ZipRecruiter

Log In

2

Remote Contract Chemical Engineer Jobs in Santa Rosa, CA

ABB

Utility Sales Support

CA · Remote

$17.75 - $23.25/hr

While this is a remote position, candidates must be located in the United States. You will be ... Bachelor's Degree in engineering, business or related field preferred * Minimum 3 years of ...

All JobsContract Chemical Engineer JobsRemote Contract Chemical Engineer JobsRemote Contract Chemical Engineer Jobs in Santa Rosa, CA

Remote Contract Chemical Engineer information

See Santa Rosa, CA salary details

$43.7K

$95.7K

$153.1K

How much do remote contract chemical engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote contract chemical engineer in Santa Rosa, CA is $95,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $116,400.00 per year, depending on experience, location, and employer.

What is a remote contract chemical engineer?

A remote contract chemical engineer is a professional who applies principles of chemistry, physics, and engineering to solve problems involving the production or use of chemicals and related products, but works remotely (often from home) rather than on-site. They are typically hired on a contractual basis for specific projects or time periods rather than as full-time employees. Their tasks may include designing processes, optimizing production methods, ensuring safety compliance, and performing simulations or analyses using specialized software. Being remote allows them to collaborate with teams and clients via digital communication tools, offering flexibility to both the engineer and employer.

What are the key skills and qualifications needed to thrive as a remote contract chemical engineer?

A Remote Contract Chemical Engineer typically requires a degree in chemical engineering, strong analytical skills, and experience in process design and optimization. Familiarity with simulation software such as Aspen Plus or ChemCAD, and knowledge of industry regulations and safety standards, are highly valued. Excellent communication, time management, and self-motivation are crucial for effective collaboration and independent work in a remote setting. These skills ensure successful project delivery, compliance, and seamless integration with distributed teams.

What are some unique challenges faced by remote contract chemical engineers, and how can they be addressed?

Remote contract chemical engineers often encounter challenges related to communication and collaboration, as they may not have immediate, in-person access to team members or on-site equipment. To address these issues, it's important to establish clear communication channels, use collaborative project management tools, and schedule regular virtual meetings. Additionally, remote engineers should proactively seek feedback and clarify project expectations to ensure alignment with client goals, all while maintaining strong documentation practices to support transparency and project continuity.

What is the difference between Remote Contract Chemical Engineer vs Remote Contract Process Engineer?

AspectRemote Contract Chemical EngineerRemote Contract Process Engineer
CredentialsEngineering degree, chemical engineering license (if required)Engineering degree, process engineering certification (if applicable)
Work EnvironmentProject-based, consulting, or client sites (remote options available)Manufacturing plants, process design, or consulting (remote options available)
Industry UsageChemical manufacturing, pharmaceuticals, energyChemical, petrochemical, food processing industries
Search & Comparison IntentUnderstanding roles, remote opportunities, project scopeProcess design, optimization, remote consulting

The Remote Contract Chemical Engineer and Remote Contract Process Engineer roles share similar credentials and work environments, often involving project-based work in chemical-related industries. While both can be remote, Chemical Engineers may focus more on chemical processes and safety, whereas Process Engineers emphasize process optimization and efficiency. Candidates should consider their specific skills and industry focus when exploring these roles.

What are popular job titles related to Remote Contract Chemical Engineer jobs in Santa Rosa, CA?

For Remote Contract Chemical Engineer jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching Remote Contract Chemical Engineer jobs in Santa Rosa, CA look for?

The top searched job categories for Remote Contract Chemical Engineer jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Remote Contract Chemical Engineer jobs?

Cities near Santa Rosa, CA with the most Remote Contract Chemical Engineer job openings:

Remote Contract Chemical Engineer jobs near you

Machine Learning Engineer

Kanak Elite Services Inc

Bodega Bay, CA • Remote

Contractor

Re-posted 8 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).