers and product engineers to translate model improvements into developer-facing outcomes. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

San Francisco30+ days ago

We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency.

San Francisco30+ days ago

Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment ‍ Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend️ 6 weeks of vacation (30 working days!). You may be a good fit for the model efficiency team if you:Have a PhD in Machine Learning or a related fieldUnderstand LLM architecture, and how to optimize LLM inference given resource constraintsHave significant experience with one or more techniques that enhance model efficiencyStrong software engineering skillsAn appetite to work in a fast-paced high-ambiguity start-up environmentPublications at top-tier conferences and venues (ICLR, ACL, NeurIPS)Passion to mentor othersIf some of the above doesn't line up perfectly with your experience, we still encourage you to apply!

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.

san francisco, CA30+ days ago

San Francisco30+ days ago

RESPONSIBILITIES:Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal servingProfile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setupsProductionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance servingBuild comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurationsProductionize performance improvements across runtimes (e.g. NICE TO HAVE:Experience with LLM runtimes (vLLM, SGLang, TensorRT‑LLM) or contributions to open-source inference engines (vLLM, TensorRT-LLM, SGLang, TGI)Knowledge of Kubernetes, service meshes, API gateways, or distributed scheduling.

San Francisco, CA30+ days ago

$81,000–$356,000 Per Year

You will provide technical leadership to influence senior engineers and researchers across ML infra and data teams, raising the technical bar for how Waymo trains, evaluates, and deploys LLM models in the autonomous driving technical stack. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The Worlds Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes.

San Francisco, CA30+ days ago

Our Research Engineers are core members of the science team, contributing to architectural design while ensuring our models scale to the next order of magnitude. Since its release, we've scaled model capabilities more than 20x, reached 2.5M+ downloads, 5,500+ GitHub stars, and are seeing accelerating adoption across research and industry.

San Francisco, CA12 days ago

$107,000–$194,000 Per Year

As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes.

San Francisco, CA30+ days ago

Machine Learning Engineer - Model Evaluations, Public SectorThe Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

San Francisco30+ days ago

Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we're trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. This role is highly technical and hands-on: you'll own key components of our training stack, collaborate with product and infra teams to surface customer needs, and push forward the state of the art in scalable training infrastructure.

San Francisco, CA30+ days ago

$238,000–$302,000 Per Year

You will: • Lead the multi-task fine-tuning of multi-billion parameter models, and its release to production • Lead the design and implementation of ML methods for distilling multiple expert models into one multi-task model • Managed releases of multi-billion parameter models replacing a deployed model used by thousands or millions of customers • Build resilient and high performing teams through people development and hiring • Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution • Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to: • Develop methods for efficiently and continuously learning from large scale real-world data, • Develop models and model training at scale, • Analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, • Optimize models for our onboard and offboard hardware.

San Francisco, CA30+ days ago

While this is not strictly a production engineering role, you will need to be able to prototype and debug systems at scale and quickly understand the various components that go into answer generation. Weve seen excellent candidates who have a background in philosophy, psychology, linguistics, data science, or related fields.

San Francisco, CA11 days ago

$194,800–$282,100 Per Year

Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

New!

San Francisco, CA5 days ago

Luma already trains the strongest generative video models in the industry; the next step is turning those models into world models - interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. Invent next-generation world model architectures - diffusion, transformer, autoregressive, or hybrid - with a particular focus on controllability and physical consistency.

San Francisco, CA30+ days ago

Design and build eval systems that measure model capabilities across diverse coding tasks Build tooling and infrastructure that enables researchers to run experiments at scale Develop pipelines for data collection, processing, and analysis Create internal tools that improve researcher productivity and accelerate iteration cycles Serve as a bridge between product and research-bring strong product intuition to inform which capabilities matter most Work closely with researchers to translate research questions into engineering solutions Own systems end-to-end-from design through production reliability. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

San Francisco, CA30+ days ago

$148,500–$266,200 Per Year

BS/MS in CS/Engineering or equivalent experience • Experience building and operating software systems, including production ML systems • People leadership experience, or strong technical leadership experience (mentoring, setting direction, driving delivery) • Experience with cloud infrastructure and production observability (AWS, Azure, or GCP) • Experience with CI/CD, reproducible deployments, and operating services in production • Strong written communication and documentation skills. As a Machine Learning Engineering Manager on the Model Delivery team within Autodesk Research, you will lead production ML engineering across deployment, monitoring, evaluation, reliability, and operational excellence for ML-powered features.

San Francisco, California7 days ago

A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment. In this role, you’ll own a defined product area within our Frontier Models & Spatial Intelligence initiative, driving outcomes that help customers identify design risk earlier, improve constructability, and reduce costly rework.

