Machine Learning Engineer (Platform)
ArteraFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
This can be a hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.
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.
This information is not specified in the job description.
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.
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.
Biotechnology company for early cancer detection
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.