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Remote Mechanical Engineering Machine Learning Jobs in California

Willing Tech

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

Remote (US/Canada) Sector: Scientific AI / SaaS We're partnering with a pioneering SaaS company at ... Job functionAnalyst, Consulting, and Engineering * IndustriesSoftware Development, Biotechnology ...

Swish Analytics

Machine Learning Engineer

San Francisco, CA · On-site +1

$160K/yr

The Data Science team is hiring an experienced Machine Learning Engineer with a background building ... Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

You will bridge the gap between core AI research and production-grade engineering, developing ... Employee divides their time between in-office and remote work. Access to an office location is ...

Genentech

Machine Learning Engineer

South San Francisco, CA · On-site +1

$168K - $312K/yr

The Machine Learning Engineer sits on the Data Science & Machine Learning Team to help the CMG ... Proficient with software engineering best practices, including agile development, code reviews, SCM ...

New

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

You are someone who can grasp advanced engineering concepts across multiple industries, and excel ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

... remote. What you'll do: * Implement and refine DL pipelines on distributed computing platforms ... Act as a bridge facilitating communication between the engineering and scientific teams ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from ...

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All JobsMechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning JobsRemote Mechanical Engineering Machine Learning Jobs in California

Remote Mechanical Engineering Machine Learning information

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

What is a Remote Mechanical Engineering Machine Learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.
What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in California? The most popular types of Mechanical Engineering Machine Learning jobs in California are:
What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in California? For Remote Mechanical Engineering Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in California look for? The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in California are:
What cities in California are hiring for Remote Mechanical Engineering Machine Learning jobs? Cities in California with the most Remote Mechanical Engineering Machine Learning job openings:
Remote Mechanical Engineering Machine Learning jobs near you
Infographic showing various Remote Mechanical Engineering Machine Learning job openings in California as of July 2026, with employment types broken down into 21% Internship, 57% Full Time, and 22% Contract. Highlights an 100% Remote job distribution.

Machine Learning Engineer

Willing Tech

San Francisco, CA • On-site, Remote

$172K - $384K/yr

Full-time

Re-posted 6 days ago

Job description

This range is provided by Willing Tech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $300,000.00/yr

Direct message the job poster from Willing Tech

Machine Learning Engineer – Scientific Visualisation Platform

Location: Remote (US/Canada)

Sector: Scientific AI / SaaS

We’re partnering with a pioneering SaaS company at the forefront of AI for scientific communication. Their platform is redefining how scientists present, understand, and share complex biological research—turning experimental protocols, data, and text into clear, editable visuals that accelerate discovery and decision-making.

They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs. If you’re excited by real-world, high-impact problems and want to apply machine learning at the intersection of computer vision, scientific research, and design, this is your opportunity.

What You’ll Do

  • Develop machine learning systems that generate structured vector graphics (e.g., SVG/JSON) from biological and textual inputs.
  • Design novel ML architectures focused on scientific diagram generation and natural language-guided editing.
  • Apply the latest in generative AI, computer vision, and multimodal learning to scientific contexts.
  • Collaborate with ML researchers, engineers, and product designers to move from experimentation to scalable deployment.
  • Ensure the visual and biological accuracy, scalability, and editability of AI-generated outputs.

Ideal Candidate

  • 5+ years of experience in machine learning, particularly in computer vision, NLP, or multimodal models.
  • Hands-on experience building and deploying ML systems in production (preferably at a SaaS or product company).
  • Strong coding skills in Python and experience with frameworks like PyTorch, TensorFlow, or JAX.
  • Comfortable with open-ended, technically ambiguous challenges—especially in scientific or research-heavy domains.
  • Bonus: Experience with SVG or vector graphics generation, or a background in life sciences or bio-related research.

Why Join

  • Be one of the first ML hires tackling a completely novel problem in scientific visualisation.
  • Work in a fully remote setup with a smart, mission-aligned team spread across the US and Canada.
  • Shape the technical direction of a product used and loved by scientists around the globe.
  • Join a VC-backed company with an established user base, strong product-market fit, and a clear mission: make science more accessible and actionable.

Interview Insight

We’re looking for engineers who can demonstrate both depth and practicality. Expect conversations around:

  • Your experience with multimodal learning (e.g., combining visual + textual data).
  • Projects where you worked with or generated SVG/vector graphics.
  • The most impactful ML model you’ve developed—metrics, use cases, and why it mattered.

Interested? Let’s connect.

Apply now or reach out directly for a confidential conversation.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionAnalyst, Consulting, and Engineering
  • IndustriesSoftware Development, Biotechnology Research, and Data Infrastructure and Analytics

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