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Machine Learning Startup Jobs in California (NOW HIRING)

OpenReq

Machine Learning Engineer

San Francisco, CA · On-site

Advex is a seed stage tech startup focused on solving challenges in computer vision through effective data collection. As a Machine Learning Engineer, you will shape the technical direction of the ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

About the Role We're hiring our first Machine Learning Engineer in the United States, a ... Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Prior experience working in a startup environment Compensation For this role, the target salary ...

Plenful

Machine Learning Engineer

San Francisco, CA · On-site

We're a fast-moving startup where priorities evolve quickly - you should be energized by that, not worn down by it. What You'll Do * Design, build, and deploy machine learning models into production

Swish Analytics

Machine Learning Engineer

San Francisco, CA · On-site +1

$160K/yr

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of ... The Data Science team is hiring an experienced Machine Learning Engineer with a background building ...

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$160K - $220K/yr

Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will * Conceptualize, develop, and deploy machine learning models that ...

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$160K - $220K/yr

Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You Will * Conceptualize, develop, and deploy machine learning models that ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

You thrive in a fast-paced startup environment and are motivated by building models that don't just ... What You'll Do You'll develop machine learning models that move beyond experimentation and into ...

Voltai

Machine Learning Engineer

Menlo Park, CA · On-site

The Machine Learning Engineer will architect and develop high-performance AI systems, manage large ... growth startup environment Company : AI models for electronics Founded in , the company is ...

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Showing results 21-40

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 Aug 21, 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 is a machine learning startup?

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 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 are the key skills and qualifications needed to thrive in a machine learning startup, 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 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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.

Machine Learning Engineer

OpenReq

San Francisco, CA • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Advex is a seed stage tech startup focused on solving challenges in computer vision through effective data collection. As a Machine Learning Engineer, you will shape the technical direction of the company by automating the ML life-cycle and engaging directly with customers while contributing to the architectural roadmap of the Advex platform.
Responsibilities:
• Play a pivotal role in shaping the company's technical direction.
• Collect data, label data, train model and iterate multiple times before achieving desired performance.
• Work with the CTO to automate the entire ML life-cycle by scaling the Advex pipeline.
• Identify gaps in data distributions, generate labeled synthetic samples, and train downstream models on enhanced synthetic datasets.
• Engage directly with customers.
• Contribute heavily to the architectural roadmap, laying the foundation for the Advex platform.
• Understand gaps in data distributions.
• Control Diffusion Models.
• Evaluate generative models.
• Full-stack development.
• Large scale model training.
• Build infrastructure to run complex ML pipelines.
• Prune and model quantization.
Qualifications:
Required:
• 3 to 5 years of industry experience in full-stack Deep Learning and Computer Vision
• Prior experience working at a startup
• Experiences in end to end ML application development, including data engineering, model tuning, and model serving
• Technical expertise demonstrated through published papers or industry experience: Representation learning – SSL, VAE, Dino, SAM
• Building and scaling ML Infrastructure - AWS, GCP, containerization
• Proven track record of rapidly delivering complex project within tight deadlines
• Ability to make critical decisions with little information
• Excel at identifying bottlenecks and gaps within research papers and swiftly translating them into code.
Company:
OpenReq is a talent acquisition firm that offers recruiting and staffing solutions for early-stage start-ups. Founded in 2020, the company is headquartered in San Diego, USA, with a team of 11-50 employees. The company is currently Early Stage.

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