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Contract Machine Learning Engineer Biotech Jobs (NOW HIRING)

Vilya is a computational biotechnology company creating a novel class of medicines to precisely ... creative, and knowledgeable Machine Learning Engineer to help us build a highly-scalable ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

Machine Learning Engineer LOCATIONHonolulu, HI 96815 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...

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Contract Machine Learning Engineer Biotech information

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$31.5K

$128.8K

$193.5K

How much do contract machine learning engineer biotech jobs pay per year?

As of Jun 13, 2026, the average yearly pay for contract machine learning engineer biotech in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the difference between Contract Machine Learning Engineer Biotech vs Contract Data Scientist Biotech?

AspectContract Machine Learning Engineer BiotechContract Data Scientist Biotech
CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and pipelines for biotech applicationsAnalyzes data, builds statistical models, and interprets biological data
Industry UsageUsed in biotech R&D, drug discovery, and personalized medicineApplied in clinical data analysis, biomarker discovery, and research

Contract Machine Learning Engineers focus on developing and deploying ML models specific to biotech challenges, while Contract Data Scientists analyze biological data to extract insights. Both roles require strong technical skills but differ in their primary focus—model development versus data analysis.

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What cities are hiring for Contract Machine Learning Engineer Biotech jobs? Cities with the most Contract Machine Learning Engineer Biotech job openings:
What are the most commonly searched types of Machine Learning Engineer Biotech jobs? The most popular types of Machine Learning Engineer Biotech jobs are:
What states have the most Contract Machine Learning Engineer Biotech jobs? States with the most job openings for Contract Machine Learning Engineer Biotech jobs include:
Machine Learning Engineer

Machine Learning Engineer

Vilya

Seattle, WA

$154K - $174K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Vilya is a computational biotechnology company creating a novel class of medicines to precisely target disease biology. We believe computational approaches are an integral, if not foundational, component of drug discovery and development. Our platform is built on ground-breaking research in advanced computational approaches and taps into uncharted chemical space to design new molecular structures not found in nature.

We are harnessing the power of our platform to go after previously impossible targets in an array of indications. Vilya's ultimate goal is to solve some of the most challenging unmet medical needs that exist today.

Our Vision: Harness a revolution in technology and biology to better human health

Our Mission: Build an independent, leading biotech company founded on intelligent drug design to cure the incurable

We think from atoms to bits – and everywhere in between; now, we are seeking a highly-motivated, creative, and knowledgeable Machine Learning Engineer to help us build a highly-scalable computational drug discovery platform.

Vilya is a team-first organization, and we believe onsite work is essential to how we collaborate, move quickly, and build a strong culture. This is an onsite position in our Seattle office. Join us and help make a difference for patients!

RESPONSIBILITIES:

  • Develop and maintain the infrastructure to support machine learning workflows for drug discovery at scale.
  • Implement and optimize algorithms for data processing, model training and model deployment.
  • Collaborate with and support the computational scientists at Vilya to help build a world-class computational macrocycle drug discovery pipeline.
  • Participate in the development and enhancement of our software platform to ensure that our codebase is reliable, efficient, secure, and scalable.

BASIC QUALIFICATIONS:

  • 1+ year of experience developing and maintaining ML pipelines
  • Understanding of general software development concepts, including git, containers, testing, cloud computing, etc.
  • Experience with modern deep learning frameworks, like PyTorch or JAX
  • Experience with Python scientific computing tools, such as numpy, scipy, pandas, etc.
  • Experience working with big data pipelines
  • Experience working within Linux environments
  • Ability to effectively communicate with a team of diverse backgrounds
  • B.S. in computer science (or equivalent industry experience)

PREFERRED QUALIFICATIONS:

  • A solid background in machine learning, including linear algebra, statistics, and calculus
  • Experience with modern generative modeling frameworks, such as flow matching and diffusion
  • Familiarity with techniques for modeling point-clouds or graphs (GNNs, equivariant transformers, etc.)
  • Familiarity with basic cheminformatics libraries and tools (RDKit, OpenBabel, PyMol, etc.)
  • An interest in drug discovery and working with biochemical data

VILYA BENEFITS:

  • Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team
  • 401(k) plan with employer matching for contributions
  • Stock options
  • Excellent medical, dental, and vision coverage
  • Open, flexible vacation policy
  • Support to attend professional conferences meaningful to your career growth
  • Monthly cell phone and internet stipend
  • Monthly wellness and commuter stipend

#LI-Onsite

Salary range for Seattle, WA
$154,000—$174,000 USD