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Discovery Machine Jobs (NOW HIRING)

Vilya

Machine Learning Engineer

Seattle, WA

$154K - $174K/yr

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.

Stahl Specialty Company

MACHINE OPERATOR

Kingsville, MO · On-site

$16 - $19.25/hr

On-the-job training is a good way to discover how to do the job better, so you should have ... Set up machines (calibration, cleaning etc.) to start a production cycle * Control and adjust ...

Carris Reels, Inc.

Machine Operator

Enfield, CT · On-site

$18.50 - $19.50/hr

On-the-job training is a good way to discover how to do the job better, so you should have the ... Set up machines (calibration, cleaning etc.) to start a production cycle. * Control and adjust ...

CARRIS REELS GROUP

Machine Operator

Enfield, CT · On-site

$18.50 - $19.50/hr

On-the-job training is a good way to discover how to do the job better, so you should have the ... Set up machines (calibration, cleaning etc.) to start a production cycle. * Control and adjust ...

Kelly

Machine Operator

Franklin, MA · On-site

$21 - $22.50/hr

Helping you discover what's next in your career is what we're all about, so let's get to work. Apply to be a Machine Operator today! Company Description We empower businesses and people to access ...

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How much do discovery machine jobs pay per hour?

As of May 28, 2026, the average hourly pay for discovery machine in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Discovery Machine vs Data Analyst?

AspectDiscovery MachineData Analyst
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications like AWS, Azure, or data analysis tools are commonUsually requires a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools are common
Work EnvironmentWorks in tech companies, data-driven industries, often in collaborative teamsWorks across various industries, including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed in technology, software development, and data science companiesUsed across multiple industries for interpreting and visualizing data

The Discovery Machine and Data Analyst roles share overlapping skills in data handling and analysis but differ mainly in technical focus and industry application. Discovery Machines often involve working with AI and machine learning models, while Data Analysts focus on interpreting data to inform business decisions.

More about Discovery Machine jobs
What cities are hiring for Discovery Machine jobs? Cities with the most Discovery Machine job openings:
What states have the most Discovery Machine jobs? States with the most job openings for Discovery Machine jobs include:
What job categories do people searching Discovery Machine jobs look for? The top searched job categories for Discovery Machine jobs are:
Discovery Machine jobs near you
Infographic showing various Discovery Machine job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $54,803 per year, or $26.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Vilya

Seattle, WA

$154K - $174K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 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