ZipRecruiter

Log In

1

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

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Skill leveraging Claude Code, Codex, or other coding agents * BS/MS/PhD in Computer Science or a ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

PhD in computer science, machine learning, computational neuroscience, or related fields (or equivalent industry experience). * Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and ...

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 ...

MSCI

Machine Learning Research Director

San Francisco, CA · On-site

$195 - $254/hr

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 ...

MSCI

Machine Learning Research Director

San Francisco, CA · On-site

$195K - $254K/yr

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 ...

MSCI

Machine Learning Research Director

San Francisco, CA · On-site

$195K - $254K/yr

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 ...

next page

Showing results 1-20

All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in Berkeley, CA

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:
Phd Machine Learning jobs near you
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 Engineer

Intelliswift Software

South San Francisco, CA • On-site

Full-time

Re-posted 13 days ago

Job description

Job ID: 21-13833
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote
Intelliswift logo

About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001

View All Intelliswift Jobs

Apply