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Research Assistant Machine Learning Jobs in Berkeley, CA

Lyft

Machine Learning Engineer

San Francisco, CA · On-site

Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions * Design and implement feature pipelines ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine ... Design and implement novel machine learning and deep learning models tailored to internal research ...

Bland

Machine Learning Intern

San Francisco, CA · On-site

Machine Learning Research Intern, Audio As a Research Intern at Bland, you will own a focused research project across our voice stack: speech-to-text, large language models, neural audio codecs, or ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

You will work closely with other researchers and engineers to empower our next generation of domain ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

You will work closely with other researchers and engineers to empower our next generation of domain ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

Human Archive

Machine Learning Engineer

San Francisco, CA · On-site

$100K - $150K/yr

Research into human physical intelligence - including the human hand, proprioception, and vision ... The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

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Research Assistant Machine Learning information

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How much do research assistant machine learning jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for research assistant machine learning in Berkeley, CA is $26.83, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $31.20 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

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

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

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

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

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

The top searched job categories for Research Assistant Machine Learning jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Research Assistant Machine Learning jobs?

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

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Berkeley, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 25% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $55,799 per year, or $26.8 per hour.

Machine Learning Engineer

San Francisco, CA • On-site

Lyft
Ground Public Transportation • 5 - 10K employees
Learn more about Lyftexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Lyft rating

7.3

Company rating: 7.3 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.
The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion.
We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science.
Responsibilities:
  • Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions
  • Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
  • Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement
  • Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals
  • Leverage data-driven insights to inform and refine ML strategies and solutions
  • Write production-level code and participate in code reviews to ensure quality and share knowledge across the team
Experience:
  • BS/MS in Computer Science, or a related field
  • 2+ years of experience in machine learning modeling or related fields
  • Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
  • Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
  • Experience with translating state-of-the-art ML research into production systems
  • Proficiency in Python, Golang, or other programming language
  • Proven ability to tackle ambiguous problems and deliver solutions at scale
  • Strong communication and interpersonal skills for effective cross-functional collaboration
Benefits:
  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the San Francisco area is $140,800 - $176,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

What Lyft employees say

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About Lyft

Sourced by ZipRecruiter

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Industry

Ground public transportation

Company size

5,001 - 10,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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