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Hourly Remote Machine Learning Engineer Jobs in Bodega Bay, CA

Agility Robotics

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Lead the selection and integration of advanced machine learning models, algorithms, and deep ... D.) in Computer Science, Robotics, Electrical Engineering, or a related field. * Minimum of 8 years ...

Atlas Technica

Systems Engineer- Hybrid

Bodega Bay, CA · On-site +1

$70K - $100K/yr

San Francisco Bay Area, CA (Hybrid) Type: Full-Time Hourly, Non-Exempt Atlas Technica's mission is ... around machinery and material handling equipment. Desirable Qualities: * Financial industry ...

MonetizeNow

Senior Software Engineer (backend)

Bodega Bay, CA · Remote

$145K - $191K/yr

We are looking for an engineer who has done this before to help us architect and build it right ... Experience working with remote teams on complex software experiences * Experience with JavaScript ...

GCX Healthcare Solutions

Software Engineer

Petaluma, CA · Remote

$125K - $150K/hr

... remote management, and operational insights. You'll join a small, high-impact team (3-4 engineers ... working across: * A Java-based tablet/peripheral management platform * A Python-based IoT system ...

eNett

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Seattle, WA; and Portland, ME About the Team/Role We are seeking a seasoned Sr. Software Engineer ...

WEX

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Seattle, WA; and Portland, ME About the Team/Role We are seeking a seasoned Sr. Software Engineer ...

Block

Senior Software Engineer, Cash App Taxes

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... As a Senior Software Engineer on our Tax Engine Server Engineering team, you will build and enhance ...

All JobsHourly Machine Learning Engineer JobsHourly Remote Machine Learning Engineer JobsHourly Remote Machine Learning Engineer Jobs in Bodega Bay, CA

Hourly Remote Machine Learning Engineer information

See Bodega Bay, CA salary details

$30.3K

$50.5K

$104.4K

How much do hourly remote machine learning engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for hourly remote machine learning engineer in Bodega Bay, CA is $50,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,600.00 and $54,600.00 per year, depending on experience, location, and employer.

What does an hourly remote machine learning engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What are the key skills and qualifications needed to thrive as an hourly remote machine learning engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.

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

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

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

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

What cities near Bodega Bay, CA are hiring for Hourly Remote Machine Learning Engineer jobs?

Cities near Bodega Bay, CA with the most Hourly Remote Machine Learning Engineer job openings:

Hourly Remote Machine Learning Engineer jobs near you
Infographic showing various Hourly Remote Machine Learning Engineer job openings in Bodega Bay, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $50,537 per year, or $24.3 per hour.

Machine Learning Engineer

Bodega Bay, CA • Remote

Kanak Elite Services Inc
See more jobs at Kanak Elite Services Incexternal

Contractor

Re-posted 11 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).