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Machine Learning Startup Jobs in California (NOW HIRING)

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Microsoft Corporation

Machine Learning

Mountain View, CA

$220K - $331K/yr

The MAIST is a startup-like team inside Microsoft AI , created to push the boundaries of AI toward ... Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s ...

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

... in a dynamic startup environment • Bring your own unique expertise to the team and learn from ... ideally with machine learning playing a critical role • Strong foundational knowledge of ...

Microsoft

Machine Learning

Mountain View, CA · On-site

$220K - $331K/yr

The MAIST is a startup-like team inside Microsoft AI , created to push the boundaries of AI toward ... Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s ...

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

... fast-paced startup environments. This leader should have a strong coding foundation, deep ... Define and own the machine learning roadmap in alignment with business goals. * Lead the ML ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... paced startup environment, and able to demonstrate strong ownership and urgency in execution.

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All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in California

Machine Learning Startup information

See California salary details

$25.2K

$42K

$86.8K

How much do machine learning startup jobs pay per year?

As of Jun 8, 2026, the average yearly pay for machine learning startup in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Startup position, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the most commonly searched types of Machine Learning Startup jobs in California? The most popular types of Machine Learning Startup jobs in California are:
What are popular job titles related to Machine Learning Startup jobs in California? For Machine Learning Startup jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Startup jobs in California look for? The top searched job categories for Machine Learning Startup jobs in California are:
What cities in California are hiring for Machine Learning Startup jobs? Cities in California with the most Machine Learning Startup job openings:
Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in California as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Temporary. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.

Machine Learning Engineer

She Recruits LLC

San Francisco, CA

$130K - $200K/yr

Other

Medical, Dental, Vision, Life

Posted yesterday

Job description

Machine Learning Engineer
Location: San Francisco, CA
Salary Range: $130,000 - $200,000
About Us:
Join our innovative AI company in San Francisco, where we're redefining how knowledge is accessed and understood. We're looking for a passionate Machine Learning Engineer with a deep understanding of machine learning, an experimental mindset, and the drive to thrive in a fast-paced startup environment.
Key Responsibilities:
  • Develop and train state-of-the-art machine learning models, optimizing them to tackle complex real-world problems.
  • Design and implement an RLAIF (Reinforcement Learning from AI Feedback) pipeline to enhance our search functionalities.
  • Dive into new model architectures-have a novel idea? Prototype it, test it, and see how it stacks up against existing solutions!
  • Work with extensive datasets, crafting large-scale, high-quality data solutions to power our models.
Requirements:
  • Experience: 2-15 years in a commercial ML role; startup orientation and enthusiasm for AI innovation are highly valued over years alone.
  • Technical Proficiency: Advanced skills in Python and frameworks such as TensorFlow, PyTorch, Keras, and/or scikit-learn.
  • Specialized Skill: Ability to code a transformer from scratch in PyTorch.
  • Education: Graduate-level machine learning experience from a top-tier university (proof of grades required).
  • Mindset: A strong commitment to improving knowledge accessibility, with a keen understanding of its global impact.
What We Offer:
  • Compensation: Competitive salary up to $200k, with equity options.
  • Benefits: Comprehensive medical, dental, vision, and life insurance.
  • Wellness: Gym reimbursement and nutritious office lunches and dinners.

Come contribute to an AI future that brings knowledge closer to everyone-apply today to be a part of our journey!

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