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Machine Operator

Cleveland, OH · On-site

$40K - $60K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Check output to discover any machine-related mistakes or flaws * Report to supervisor(s) regularly, keeping them updated on production activities and progress * Test the operation of machines ...

New

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

$140 - $210/hr

We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation. About the Role We are seeking a high-impact Machine ...

New

USA BOOT COMPANY, LLC

Machine Operator

La Crosse, WI

  • Medical

  • Retirement

  • PTO

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 ...

Milliken and Company

Machine Operator

Hudson, NH · On-site

$17.25 - $20.50/hr

Discover more about Milliken's curious minds and inspired solutions at Milliken.com and on Facebook, Instagram and LinkedIn. POSITION TITLE / LOCATION Associate 3: Machine Operator - Hudson Plant JOB ...

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How much do discovery machine jobs pay per hour?

As of Aug 14, 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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Discovery Machine jobs near you
Infographic showing various Discovery Machine job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, 1% Temporary, 3% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.

Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

Genentech, Inc.

New York, NY • On-site

$147K - $274K/yr

Full-time

Re-posted 4 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity
At Roche's AI for Drug Discovery (AIDD) group, we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques. We are seeking a Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED). In this role, you will contribute to our internal reasoning Large Language Models (LLMs) and enable it to succeed at relevant drug discovery tasks, including biomolecular design. You will work at the intersection of engineering and research, designing and scaling large machine learning systems.
In this role, you will:
  • Scalable Systems & Engineering: Design, implement, and improve large-scale distributed machine learning systems, writing robust, performance-critical code and contributing to core infrastructure.
  • Model Improvement & Reasoning: Develop and execute strategies to systematically improve performance on scientific tasks, including long-horizon task completion and complex reasoning challenges.
  • Domain Translation: Translate biological and chemical domain knowledge into concrete machine learning objectives, training signals, and evaluation criteria.
  • Evaluation & Benchmarks: Design and implement evaluation methodologies to assess model capabilities relevant to biological research, working with domain experts to establish benchmarks and curate high-quality data.
  • Research-to-Production: Collaborate closely with researchers to translate ideas and prototypes into scalable, production-ready systems.

As a Machine Learning Scientist:
  • Focus: You focus on the execution of defined projects. You are responsible for writing clean, efficient code to test specific hypotheses regarding reasoning and alignment.
  • Engineering: You contribute to the maintenance of the training infrastructure and data pipelines, ensuring experiments run reliably on our clusters.
  • Collaboration: You work closely with senior scientists to implement novel algorithms, translating research papers into working prototypes.

Who you are
  • BS/MS in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with 2+ years of relevant work experience. Or Ph. D. with 0-2 years relevant work experience.
  • LLM Expertise: Experience developing and training large-scale machine learning models, including post-training techniques to enhance domain knowledge, reasoning capabilities, and model alignment.
  • Publication Record: A strong history of research excellence at top-tier venues (e.g., NeurIPS, ICLR, ICML).
  • Engineering: Strong software engineering skills and experience working with high-performance computing systems.

Preferred
  • Experience with molecular modalities (e.g., protein sequences, chemical graphs, and structured molecular data).
  • A public portfolio of research or significant contributions to open-source ML libraries.
  • A passion for applying frontier AI to drug discovery.

Relocation benefits are NOT available for this job posting
The expected salary range for this position, based on the primary location of New York City, is $141,100 -262,100 of hiring range, and for San Francisco, $147,600 - 274,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#ComputationCoE
#tech4lifeComputationalScience
#tech4lifeAI
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

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A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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