ZipRecruiter

Log In

1

Machine Learning Engineer From Home Jobs in Bodega Bay, CA

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$160K - $220K/yr

Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers ... You love utilizing machine learning techniques to push the boundaries of what is possible within ...

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

The machine learning models will drive rapid design iterations by assessing potential risks and ... You will be fully integrated with the product design team from the earliest stages to engineer ...

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

The machine learning models will drive rapid design iterations by assessing potential risks and ... You will be fully integrated with the product design team from the earliest stages to engineer ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer From Home JobsMachine Learning Engineer From Home Jobs in Bodega Bay, CA

Machine Learning Engineer From Home information

See Bodega Bay, CA salary details

$37.4K

$152.8K

$229.6K

How much do machine learning engineer from home jobs pay per year?

As of Aug 27, 2026, the average yearly pay for machine learning engineer from home in Bodega Bay, CA is $152,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $183,900.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

Can a machine learning engineer work from home?

Yes, many machine learning engineers can work from home, especially in roles that involve data analysis, model development, and coding using tools like Python and TensorFlow. Remote work is common in this field, provided the engineer has a reliable internet connection, access to necessary hardware, and effective communication skills.

What are the most commonly searched types of Machine Learning Engineer jobs in Bodega Bay, CA?

The most popular types of Machine Learning Engineer jobs in Bodega Bay, CA are:

What are popular job titles related to Machine Learning Engineer From Home jobs in Bodega Bay, CA?

For Machine Learning Engineer From Home jobs in Bodega Bay, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer From Home jobs in Bodega Bay, CA look for?

The top searched job categories for Machine Learning Engineer From Home jobs in Bodega Bay, CA are:

What cities near Bodega Bay, CA are hiring for Machine Learning Engineer From Home jobs?

Cities near Bodega Bay, CA with the most Machine Learning Engineer From Home job openings:

Machine Learning Engineer From Home jobs near you
Infographic showing various Machine Learning Engineer From Home job openings in Bodega Bay, CA as of August 2026, with employment types broken down into 2% As Needed, 69% Full Time, 26% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $152,818 per year, or $73.5 per hour.

Machine Learning Engineer

Bodega Bay, CA • Remote

Kanak Elite Services Inc
Software Development • 51 - 200 employees
Learn more about Kanak Elite Services Incexternal

Contractor

Re-posted 12 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Title:  Machine Learning Engineer
Location:  South San Francisco, CA  - hybrid role in Bay Arear
Position Type:  Contract 
 

Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, 

Work on ML workflows for molecular property prediction & generative modeling to accelerate drug discovery. 3–5 yrs esp. or PhD with publications in molecular design.

Must have Masters or PH.D. Must have experience in working environment or while getting Master’s or no to very little work exp with PH.D  in Molecular design. Need to have portfolio of their work or be published. Find me Machine Learning with Molecular experience in Bay Area or someone who will relocate as last resort. 
MindSource is looking for a Machine Learning Engineer to join our client's team in South San Francisco, CA.  They will be developing and deploying advanced computational methods for molecular design.  This is a 12-month hybrid contract.  

About the Role

  • Build pipelines for probabilistic molecular property prediction and Bayesian acquisition to power active learning–driven drug discovery.
  • Engineer workflows for molecular generative modeling and other innovative design approaches.
  • Collaborate with machine learning scientists, engineers, computational chemists, and biologists.
  • Partner with therapeutic development teams to analyze existing molecules and design new candidates.
  • Contribute to ongoing initiatives while driving new research directions.

Qualifications

  • PhD in Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics, or related quantitative field — OR MS + 3+ years of relevant industry experience.
  • Demonstrated expertise in production-ready ML workflows (e.g., PyTorch + Lightning + Weights & Biases).
  • Strong track record of achievement (e.g., high-impact first-author publication or equivalent).
  • Excellent written, visual, and verbal communication skills.

Preferred Experience

  • Knowledge of physical modeling (e.g., molecular dynamics) and cheminformatics (e.g., RDKit).
  • Background in molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, or statistical methods.
  • Hands-on experience with Python, PyTorch, Torch Geometric, PyTorch Lightning, RDKit, and BoTorch.
  • Public portfolio of computational projects (e.g., GitHub).