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Deep Learning Freelance Jobs in California (NOW HIRING)

Hedra

Senior Video Producer

San Francisco, CA · On-site

... deep-dives, and product narratives. * Source, contract, and manage the freelance bench of video ... Vision & Learning Lab, jointly advised by Fei-Fei Li and Jiajun Wu. He is co-first author on ...

Entropico

People & Culture Manager

Los Angeles, CA · On-site

Work with the Head of P&C to manage Learning and Development budgets with teams, ensuring tracking ... Deep understanding of agency and commercial production workflows and relevant labor laws ...

Solomon Page

Manager Data Engineer

San Francisco, CA · On-site

$90/hr

We're looking for a Manager, Data Engineering with deep Big Data expertise to design, develop, and ... Experience with machine learning pipelines and AI-driven data solutions * Certifications in Big ...

Pearl West

Performance Creative Strategist

Los Angeles, CA · On-site +1

$120K - $180K/yr

Build repeatable systems for producing and learning from creative at scale * Maintain a strong ... Weeks 1-2: deep research across customers, account history, and competitors * Day 30: first batch ...

twentysix

Content Strategy Director

San Francisco, CA · On-site

$8.99/hr

In this role, the Freelance Content Strategy Director will lead end-to-end content experience ... Deep affinity for the end user, with empathy that translates into usable, valuable content ...

Handshake

Staff Product Designer

San Francisco, CA · On-site

$190K - $240K/yr

From freelance AI training gigs to first internships to full-time careers, Handshake is where ... Deep visual and interaction design expertise, with a proven track record of shipping high-quality ...

Aquent

Photo Production Equipment Lead

Los Angeles, CA · On-site

$42 - $46.67/hr

... of ~30 freelancers and staff (Grips, Gaffers, Stagehands, Camera Operators, and Setup Staff ... Deep, hands-on knowledge of grip, rigging, and lighting gear, with safety as an absolute priority.

Menlo Ventures

Growth Marketing Manager

San Francisco, CA · On-site

$139 - $163/hr

Deep understanding of technical SEO fundamentals, including crawlability, indexing, site ... Experience managing agencies or freelance content partners. Benefits * Compensation - Competitive ...

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$14

$47

$130

How much do deep learning freelance jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for deep learning freelance in California is $47.08, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $60.96 per hour, depending on experience, location, and employer.

What is a deep learning freelancer?

A Deep Learning Freelancer is an independent professional who specializes in developing and implementing deep learning models for various clients or organizations on a project basis. They use neural networks and advanced machine learning techniques to solve problems such as image recognition, natural language processing, and predictive analytics. Deep Learning Freelancers often work remotely and collaborate with clients from diverse industries, offering expertise in model development, data preprocessing, and deployment. Their responsibilities may also include consulting on AI strategies and optimizing existing deep learning solutions.

What are the key skills and qualifications needed to thrive as a deep learning freelancer?

To thrive as a Deep Learning Freelancer, you need strong programming skills (especially in Python), a deep understanding of neural network architectures, and a solid background in mathematics and machine learning, usually supported by relevant degrees or certifications. Familiarity with frameworks like TensorFlow, PyTorch, and Keras, along with experience using cloud platforms such as AWS or Google Cloud, is typically expected. Excellent problem-solving, self-management, and client communication skills distinguish top freelancers in this field. These skills are vital for delivering effective AI solutions, meeting client expectations, and staying competitive in a rapidly evolving market.

What are some common challenges faced by deep learning freelancers when managing multiple projects simultaneously?

Deep learning freelancers often juggle several projects at once, each with unique data requirements, timelines, and client expectations. A key challenge is efficiently allocating time and computational resources while ensuring high-quality model development for each client. Effective communication is crucial to manage deliverables and clarify technical constraints, especially when working remotely with teams from different domains. Prioritizing tasks and setting realistic milestones can help freelancers maintain productivity and client satisfaction.

What are the most commonly searched types of Deep Learning jobs in California?

The most popular types of Deep Learning jobs in California are:

What are popular job titles related to Deep Learning Freelance jobs in California?

For Deep Learning Freelance jobs in California, the most frequently searched job titles are:

What job categories do people searching Deep Learning Freelance jobs in California look for?

The top searched job categories for Deep Learning Freelance jobs in California are:

What cities in California are hiring for Deep Learning Freelance jobs?

Cities in California with the most Deep Learning Freelance job openings:

Deep Learning Freelance jobs near you
Infographic showing various Deep Learning Freelance job openings in California as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $97,931 per year, or $47.1 per hour.

Machine Learning Engineer, Core Engineering (San Francisco)

Pinterest

San Francisco, CA • On-site

$267K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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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