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Machine Learning Research Intern Jobs in Berkeley, CA

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 ...

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 ...

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 is establishing a Machine Learning Center of Excellence within the Research & Development team to develop machine learning models that power investment tools for institutional clients. We are ...

To that end, there are three major components with which an intern should expect to engage ... research and exploration, development, deployment, support Using correct model selection and ...

Showing results 21-40

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?

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

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

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

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.

Director of COE for Machine Learning Research

MSCI

San Francisco, CA • On-site

$195K - $254K/yr

Full-time

Posted 21 days ago


Job description

Your Team Responsibilities
MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team to develop machine learning models that power investment tools for institutional clients. We seek an Executive Director to lead research applying advanced machine learning techniques including deep learning and reinforcement learning to systematic strategies, portfolio construction, and valuation models.
Your Key Responsibilities
  • Lead a team conducting 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 text, documents, and client telemetry into investment insights
  • Deliver research powering new products across MSCI's product lines
  • Build and mentor a team of PhD-level machine learning researchers
  • Engage directly with clients to understand systematic investment challenges
  • Contribute to thought leadership through research innovation and publishing
  • Collaborate with product, technology, and sales teams

Your skills and experience that will help you excel
  • PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related quantitative field from a top institution
  • Strong foundation in quantitative finance
  • Expert programming skills
  • Publication record in machine learning or quantitative finance (preferred)
  • Ability to communicate complex ideas clearly to technical and business stakeholders
  • Experience building and mentoring technical teams

About MSCI
What we offer you
  • Salary range: $195,000 - $254,000 / year plus eligible for annual bonus
  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.
MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.
MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.
To all recruitment agencies
MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.
Note on recruitment scams
We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

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About MSCI

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1969

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