Staff Machine Learning Platform Engineer Remote

Profile

As a Senior Machine Learning Research Engineer, you will work on Freenome’s ML research platform, developing and deploying ML pipelines. As part of an interdisciplinary R&D team, you will work in close collaboration with Computational Biologists, Machine Learning Scientists and Software Engineers. You will develop cutting edge solutions at the intersection of machine learning, genetic sequencing technology, and distributed systems. These contributions will drive our mission to diagnose cancer at its most actionable and early stages.

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How you’ll contribute:

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• Work at the intersection of machine learning research, software engineering and biological data
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• Lead the development of Freenome’s ML research framework and internal tools
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• Participate in cutting edge research in statistical modeling and inference of biological problems (including cancer research, genomics, computational biology/bioinformatics, immunology, therapeutics, and more)
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• Build for significant growth and scaling challenges as we transition from research to product development
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• Engineer robust and reproducible data pipelines that enable cutting edge liquid biopsy research
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• Improve the reliability and scalability of our ML platform as it grows
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• Develop software and workflows that support a long term vision for ML research and production
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• Enable data driven science discoveries in biology and healthcare
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What you’ll bring: 

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• 8 years of experience with production infrastructure, automation, and software engineering
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• B.S. or M.S. in computer science, a related technical field, or comparable experience
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• Expertise building and launching large-scale ML frameworks that supports the experimental needs of a research team
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• Experience in analyzing and troubleshooting data management systems
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• Expertise in software design and development, especially in Python
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• Thorough understanding of machine learning fundamentals, such as cross-validation, hyper-parameter search, model optimization and bias-variance tradeoff.
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• Experience building and launching projects in a production software environment, including use of automated testing, version control, and deployment systems
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• A systematic problem-solving approach, effective communication skills and a strong desire to own and drive your work
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Nice to Haves:

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• Machine learning and data science tools, such as Sklearn, TensorFlow, pyTorch, Jupyter, or Kubeflow
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• Experience with containerized cloud computing environments, such as Docker in GCP or AWS
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• Data pipelines, such as Metaflow, Flyte, Kafka, Spark, Airflow, Argo, Hadoop, or Flink
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• Experience with high performance programming languages such as C/C , Go, or Rust
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• Job orchestration and distributed systems, such as Kubernetes, Terraform or Ansible
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• Genomics or bioinformatics background 
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• Large-scale and/or high-performance storage systems, such as PostgreSQL, MySQL, Redis, HBase, Spanner, or Cassandra
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Freenome has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees. As a condition of employment, our employees working on-site are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

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About Freenome

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Freenome is on a mission to empower everyone with the tools they need to detect, treat, and ultimately prevent cancer.

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We have pioneered the most comprehensive multiomics platform for early cancer detection through a routine blood draw.  By combining deep expertise in molecular biology with advanced computational biology and machine learning techniques to recognize disease-associated patterns among billions of circulating, cell-free biomarkers, we are developing simple and accurate blood tests for early cancer detection and integrating the actionable insights into health systems to operationalize a machine learning feedback loop between care and science. 

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Our recent $270 Million Series C brings our financing to over $500 million from investors, including;  Bain Capital, Perceptive Advisors, RA Capital, Polaris Partners, Andreessen Horowitz, funds and accounts advised by T. Rowe Price Associates, Inc., GV (formerly Google Ventures), Roche Venture Fund, Kaiser Permanente Ventures, American Cancer Society’s BrightEdge Ventures, Data Collective Venture Capital, Novartis and Verily Life Sciences. 

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Our Science

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Freenome is building technology to advance the understanding of cancer through multiple analytes derived from blood. These signals include cell-free DNA, methylation of cell-free DNA, cell-free RNA, circulating proteins, and immune profiling derived from thousands of prospective samples. By developing novel statistical learning methods and applying them to integrate various -omics datasets, Freenome is a leader in modeling specific biological mechanisms to capture disease-dependent signatures, including gene expression, immune response, tumor burden, the tissue of origin, and 3D chromatin structure. 

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By building comprehensive discovery datasets and modeling critical biological systems, Freenome is learning what biological changes are present within the blood between a variety of different disease states, including cancer, autoimmune disorders, infections, drug response, and aging. The synthesis of Freenome’s datasets, cross-functional technical expertise, and audacious mission to discover biological truth, we seek to improve the lives of millions through early detection and early treatment of disease.  

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Our Culture

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Freenomers are technical, creative, visionary, grounded, empathetic, and passionate. We build teams around divergent expertise, allowing us to solve problems and ascertain opportunities in unique ways. Freenomers are some of the most talented experts in their fields, joining together to advance healthcare, one breakthrough at a time. 

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We value empathy, integrity, and trust in one another, and we respect the diverse perspectives of our colleagues and those we serve.  We assume positive intent and give each other the benefit of the doubt with the firm belief that we are a team working toward the same objectives.  We believe in empowering and supporting each other in a collaborative and dynamic environment. 

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What does a successful person look like at Freenome?

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Those who thrive at Freenome prioritize, manage, and execute their own goals with ownership and alignment with those of the company. They embrace our values of empathy, integrity, striving for greatness, servant leadership, trust, and holding themselves and their team accountable to these values. They crave collaboration with brilliant minds from disparate fields of study and believe that hiring and mentorship are fundamental to our success. Above all, they welcome and provide constructive feedback and criticism, trusting in others’ good intentions, and being secure in knowing that embracing mistakes is the best way to learn and grow. For those who pursue challenges, understudied problems, and want the opportunity to see their work impact the lives of millions of people affected by cancer every year, there’s no better place to be than Freenome.

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Freenome is proud to be an equal opportunity employer and we value diversity. Freenome does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

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