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Machine Learning Research Intern Jobs in Berkeley, CA

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or ... Experience with deep learning research and tools. * Proficiency in software design and development ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or ... Experience with deep learning research and tools. * Proficiency in software design and development ...

pony.ai

Research Intern - Deep Learning

Fremont, CA

$7.0K - $10K/mo

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or ... Experience with deep learning research and tools. * Proficiency in software design and development ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

MSCI

Machine Learning Researcher

San Francisco, CA

$144K - $187K/yr

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

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Showing results 21-40

All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Berkeley, CA

Machine Learning Research Intern information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

How much do machine learning research intern jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning research intern in Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
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Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $52,141 per year, or $25.1 per hour.

Machine Learning Research Engineer/Scientist

Sunday Inc

Redwood City, CA • On-site

Full-time

Re-posted 17 days ago

Job description

Join Us in Building the Future of Home Robotics
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you.
What to Expect
In building robots for the home, we are tackling a true grand challenge in robotics: dexterous and safe mobile manipulation in unstructured environments. To make this possible, we are building across the entire robotics stack. We're training state-of-the-art AI models that leverage our large-scale, high-quality, real-world data collection system. At the same time, we're building a new kind of consumer hardware product, which will be deployed into homes and delivering real value for real customers. As an early member of a small, cross-functional team, you'll play a key role in pushing both our technology and product forward: advancing the frontier of embodied AI, and soon giving countless hours back to our customers so they can spend more time on the things they value most.
As a Machine Learning Research Engineer, you will work on the software and algorithms that enable our robots to complete dexterous manipulation tasks in home environments. You will leverage our unique large-scale in-the-wild data collection operation and our growing robot fleet to continuously add new behaviors and improve robustness across tasks and environments.
What You'll Do
  • Design and develop state-of-the-art robot learning algorithms for manipulation and controls
  • Leverage large-scale in-the-wild data collection to develop generalizable robot behaviors
  • Own the end-to-end loop from task definition and data curation to model training, evaluation, and on-robot deployment
  • Collaborate closely with a full-stack robotics team to develop a consumer personal robot
  • Write maintainable, production quality code for research and deployment

What You'll Bring
  • 3+ years (or equivalent) working on machine learning for robotics, controls, or perception
  • Proficiency with Python and any deep learning framework (PyTorch preferred)
  • Hands-on experience with robot learning for real-world tasks, including offline/online training and evaluation
  • Implement tooling for visualization, debugging, and evaluation of data and learning pipelines
  • Communicates clearly and collaborates effectively, thriving in fast-moving, cross-functional teams

Nice to Have
  • Familiarity with classical robotics fundamentals (e.g. controls, planning, state estimation)
  • Comfortable profiling and optimizing for latency, memory, and compute on edge devices
  • Experience with large-scale model training pipelines (LLM/VLM/VLA)

At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.

Apply