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

Solomon Page

Manager Data Engineer

San Francisco, CA · On-site

$90/hr

Experience with machine learning pipelines and AI-driven data solutions * Certifications in Big ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Jobs for Humanity

Speakers/Writers

Fremont, CA

$15 - $60/hr

Interest in AI and machine learning concepts. Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates ...

Hive

PR & Communications Lead

San Francisco, CA · On-site

$33K - $34K/yr

Experience working with or managing PR agencies or freelancers * Familiarity with AI, machine learning, or other emerging technologies * Background in crisis communications or issues management

Hive

PR & Communications Lead

San Francisco, CA · On-site

$33K - $34K/yr

Experience working with or managing PR agencies or freelancers * Familiarity with AI, machine learning, or other emerging technologies * Background in crisis communications or issues management

All JobsMachine Learning JobsFreelance Machine Learning JobsFreelance Machine Learning Jobs in Berkeley, CA

Freelance Machine Learning information

See Berkeley, CA salary details

$18

$58

$161

How much do freelance machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for freelance machine learning in Berkeley, CA is $58.41, according to ZipRecruiter salary data. Most workers in this role earn between $29.71 and $75.62 per hour, depending on experience, location, and employer.

What is a freelance machine learning?

A Freelance Machine Learning job involves working independently on machine learning projects for various clients instead of being employed by a single company. Freelancers may develop models, analyze data, fine-tune algorithms, or deploy AI solutions based on client needs. They often find work through freelance platforms, networking, or direct client outreach. This role offers flexibility in workload, project selection, and work location, but it also requires self-marketing and project management skills.

What are the key skills and qualifications needed to thrive in freelance machine learning?

To thrive as a Freelance Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially in Python or R), and experience with machine learning algorithms. Proficiency in tools like TensorFlow, PyTorch, scikit-learn, and often cloud platforms such as AWS or Google Cloud is highly valuable, and certifications in data science or machine learning can enhance your credibility. Strong communication skills, self-motivation, and the ability to manage time and client relationships independently help you excel in a freelance setting. These abilities ensure you can deliver effective solutions, secure repeat clients, and adapt quickly to various project requirements in a competitive market.

What are common challenges faced by freelance machine learning professionals and how can they be managed?

Freelance Machine Learning professionals often face challenges such as managing multiple projects with varying requirements, keeping up with rapidly evolving technologies, and clarifying expectations with diverse clients. Effective time management, strong communication to set clear deliverables, and continual learning are key strategies to overcome these obstacles. Building a broad professional network and maintaining a strong online portfolio also help freelancers attract and retain clients. Staying organized and routinely updating technical skills can turn these challenges into opportunities for professional growth and success.

Can I do freelancing with machine learning?

Yes, machine learning professionals can work as freelancers by offering services such as data analysis, model development, and consulting. Successful freelancing in this field typically requires strong skills in programming, data handling, and familiarity with tools like Python, TensorFlow, or scikit-learn, along with a portfolio to attract clients.

What are the most commonly searched types of Machine Learning jobs in Berkeley, CA?

The most popular types of Machine Learning jobs in Berkeley, CA are:

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

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

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

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

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

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

Freelance Machine Learning jobs near you
Infographic showing various Freelance Machine Learning job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $121,501 per year, or $58.4 per hour.

Machine Learning Engineer, Core Engineering (San Francisco)

Pinterest

San Francisco, CA • On-site

$267K/yr

Full-time

Re-posted 12 days ago

Job description

Machine Learning Engineer, Core Engineering

Join to apply for the Machine Learning Engineer, Core Engineering role at Pinterest

Machine Learning Engineer, Core Engineering

Join to apply for the Machine Learning Engineer, Core Engineering role at Pinterest

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About Pinterest
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

About Pinterest
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
What You’ll Do

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems
What We’re Looking For
  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Nice to have:
    • M.S. or PhD in Machine Learning or related areas
    • Publications at top ML conferences
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$129,818—$267,272 USD
Our Commitment To Inclusion
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesTechnology, Information and Internet, Software Development, and IT Services and IT Consulting

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