We seek a highly motivated and dynamic Senior Software Engineer to join our Machine Learning (ML) Engineering and MLOps team. This position is ideal for an engineer passionate about building and deploying scalable ML systems. The successful candidate will work closely with our experienced engineers and researchers to design, build, and maintain the infrastructure and tools necessary for rapid ML development and deployment. You will gain hands-on experience with the latest technologies in machine learning and cloud computing, contributing to projects that impact our products and services, and ultimately, move the needle on heart disease.

Required Qualifications Bachelor's/Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 5+ years of relevant experience. Strong foundation in software engineering principles and practices, with proficiency in at least one programming language (e.g., Python, C++). Familiarity with machine learning concepts and frameworks (e.g., PyTorch, Scikit-learn). Experience with machine learning model deployment. Experience with cloud services (AWS, GCP, Azure) Knowledge of containerization and orchestration technologies (e.g., Docker). Understanding of data structures, algorithms, and software design principles. Strong problem-solving skills and the ability to work independently as well as collaboratively in a team environment. Excellent communication and interpersonal skills.

How You Stand Out

Experience with continuous integration and continuous deployment (CI/CD) pipelines and familiarity with related tools (e.g., Jenkins, Github Actions). Experience with data warehouses (e.g., Redshift / Snowflake / Databricks). Experience with distributed computing frameworks (e.g., Ray/Spark/Dask). A keen interest in staying up-to-date with the latest trends and advancements in machine learning, artificial intelligence, and cloud computing. Demonstrated initiative and creativity in solving complex problems. Blog (or other media) communicating the candidate’s data science or engineering projects, ideas, or first-principles thinking.

A reasonable estimate of the base salary compensation range is $133,859 to $175,479 (for all locations outside San Francisco Bay Area) and $140,608 to $200,034 (for San Francisco Bay Area), cash bonus, and stock options.