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Discovery Machine Jobs (NOW HIRING)

Hybrid - Bay Area, CA We are seeking a Machine Learning Engineer with expertise in molecular design to support cutting-edge drug discovery initiatives. The role focuses on developing and optimizing ...

$190 - $270/hr

The EIC will be a discovery machine for unlocking the secrets of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly ...

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

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

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How much do discovery machine jobs pay per hour?

As of Sep 5, 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.

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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:

Infographic showing various Discovery Machine job openings in the United States as of August 2026, with employment types broken down into 100% Full 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

3B Staffing LLC

Tahoma, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Machine Learning Engineer (Molecular Design)
Location: Hybrid - Bay Area, CA

Job Description:
We are seeking a Machine Learning Engineer with expertise in molecular design to support cutting-edge drug discovery initiatives. The role focuses on developing and optimizing ML workflows for molecular property prediction and generative modeling to accelerate research and innovation.

Key Responsibilities:

  • Develop and implement machine learning models for molecular property prediction and generative molecular design.
  • Collaborate with cross-functional teams to integrate ML workflows into drug discovery pipelines.
  • Analyze and interpret complex molecular datasets to guide experimental design.
  • Stay up-to-date with the latest research and publications in molecular modeling and computational chemistry.

Qualifications:

  • 3-5 years of experience in machine learning, computational chemistry, or molecular modeling, or a PhD with relevant publications in molecular design.
  • Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
  • Hands-on experience with generative models, predictive modeling, and molecular simulations.
  • Excellent analytical, problem-solving, and communication skills.

Preferred:

  • Experience in drug discovery or pharmaceutical research environments.
  • Familiarity with cheminformatics tools and molecular libraries.