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Ai Machine Learning Scientist Jobs (NOW HIRING)

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics ...

MyOme

Machine Learning Scientist

San Francisco, CA

Description MyOme is looking for a world-class machine learning scientist to join us on our mission to help people maximize the value of their genomic information. You will report to the head of ...

Gyrus AI

AI / Machine Learning Engineer

Santa Clara, CA · On-site

$133K - $160K/yr

Develop machine learning applications according to requirements * Select appropriate datasets and ... BachelorsDegree in Computer Science or related field required * Minimum 2 years experience ...

Axon

Senior Machine Learning Scientist

Boston, MA

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. * Join force with MLEs or firmware or hardware ...

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How much do ai machine learning scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai machine learning scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Ai Machine Learning Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Sr. Machine Learning Scientist, Foundation Models, AI for Drug Discovery

South San Francisco, CA • On-site

Genentech, Inc.
Scientific Research and Development Services • 10K+ employees
Learn more about Genentech, Inc.external

$168K - $312K/yr

Full-time

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

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

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 organizations 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 maximizing 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 (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques. We are seeking a Senior Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED). In this role, you will drive the development of our internal reasoning Large Language Models (LLMs) and enable it to succeed at 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:
  • Technical Leadership & Strategy: Lead the design and evolution of scientific reasoning systems, setting technical direction for model architectures, training strategies, and evaluation methodologies.
  • Model Capability & Improvement: Define and execute approaches to systematically improve model performance on scientific tasks, including long-horizon reasoning and complex decision-making.
  • Domain Translation: Translate biological and chemical domain knowledge into machine learning objectives, training signals, and evaluation criteria, working closely with domain experts.
  • Scalable Systems & Engineering: Architect and improve large-scale distributed machine learning systems, ensuring robustness, efficiency, and reproducibility across training and evaluation workflows.
  • Research-to-Production Impact: Partner with researchers and cross-functional teams to move models from research prototypes to production-ready systems that support active discovery programs.

As a Senior ML Scientist:
  • You are the primary driver of technical implementation for scientific reasoning, translating high-level research goals into robust training code.
  • You own the end-to-end integrity of large-scale training runs, from data orchestration to the development of rigorous reasoning benchmarks.
  • You act as a technical mentor to junior staff and interns, fostering a culture of engineering excellence and rapid experimentation.

Who You Are:
  • PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
  • Experience: 0 - 2+ years of industry or post-doc experience with a focus on deep learning.
  • LLM Expertise: Extensive experience developing and training large-scale machine learning models, including approaches to improve domain understanding, 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 designing and operating large-scale or high-performance machine learning systems.

Preferred Qualifications:
  • Experience with molecular modalities (e.g., protein sequences, chemical graphs, and structured molecular data) is highly valued but not required.
  • A public portfolio of research or significant contributions to open-source ML libraries.
  • A passion for applying frontier AI to drug discovery.

Onsite presence on our campus is expected in compliance with Roche/Genentech policy.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $168,100 - $312,300. 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
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

Sourced by ZipRecruiter

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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