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Quant Developer Contract Jobs in Rohnert Park, CA

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Quant Developer Contract information

See Rohnert Park, CA salary details

$108.6K

$188K

$287.5K

How much do quant developer contract jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quant developer contract in Rohnert Park, CA is $188,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,000.00 and $220,400.00 per year, depending on experience, location, and employer.

What is the difference between Quant Developer Contract vs Quant Analyst?

AspectQuant Developer ContractQuant Analyst
Required CredentialsTypically requires a degree in finance, mathematics, or computer science; programming skills in Python, C++, or JavaUsually requires a degree in finance, economics, or mathematics; strong analytical and modeling skills
Work EnvironmentProject-based, short-term contracts, often in trading firms or hedge fundsFull-time, ongoing roles within financial institutions or asset management firms
Employer & Industry UsageCommon in hedge funds, proprietary trading firms, and financial technology companiesWidely used in investment banks, asset managers, and financial consulting firms

In summary, Quant Developer Contract roles focus on developing and implementing trading algorithms on a temporary basis, requiring strong programming skills. Quant Analysts typically perform ongoing quantitative research and modeling in a full-time capacity. Both roles share similar educational backgrounds but differ mainly in employment type and work environment.

What job categories do people searching Quant Developer Contract jobs in Rohnert Park, CA look for? The top searched job categories for Quant Developer Contract jobs in Rohnert Park, CA are:
Quant Developer Contract jobs near you
Infographic showing various Quant Developer Contract job openings in Rohnert Park, CA as of August 2026, with employment types broken down into 29% Full Time, and 71% Contract. Highlights an 100% In-person job distribution, with an average salary of $188,012 per year, or $90.4 per hour.

Machine Learning Engineer

Kanak Elite Services Inc

Bodega Bay, CA • Remote

Contractor

Re-posted 24 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).