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Ai Residency Program Jobs in California (NOW HIRING)

AI Residency

San Carlos, CA · On-site

$10K/mo

About the Program The AI Residency is a fixed-term position (3-6 months) for researchers and engineers who want to work on high-impact AI and robotics problems alongside full-time 1X team members.

AI Resident

Milpitas, CA · On-site

$10K/mo

The AI Residency Program The AI Residency Program is designed for exceptional early-career researchers and engineers who want to tackle some of the hardest problems in robotics and AI. Residents will ...

The AI Residency Program The AI Residency Program is designed for exceptional early-career researchers and engineers who want to tackle some of the hardest problems in robotics and AI. Residents will ...

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. The role involves rotating across various aspects of AI infrastructure, working on real ...

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. The role involves rotating across various domains such as inference and training, working ...

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

About The Role RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. You'll rotate across inference, training, kernels, compilers, and cluster ...

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

About The Role RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. You'll rotate across inference, training, kernels, compilers, and cluster ...

Residency Manager

Emeryville, CA · On-site

$150K - $225K/yr

Our Residency is a fully funded, 12-18 month program that supports extraordinary technologists and ... AI-enabled life sciences, and open science. Astera is uniquely positioned because of a $3B ...

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Showing results 1-20

Ai Residency Program information

See California salary details

$24.7K

$89.4K

$116K

How much do ai residency program jobs pay per year?

As of Aug 3, 2026, the average yearly pay for ai residency program in California is $89,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $115,000.00 per year, depending on experience, location, and employer.

What is an AI Residency Program?

An AI Residency Program is a structured, typically year-long opportunity designed for individuals interested in gaining hands-on experience and mentorship in artificial intelligence research and development. These programs are often hosted by tech companies or research institutions and pair residents with leading AI researchers to work on cutting-edge projects. Residents participate in seminars, collaborate on publications, and often contribute to real-world AI applications. The goal is to bridge the gap between academia and industry, providing residents with the practical skills and knowledge needed for a career in AI.

What are the key skills and qualifications needed to thrive as an AI Residency Program participant, and why are they important?

To excel in an AI Residency Program, you typically need a strong background in computer science, mathematics, and machine learning, often demonstrated by an advanced degree or relevant research experience. Proficiency with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help residents contribute to collaborative research and complex projects. These qualifications are crucial for driving innovation, conducting impactful research, and successfully transitioning to advanced AI roles.

What types of projects do participants typically work on during an AI Residency Program?

AI Residency Programs usually immerse participants in real-world, cutting-edge machine learning and artificial intelligence projects, often in collaboration with experienced researchers and engineers. Projects may include developing novel algorithms, improving existing models, or applying AI techniques to solve industry-specific problems such as natural language processing, computer vision, or robotics. Residents often work in small teams, participate in regular research meetings, and are encouraged to publish their results or contribute to open-source initiatives. This hands-on experience not only sharpens technical skills but also provides valuable exposure to collaborative research environments.
What job categories do people searching Ai Residency Program jobs in California look for? The top searched job categories for Ai Residency Program jobs in California are:
What cities in California are hiring for Ai Residency Program jobs? Cities in California with the most Ai Residency Program job openings:
Infographic showing various Ai Residency Program job openings in California as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $89,370 per year, or $43 per hour.

$10K/mo

Temporary

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

About 1X
We're building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it's not.
To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you're inspired by this, you'll thrive here. We've been at this since 2014 and we're at the point where the hard problems are behind us and the hard work is in front of us.
NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We're not demoing it - we're shipping it. We're excited to meet you, if this excites you.
If you've spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We're scaling, we're hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.
About the Program
The AI Residency is a fixed-term position (3-6 months) for researchers and engineers who want to work on high-impact AI and robotics problems alongside full-time 1X team members. Residents work on real projects-simulation infrastructure, data management, model evaluation, and capability deployment-that ship to production robots in the field. This is not an internship where you build toy demos: you will contribute meaningfully to the systems that make NEO smarter, and your work will reach hardware in homes and warehouses.
Your Charter
Accelerate 1X's AI development by applying cutting-edge research to real product problems, whether that means building evaluation infrastructure, scaling data pipelines, improving the data engine, or deploying new capabilities to robots at customer sites. Residents are embedded in the team and treated as full contributors: you will own projects, ship code, and have direct impact on deployed robotic systems within your residency term.
Key Outcomes
  • Apply research-level ideas to production impact translating techniques from the AI and robotics literature into capabilities or infrastructure that ships on real robots
  • Build or meaningfully improve components of the data engine: front-end tooling for log review and labeling, back-end systems for data cleaning, and evaluation benchmarks for open-source models on robotics tasks
  • Scale solutions using fleet data contributing to pipelines and systems that improve with more robot experience, not just more hand-labeled data
  • Deploy at least one new capability or infrastructure improvement to robots at customer sites before the residency term ends

Key Competencies
  • Fast, independent learner picking up new codebases, tools, and problem domains quickly; identifies the highest-leverage contribution and starts making progress without waiting for a detailed spec
  • Research meets engineering reading a paper and implementing its key ideas, but also writes tested, maintainable code that others can build on; comfortable in both modes
  • Prototype-to-production instinct moving quickly from idea to working prototype, then cares enough about quality to bring it the rest of the way to something deployable
  • Collaborative contributor working effectively alongside full-time engineers and researchers, communicates progress and blockers clearly, and contributes to the team's velocity as well as their own projects

Minimum Requirements
  • Bachelor's degree in Computer Science or equivalent; graduate students in ML or robotics strongly preferred
  • Proficiency with large Python codebases, experience writing tests, and familiarity with deep learning frameworks (PyTorch, TensorFlow, or JAX)
  • Demonstrated ability to prototype ideas independently and rapidly-a portfolio of projects, research, or open-source work is a strong signal
  • Experience training large-scale ML models (visual foundation models, LLMs, generative models) or publishing at top ML conferences

Preferred Skills
  • Experience with systems programming and scalable data infrastructure
  • Familiarity with robotics simulation platforms (Isaac Sim, MuJoCo) or robot middleware (ROS)
  • Prior research or engineering experience at the intersection of AI and physical systems

Benefits & Compensation
  • $10,000 per month
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays

Equal Opportunity Employer
1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.