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Machine Learning Research Intern Jobs in Berkeley, CA

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 ...

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 ...

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 ...

Bland

Machine Learning Researcher, Audio

San Francisco, CA · On-site

$140K - $250K/yr

Machine Learning Researcher, Audio Location: San Francisco, CA or Remote About Bland At Bland.com ... This is not a narrow research role. You will take ideas from theory to large-scale training to ...

Kiddom

Machine Learning Researcher

San Francisco, CA · On-site

$140 - $210/hr

As a Machine Learning Researcher, you will play a pivotal role in pushing the boundaries of what ... Interest or experience in authoring research papers or white papers Why Join Us * Make a Tangible ...

Multicoin

Machine Learning Researcher

San Francisco, CA · On-site

$250 - $350/hr

If you love training models, exploring new architectures, running experiments, and turning research ... Your work will span from exploring new architectures and learning methods to optimizing latency and ...

Droyd

Machine Learning Researcher

San Francisco, CA · On-site

They are seeking an AI Researcher to own parts of the learning and inference stack for their ... research directions that improve speed, reliability, or capability • Develop fine-tuning and ...

Inference

Machine Learning Researcher

San Francisco, CA · On-site

$250K - $350K/yr

If you love training models, exploring new architectures, running experiments, and turning research ... Your work will span from exploring new architectures and learning methods to optimizing latency and ...

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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 Sep 4, 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 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.

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 are popular job titles related to Machine Learning Research Intern jobs in Berkeley, CA?

For Machine Learning Research Intern jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Intern jobs in Berkeley, CA look for?

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Cities near Berkeley, CA with the most Machine Learning Research Intern job openings:

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 Researcher

jobs.frontdoordefense.com - Jobboard

San Francisco, CA • On-site

$189 - $260/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Key responsibilities

  • Develop and refine AI models for deep learning applications.

  • Collaborate with colleagues to benchmark and optimize ML workloads on GPU platforms.

  • Manage and execute model training at scale, including conducting experiments and overseeing high-cost runs.

Job description

Machine Learning Researcher

Location: San Francisco Bay Area

Compensation: $189,000 – 260,000 USD / year

Job Tags: Software

Develop and refine cutting-edge AI models for the world's best deep learning cloud. About The Role

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in one of our San Francisco Bay Area office locations (Currently San Jose, expanding to Peninsula/SF) 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do
  • You will work on developing and refining AI models. Publishing research outcomes in the form of dataset, model, demo apps and publications.
  • You will also collaborate with colleagues across the organization to benchmark and optimize ML workloads on our GPU platforms.
  • The ideal candidate will possess a solid research background with experience in generative models.
You
  • Demonstrate a proven track record of enhancing existing machine learning methodologies, evidenced by significant achievements such as first author publications or notable projects.
  • Manage and advance a research agenda, including selecting meaningful research problems and independently conducting long-term projects.
  • Execute model training at scale, either by managing multiple experiments concurrently or overseeing critical high-cost runs to ensure optimal performance.
Nice to Have
  • Experience in MLOps within a collaborative environment.
  • Experience in training large models using distributed systems.
  • Experience in creating high-performance implementations of deep learning algorithms.
Salary Range Information

Based on market data and other factors, the salary range for this position is $189,000 – 260,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda
  • We offer generous cash & equity compensation
  • Investors include Gradient Ventures, Google’s AI-focused venture fund
  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • We have a wildly talented team of 300, and growing fast
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends for select roles
  • 401k Plan with 2% company match
  • Flexible Paid Time Off Plan that we all actually use
A Final Note

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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