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Phd Machine Learning Jobs in Berkeley, CA (NOW HIRING)

A PhD is strongly encouraged, but If you have exceptional applied experience and can do the work well and humbly, we want to talk * Expertise in the theory and practice of building deep neural ...

Must haves: * PhD or equivalent research experience with an AI emphasis and in a relevant ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

Must haves: * PhD or equivalent research experience with an AI emphasis and in a relevant ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Conduct research using machine learning methodologies that integrate financial theory with deep ... PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related ...

Conduct research using machine learning methodologies that integrate financial theory with deep ... PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related ...

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team ... PhD in Computer Science, Statistics, Mathematics, Physics, Operations Research, or related ...

PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field * Experience with ...

Showing results 21-40

Phd Machine Learning information

See Berkeley, CA salary details

$17

$27

$37

How much do phd machine learning jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for phd machine learning in Berkeley, CA is $27.94, according to ZipRecruiter salary data. Most workers in this role earn between $24.13 and $31.20 per hour, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

What cities near Berkeley, CA are hiring for Phd Machine Learning jobs? Cities near Berkeley, CA with the most Phd Machine Learning job openings:
Infographic showing various Phd Machine Learning job openings in Berkeley, CA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $58,122 per year, or $27.9 per hour.

Machine Learning Research Director

MSCI

San Francisco, CA

$195K - $254K/yr

Full-time

Posted 8 days ago


Job description

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.


  • 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

  • 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

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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