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Staff Machine Learning Scientist Jobs (NOW HIRING)

BigHat

Machine Learning Scientist

San Mateo, CA · On-site

$150 - $200/hr

Machine Learning Scientist Department: DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Description The role: We are seeking a creative, ambitious Machine ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production machine learning models, particularly reinforcement ...

Remitly Inc.

Staff Machine Learning Engineer

Seattle, WA · On-site

$200 - $250/hr

## Staff Machine Learning EngineerApplylocations: Seattle, Washington United Statestime type: Full ... Partner with data scientists, product owners, and engineers across verticals to turn prototypes ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

For more information about Spotter, please visit Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production ...

MyOme

Machine Learning Scientist

San Francisco, CA · On-site

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 ...

BetterHelp

Staff Machine Learning Engineer

OR · On-site +1

As a Staff Machine Learning Engineer at BetterHelp, you'll join a diverse team of licensed ... Partner with data scientists to troubleshoot and optimize complex data pipelines * Work with ...

BetterHelp

Staff Machine Learning Engineer

As a Staff Machine Learning Engineer at BetterHelp, you'll join a diverse team of licensed ... Partner with data scientists to troubleshoot and optimize complex data pipelines * Work with ...

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 ...

Adobe, Inc.

Staff Machine Learning Engineer

San Jose, CA · On-site

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching ... MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or ...

Intuit

Staff Machine Learning Engineer

Mountain View, CA · On-site

$202K - $274K/yr

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a ... Work with data scientists to create and refine features from the underlying data and build ...

Menlo Ventures

Machine Learning Scientist

San Francisco, CA · On-site

$200 - $250/hr

... scientist ratio of >100x. Check out our Suno version of the job here! What You'll Need * 5+ years ... machine learning models * Track record showing independent ownership of entire research projects ...

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Staff Machine Learning Scientist information

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

As of Sep 9, 2026, the average yearly pay for staff machine learning scientist in the United States is $85,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $111,500.00 per year, depending on experience, location, and employer.

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Machine Learning Scientist

San Mateo, CA • On-site

BigHat
See more jobs at BigHatexternal

$150 - $200/hr

Other

Posted 4 days ago

Job description

Machine Learning Scientist

Department: DS/ML (Data Science/Machine Learning)

Employment Type: Full Time

Location: San Mateo, CA

Description

The role: We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the state of the art in ML-driven therapeutic antibody design.

At BigHat Biosciences our full-stack antibody drug development platform uses AI/ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models. This makes development of complex, net-gen therapeutics ‘trivially parallelizable’, at a pace which only accelerates as we develop better ML tooling.

You’re not interested in just git-cloning the latest NeurIPS pub and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient need, and a curiosity about the underlying biology, you’ll apply your top-tier ML skillset to refine and expand this state of the art protein engineering platform. Success will mean not only hands-on methods development, but actively participating in the application of our platform to the accelerated design of new drugs for devastating diseases.

Key Responsibilities
  • Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
  • Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
  • Develop, refine, and deploy agentic and LLM-driven optimization methods to further automate and accelerate our design-build-test loop.
  • Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
  • Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models and methods.
  • Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. - every therapeutics program at BigHat is heavily interdisciplinary.
Skills Knowledge and Expertise
  • PhD in ML/CS/EE or relevant scientific discipline, hands on experience developing and applying novel ML methods and a strong quantitative background.
  • Strong competency in Python, familiarity with PyTorch (even without LLMs!) and experience with modern software engineering best practices, including not just agentic/LLM-assisted coding but testing, CI/CD, etc.
  • Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
  • Energy and ambition - ready to dive into a fast-paced environment and execute across multiple projects.
  • Familiarity with the current state-of-the-art in ML-driven protein engineering
  • Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, experience training and deploying models on AWS, and publications at major ML conferences.
Total Rewards

The salary estimated for this position is $150,000 - $200,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.

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