New!

San Francisco, CA3 days ago

$125,000–$145,000 Per Year

Were looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. Working with internal teams to understand project needs, drafting technical specifications, and supporting the business development team on the technical aspects of proposals related to grid integration.

San Francisco, CA14 days ago

Youll work closely with researchers, designers, engineers, and ML teams to make sure our voice isnt just documented but actually embedded: in training data, in prompts, in the model itself. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output.

San Francisco, CA30+ days ago

If you provide content to customers through CloudFront you can find steps to troubleshoot and help prevent this error by reviewing the CloudFront documentation. Generated by cloudfront CloudFront Request ID Y1RHB54zkHQqI2Ai8A2R5A-3QgnqsMWQAyfg_Li21pYWHw86Fo0oKA.

Oakland, CA7 days ago

$116,000–$138,000

The role carries principal investigator accountability on grant-funded projects, supervisory responsibility for staff across career levels, and active contribution to fundraising and external engagement, working collaboratively across PSE's multidisciplinary staff. The ideal candidate can manage research, develop actionable products and tools, present findings to communities and regulatory agencies, and help shape new growth opportunities, while bringing the same intentionality and care to developing people as they do to advancing science.

New!

Berkeley, CA6 days ago

Full-time

Ability to develop and implement robust account plans; significant knowledge and understanding of business strategy and the ability to work collaboratively and influence others internally and externally at the director level is required. This account management role requires the ability to develop strong relationships with a variety of buying personas to both protect existing business and identify new opportunities among existing clients.

Resume Resources

Free Resume Templates Free Resume Builder

Get noticed by top employers!

Upload your resume to let employers know you're open to Model job opportunities. Plus, receive relevant job recommendations in your inbox.

Create A Free Account

Model Jobs in Lakeville, CA

(IT PSP) Data Modeling Axelon Services Corporation

(IT PSP) Data Modeling Axelon

Senior Quantitative Researcher - Risk Modeling Swish Analytics

Senior Robotics SWE, System Identification & Modeling Nimble Robotics Inc

Quantitative Model Validation Analyst U.S. Bancorp

Principal Modeler - Model Development American Water Resources Association

Technical AI Policy Researcher, Model Behaviour - Trust and Safety TikTok Inc

ASIC Firmware Engineer, Modeling OpenAI LLC

Staff Product Manager, Model Lifecycle & Management Pinterest Inc

Member of Technical Staff - ML Research Engineer, Foundation Model Data Liquid AI Inc

Model Engineer - Member of Technical Staff Meter, Inc.

Backend Engineer, Models Meter, Inc.

Member of Technical Staff, Model Efficiency Cohere

Staff Software Engineer, Model LifeCycle Crusoe Energy Systems LLC

Head of Model Development and Technology Bowhead Insurance Company Inc

Software Engineer, Models Meter, Inc.

Senior Model Risk Manager - AI/ML Mercury Technologies Inc

Product Manager, Claude Code Model Performance Anthropic PBC

Senior Research Scientist, Model Evaluation Cohere

Staff Research Engineer, Model Efficiency Cohere

Staff Engineer, Model Serving Databricks Inc

Senior Engineer, Model Serving Databricks Inc

Software Engineer - Model API''s Baseten Labs Inc

Senior Staff Software Engineer, Model Post Training Waymo LLC

ML Engineer, Foundation Model Prior Labs GmbH

Hybrid Wholesaler - Model Portfolio Distribution T. Rowe Price Group Inc

Machine Learning Engineer - Model Evaluations, Public Sector Scale AI Inc

Senior Software Engineer - Model Training Baseten Labs Inc

Staff TLM, Perception, Fine-Tuning & Model Releases Waymo LLC

Model Behavior Architect Perplexity AI Inc

Principal Product Manager, Consumer Models ADOBE Inc

Research Scientist - World Model Luma AI Inc

Model Quality Software Engineer, Claude Code Anthropic PBC

Machine Learning Engineering Manager, Model Delivery Autodesk Inc

Senior Product Manager -Frontier Models (Datagrid) Procore

Engineer, Load Integration & Model Development Crusoe Energy Systems LLC

Staff Content Designer, Model UX Abridge AI Inc

Senior Product Manager, Business Model Strategy ADOBE Inc

Senior Scientist: Air Quality Modeling PSE Healthy Energy

Sr. Strategic Account Manager - Preclinical Models (Berkeley, CA) Taconic Biosciences, Inc.

Resume Resources

Similar Job Searches