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Machine Engineer Jobs in California (NOW HIRING)

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Adobe

Machine Learning Engineer

San Jose, CA

As a Machine Learning Engineer, you will play a key role in developing machine learning models and algorithms. Our team is dedicated to solving complex business challenges through innovative machine ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

They are seeking a Machine Learning Engineer to design, build, and optimize backend services that power ML and Generative AI features, while collaborating with cross-functional teams to integrate ML ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Skild AI

Machine Learning Engineer

San Mateo, CA

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

The role involves designing, building, and deploying machine learning solutions while collaborating with a team of software engineers and researchers to tackle significant security challenges.

Gotion Inc.

Machine Learning Engineer

Fremont, CA · On-site

They are seeking a highly motivated Machine Learning Engineer to design and implement machine learning models for advanced battery products, collaborating with cross-disciplinary teams to address ...

Advantest

Machine Learning Engineer

San Jose, CA · On-site

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of data-driven and ML-powered solutions for semiconductor R&D, test, and operations teams. In this role ...

Motorola

Machine Learning Engineer

Los Angeles, CA

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...

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All JobsMachine Engineer JobsMachine Engineer Jobs in California

Machine Engineer information

See California salary details

$31.1K

$127.1K

$191K

How much do machine engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for machine engineer in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Engineer, and why are they important?

To thrive as a Machine Engineer, you need a solid background in mechanical engineering principles, problem-solving skills, and typically a bachelor’s degree in mechanical or related engineering fields. Experience with CAD software, PLC programming, and familiarity with industry standards or certifications like Six Sigma are often required. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this field. These competencies are crucial for designing, optimizing, and maintaining machinery to ensure efficient and safe operations in manufacturing environments.

What are the typical collaborative interactions a Machine Engineer has with other departments?

Machine Engineers frequently work alongside cross-functional teams, including production, quality assurance, and maintenance. They often collaborate with design engineers to refine machine specifications and with operators to ensure equipment runs smoothly. Regular communication with procurement and supply chain teams is also common to coordinate the sourcing of machine components and materials. This collaborative approach helps ensure that machinery meets both operational and safety standards while aligning with overall production goals.

What are Machine Engineers?

Machine Engineers are professionals who design, develop, test, and maintain machinery and mechanical systems used in various industries, such as manufacturing, automotive, and robotics. They apply principles of mechanical engineering, mathematics, and physics to solve problems related to machines and their components. Machine Engineers may work on improving existing equipment, developing new machines, or overseeing the installation and operation of machinery. Their responsibilities often include creating technical drawings, selecting appropriate materials, and ensuring machines operate safely and efficiently.

What is the difference between Machine Engineer vs Mechanical Engineer?

AspectMachine EngineerMechanical Engineer
Required CredentialsBachelor's in Mechanical, Electrical, or Industrial Engineering; certifications varyBachelor's in Mechanical Engineering; often includes licensure
Work EnvironmentManufacturing plants, industrial facilities, machinery designDesign offices, research labs, manufacturing settings
Industry UsageHeavy machinery, automation, manufacturingAutomotive, aerospace, robotics, product design

Machine Engineers focus on designing, maintaining, and improving machinery and automation systems, often working directly with manufacturing equipment. Mechanical Engineers have a broader scope, working on product design, thermodynamics, and structural analysis across various industries. Both roles require strong engineering fundamentals, but Machine Engineers typically specialize in machinery operation and optimization, while Mechanical Engineers work on a wider range of mechanical systems.

What are popular job titles related to Machine Engineer jobs in California? For Machine Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Engineer jobs in California look for? The top searched job categories for Machine Engineer jobs in California are:
What are popular job titles related to Machine Engineer jobs in CA? For Machine Engineer jobs in CA, the most frequently searched job titles are:
Machine Engineer jobs near you
Infographic showing various Machine Engineer job openings in California as of May 2026, with employment types broken down into 86% Full Time, 10% Part Time, 2% Contract, and 2% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.

Machine Learning Engineer

Latent

San Francisco, CA • On-site

$225K - $300K/yr

Full-time

Posted 26 days ago

Job description

Machine Learning Engineer
About Latent Health
Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family.
For everyone else, care is fragmented and impersonal.
Medical history is scattered across systems that don't communicate. Physicians have minutes to understand decades of context. And when something goes wrong, patients are left with tools that understand medicine broadly-but not the individual.
We believe this can be fundamentally rebuilt.
At Latent Health, we are building systems that understand both:
  • the population (clinical knowledge at scale)
  • and the individual (longitudinal patient history)

Our models are designed to answer complex clinical questions with patient-specific context and verifiable reasoning.
Our dataset represents one of the most clinically diverse populations in the United States, including patients with chronic illness and complex disease. Each patient record contains extraordinary depth.
ML at Latent Health
The Machine Learning team is responsible for building systems that run in real clinical workflows.
We work on:
  • Verifiable reinforcement learning at scale
  • Mid-training and post-training of foundation models
  • Novel objectives derived from longitudinal patient data

We are a small group of researchers and engineers focused on pushing the frontier while shipping real systems into production.
We are a small team and expect engineers to take ownership of critical systems, not components.
The Role
As a Machine Learning Engineer, you will own the design, development, and operation of production-grade ML systems that run in real clinical workflows.
You will drive systems from ambiguous problem definition through to reliable production deployment, setting technical direction along the way.
We are primarily hiring for senior and staff-level engineers who are comfortable owning critical systems end-to-end.
This role involves owning systems that directly impact real patient outcomes.
What You'll Do
  • Own end-to-end ML systems, including architecture, data, modeling, evaluation, and production infrastructure
  • Train and fine-tune large language models (LLMs) for:
    • Clinical reasoning
    • Medical question answering
    • Evidence-grounded generation
  • Make and own tradeoffs across accuracy, latency, cost, and safety in high-stakes production environments
  • Develop evaluation frameworks to ensure model safety and clinical validity
  • Integrate ML systems into product workflows and patient-facing applications
  • Monitor system performance in production and iterate based on real-world usage and feedback
  • Define what "correct" means in ambiguous clinical workflows in collaboration with engineers and clinicians

What We're Looking For
  • Strong foundation in machine learning and software engineering
  • Track record of building and owning ML systems in production where performance, reliability, or correctness materially mattered
  • Experience driving ambiguous ML problems from 0→1, including problem formulation, model design, and productionization
  • Hands-on experience with PyTorch or similar frameworks
  • Ability to operate independently in high-ambiguity environments with minimal guidance
  • Strong product and engineering judgment - you know when to use ML, when not to, and how to scope problems accordingly
  • Comfort working in a fast-moving, early-stage environment
  • Experience working on systems where decisions have real-world consequences (e.g., healthcare, finance, infrastructure)

Nice to Have
  • Experience deploying LLMs in production environments
  • Experience building distributed systems or large-scale data pipelines
  • Experience working with clinical, biomedical, or other regulated datasets

Why Join Latent Health
  • Work on high-stakes problems with real impact on patient care
  • Build systems that define how AI is trusted in clinical decision-making
  • Significant ownership in a small, high-caliber team
  • Competitive compensation and meaningful equity

Location
We are based in San Francisco and work together in person.
We spend most of the week in the office and prioritize candidates who are excited to work this way.
Compensation
  • Base salary: $225,000 - $300,000+
  • Meaningful equity in an early-stage, Series A company

Closing
If you're interested in building systems that bring truly personalized healthcare to millions of patients, we'd love to talk.

Apply