GRAIL

Machine Learning Infrastructure Engineer - #4694

Reposted 15 Hours Ago

Menlo Park CA USA

Hybrid

190K-255K Annually

Senior level

Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech

GRAIL is a healthcare company whose mission is to detect cancer early when it can be cured.

The Role

The role focuses on building and supporting machine learning infrastructure for cancer detection research empowering teams by enhancing their computational capabilities and ensuring software quality and system efficiency.

Summary Generated by Built In

Our mission is to detect cancer early when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative safe and effective technologies that can transform cancer care.

We are a healthcare company pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists engineers and physicians and we are using the power of next-generation sequencing (NGS) population-scale clinical studies and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the bay area of California with locations in Washington D.C. North Carolina and the United Kingdom. It is supported by leading global investors and pharmaceutical technology and healthcare companies.

For more information please visit grail.com

GRAIL is seeking a Staff Machine Learning Infrastructure Engineer for the Research Platform Engineering team. This is a software engineering role charged with building and supporting systems executing machine learning and other analysis workflows on controlled data. You will empower computational biologists data scientists and statisticians in their quest to develop and refine powerful diagnostic products by enabling efficient and flexible exploratory research and classifier development and smoothing the productionization of their work.

The ideal candidate will bring a passion for reliable software infrastructure distributed computing reproducible research and general problem-solving. Due to the highly connected nature of this position the candidate should be a strong communicator with experience working with multidisciplinary teams.

This is a hybrid role based in Menlo Park CA (moving to Sunnyvale CA in Fall 2026). Our current hybrid policy requires on-site presence at least 40% of the time including key in-person collaboration days. At our Menlo Park campus Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.

Responsibilities

Partner with research teams to identify computational pain points or limitations in performing computational experiments and analyses.

Design build and evolve software which usefully extends research capabilities including infrastructure for distributed ML training and evaluation on large controlled genomic datasets.

Develop tools and processes that ensure GxP-compliant testing patchability and inference reproducibility for classifiers that are promoted to production use.

Develop and maintain the research team’s software environment including tools to assess the health performance and cost of the system.

These summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.

Required Qualifications

5+ years of experience developing software supporting machine learning scientific computing or large-scale data processing systems

Strong programming skills in Python and a systems-level language such as Golang (preferred) Java C# C++ etc.

Experience working with modern machine learning frameworks such as PyTorch or TensorFlow

Experience with Distributed Computing paradigms (Spark Ray Flink Beam etc.)

A commitment to high-quality professionally engineered software

Strong communication skills with the ability to help developers from a wide range of software development backgrounds

BS in Computer Science Engineering Bioinformatics or a related field or equivalent practical experience

Preferred Qualifications

Good understanding of container orchestration through Docker and cloud technologies.

Experience with scientific computing tools: NumPy Jupyter R Notebook etc.

Experience with techniques used in modern AI (including LLM) training

Experience with whole genome sequencing whole exome sequencing bisulfite sequencing and/or whole transcriptome sequencing data

Practical experience setting up continuous integration systems along with expertise in at least one build tool (e.g. Bazel (preferred) Buck Maven Gradle)

Familiarity with AWS services best practices and security

Advanced degree (MS or PhD) in computer science engineering bioinformatics or a related discipline

The expected full-time annual base pay scale for this position is $190k-$255k.

This role may be eligible for other forms of compensation including an annual bonus and/or incentives subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical dental and vision coverage; and carefully selected mindfulness programs.

GRAIL is an equal employment opportunity employer and we are committed to building a workplace where every individual can thrive contribute and grow. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex gender gender identity sexual orientation age disability status as a protected veteran or any other class or characteristic protected by applicable federal state and local laws. Additionally GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at [email protected] if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

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The Company

HQ: Menlo Park CA

918 Employees

Year Founded: 2016

What We Do

GRAIL is a healthcare company whose mission is to detect cancer early when it can be cured. GRAIL is using the power of high-intensity sequencing population-scale clinical studies and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology and to develop and commercialize pioneering products.

Why Work With Us

Everything we do is guided by our mission to detect cancer early when it can be cured. It’s the reason we’re here and it’s no small task. The right people make all the difference. That’s why we’re looking for those who strive to share their knowledge contribute their skills inspire each other and commit to something bigger than themselves.

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GRAIL Offices

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

GRAIL has a variety of work types depending on the roles. Some roles are onsite like a lab role some are fully remote like our Galleri Sales Consultant roles. Others are hybrid with 2-3 days onsite. Typically Tuesday and Thursday.

Typical time on-site: 2 days a week