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Associate Machine Learning Government Jobs in California

Intuitive

Senior Machine Learning Engineer

Sunnyvale, CA

$143K - $189K/yr

As a machine learning engineer on the Ion project, you will join a small team of experts in medical ... Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or ...

Intuitive

Senior Machine Learning Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

As a machine learning engineer on the Ion project, you will join a small team of experts in medical ... Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... Design and implement scalable, production-quality systems that incorporate machine learning and ...

Amgen

Sr Machine Learning Scientist

Thousand Oaks, CA · On-site

$96K - $131K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen ... and 4 years ofmachine learningexperience OR Associate's degree and 8 years ...

Capital Group

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... Design and implement scalable, production-quality systems that incorporate machine learning and ...

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

We believe that belonging leads to better outcomes and a stronger community of associates united by ... Design and implement scalable, production-quality systems that incorporate machine learning and ...

Walmart

Staff, Machine Learning Engineer

Sunnyvale, CA · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to ...

Amgen

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$128K - $169K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this ... Associate's degree and 8 years of Computer Science experience OR High school diploma / GED and 10 ...

Amgen, Inc.

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$109K - $150K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this ... Associate's degree and 8 years of Computer Science experience OR High school diploma / GED and 10 ...

Hum AI

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Senior Machine Learning Engineer Location: San Francisco About Hum.ai Hum.ai is building planetary ... removal, and government to protect and positively impact our increasingly changing world. Our ...

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All JobsAssociate Machine Learning Government JobsAssociate Machine Learning Government Jobs in California

Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are the most commonly searched types of Machine Learning Government jobs in California? The most popular types of Machine Learning Government jobs in California are:
What are popular job titles related to Associate Machine Learning Government jobs in California? For Associate Machine Learning Government jobs in California, the most frequently searched job titles are:
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Associate Machine Learning Government jobs near you

Machine Learning: Multimodal Foundation Models

The Bot Company

San Francisco, CA • On-site

$200K - $350K/yr

Full-time

Re-posted 17 days ago

Job description

The Bot Company
We're building a helpful robot for every home.
We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.
Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.
What we look for in all candidates
All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:
  • Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.
  • Engineering curiosity: you naturally dig into how systems work, even outside your specialty.
  • High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.
Machine Learning: Multimodal Foundation Models
We are building unified foundation models that natively reason across text, image, video, and kinematics to drive intelligent robotic policies.
You will work on large multi-modal networks and own the entire stack from data to training and deploying models.
What You'll Do
  • Build Native Multimodal Policies: Develop architectures where vision, language, and more modalities share a unified representation.
  • Improve Cross-Modal Reasoning: Research and implement methods to ensure the model doesn't just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints).
  • Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments; diagnosing failure modes, improving data mixtures, and tightening evaluation to drive measurable gains.
  • Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.
Requirements
  • Very strong coding skills in Python, C++, or Rust.
  • Production MLLM Experience: Track record of training and deploying large-scale multimodal models.
  • Pretraining & RL Mastery: Deep intuition for LLM-style pretraining, post-training, and Reinforcement Learning at scale.
  • Infrastructure Fluency: Comfortable managing and optimizing large-scale experiments on massive GPU clusters.

Why Join
You'll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you'll thrive here.

Apply