Senior Machine Learning Engineer

🔥 22 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $161.9k - $227.3k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Freenome

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🏥 Healthcare

🧬 Biotechnology

🤖 Artificial Intelligence

💰 $290M Corporate Round on 2022-01

Healthcare • Biotechnology • Artificial Intelligence

Freenome is a company focused on advancing early cancer detection through the integration of scientific innovation and artificial intelligence. Their platform uses multiomics technology to identify cancer at its most treatable stages, enabling early intervention. The company emphasizes a standard blood draw method for ease of use, aiming to redefine cancer screening. Freenome is driven by a robust clinical research program and is committed to discovering, developing, and validating early cancer detection tests, employing a multidisciplinary team dedicated to pushing the boundaries of what's possible in cancer diagnostics.

📋 Description

• Implement and refine deep learning pipelines on distributed computing platforms for model training, data handling, model management, and inference • Collaborate with machine learning scientists and software engineers to align development pipelines with scientific goals and operational needs • Monitor, evaluate, and optimize deep learning model training pipelines for performance and scalability • Develop and maintain robust, reproducible deep learning pipelines • Improve stack performance through profiling, optimization, benchmarking, caching, and distributed-systems debugging • Facilitate communication between engineering and scientific teams • Document and share best practices to support learning and continuous improvement

🎯 Requirements

• MS or equivalent experience in a relevant quantitative field such as Computer Science, Statistics, Mathematics, or Software Engineering, with emphasis on AI/ML theory and/or practical development • 5+ years of post-MS industry experience developing AI/ML software engineering pipelines • Proficiency in a general-purpose programming language such as Python, Java, Julia, C, or C++ • Strong knowledge of machine learning and deep learning fundamentals • Hands-on experience with PyTorch, TensorFlow, Jax, or Scikit-learn • In-depth knowledge of scalable and distributed computing platforms such as Ray or DeepSpeed • Experience integrating ML developer tools such as TensorBoard, Wandb, or MLflow • Experience with AWS, Google Cloud, or Azure for deploying and managing AI/ML models and pipelines • Understanding of Docker and Kubernetes • Track record developing and optimizing workflows for deep learning models, LLMs, or similar high-volume, high-complexity problems • Experience managing large datasets, including HDFS or Parquet on object storage, PyArrow, and Spark • Proficiency with Git and CI/CD practices • Expertise building and launching large-scale ML frameworks in a scientific environment • Ability to work effectively with cross-functional teams and communicate across disciplines

🏖️ Benefits

• Equity • Cash bonuses • Full range of medical benefits • Full range of financial benefits • Other benefits depending on the position offered • Equal-opportunity employer valuing diversity