[Remote] Senior Machine Learning Engineer at Freenome

Remote

Freenome Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotech, Healthcare, Artificial IntelligenceIndustries

Requirements

  • Strong knowledge in designing and building deep learning (DL) pipelines
  • Expertise in creating reliable, scalable artificial intelligence/machine learning (AI/ML) systems in a cloud environment
  • Experience with distributed computing platforms
  • Understanding of machine learning and related technologies
  • Ability to stay up to date with the latest advancements in AI, ML, and related technologies
  • Experience with profiling, optimization, and benchmarking
  • Experience with debugging distributed systems
  • Ability to communicate effectively between engineering and scientific teams

Responsibilities

  • Implement and refine DL pipelines on distributed computing platforms
  • Collaborate with ML scientists and software engineers to understand challenges and requirements
  • Continuously monitor, evaluate, and optimize DL model training pipelines for performance and scalability
  • Develop and maintain robust and reproducible DL pipelines
  • Drive performance improvements across the stack through profiling, optimization, and benchmarking
  • Implement efficient caching solutions
  • Act as a bridge facilitating communication between the engineering and scientific teams
  • Document and share best practices

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningArtificial IntelligenceCloud ComputingData AnalysisPipeline Development

Questions & Answers

Common questions about this position

Is this role remote or hybrid?

This can be a hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What are the key skills required for this Senior Machine Learning Engineer role?

The role requires strong knowledge in designing and building deep learning (DL) pipelines, expertise in creating reliable, scalable AI/ML systems in a cloud environment, and experience with distributed DL pipelines, optimizing hardware utilization, and model optimizations.

What is the salary or compensation for this position?

This information is not specified in the job description.

What is the company culture like at Freenome?

Freenome has a high-performing culture of respect and cross-collaboration, with Freenomers being determined, mission-driven, results-oriented employees fueled by the opportunity to change the landscape of cancer and impact patients’ lives.

What makes a strong candidate for this role?

A strong candidate has expertise in deep learning pipelines, scalable AI/ML systems in the cloud, and distributed computing, with the ability to collaborate closely with ML scientists, computational biologists, and software engineers in an interdisciplinary R&D team.

Freenome

Biotechnology company for early cancer detection

About Freenome

Freenome focuses on improving cancer detection through advanced blood tests. The company uses a multiomics approach, analyzing various biological data types, including genomics and proteomics, to find cancer markers in blood samples. This method allows for non-invasive early detection of cancer, which is crucial for effective treatment. Freenome differentiates itself from competitors by its unique combination of data analysis techniques and its commitment to clinical trials and research collaborations. The company's goal is to enhance cancer diagnostics and make early detection accessible to healthcare providers and patients, ultimately aiming to save lives through timely intervention.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$1,032.6MTotal Funding
LATE_VCCompany Stage
Biotechnology, HealthcareIndustries
201-500Employees

Benefits

Competitive market-based salaries
Annual bonus opportunities
Relocation packages
Medical, dental, & vision coverage
401k
Wellness programs
Equity
PTO

Risks

Employee layoffs may affect morale and innovation efforts.
Integration of Oncimmune Ltd. could divert focus from core projects.
Competitive landscape in cancer detection may impact Freenome's market share.

Differentiation

Freenome uses a unique multiomics approach for early cancer detection.
The company focuses on non-invasive blood tests for cancer screening.
Freenome's platform designs personalized health conditions based on cell-free genome analysis.

Upsides

Recent $254 million funding boosts clinical programs and platform expansion.
Partnership with Walgreens enhances clinical trial diversity and patient recruitment.
PROACT LUNG study positions Freenome as a leader in lung cancer diagnostics.

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