Senior Software Engineer, Machine Learning

Key Skills

Aartificial intelligence, Continuous Integration & Continuous Delivery - CI/CD, Github, Java Programming, Machine learning techniques, Python Programming, Terraform

Job Description

The Verily precision health platform is the comprehensive and patient-centered engine that accelerates the evidence generation needed for safer, more effective treatments and care decisions, helping people live longer, healthier lives. Our cloud-first approach, advanced analytics and AI expertise enable us to collect, organize, enrich and activate petabytes of data aligned with our customers' unique needs and delivered at just the right time. As a member of the Precision Health Platform engineering organization, you will build modular, composable, and interoperable platform components including development and maintenance of software for ML applications (data science, computer vision and LLMs).

Our team is responsible for integrating and combining data from a variety of sources (e.g. EHR, ePROs, Digital Biomarkers, devices), building ML pipelines in order to provide curated data sets with ML insights that can contribute to clinical and research goals. In addition to research we are building AI tools for our care products to improve patient experience. Be at the forefront of innovation and tackle exciting challenges within a collaborative and dynamic work environment.

Responsibilities

• Architect, design, and develop high-quality AI/ML software solutions to meet project requirements, ensuring scalability and performance.
• Collaborate with cross-functional teams and technical leads to define and refine technical specifications, taking ownership of design oversight, scoping and project deliverables.
• Mentor and coach junior engineers, fostering a culture of learning and continuous improvement within the subteam.
• Participate in code reviews to maintain code quality and uphold best practices, promoting a culture of excellence.
• Investigate, troubleshoot, and resolve complex technical issues to ensure the reliability and stability of our systems.

Qualifications

Minimum Qualifications

• Bachelor's degree in Computer Science or a related field.
• 5+ years of experience in SW, cloud engineering or ML engineering with a BS degree (3+ years of experience with an MS degree).
• Proficiency in at least one major programming language (e.g., Python, Java, Go).
• Proven track record of delivering high-impact, production-quality software in the cloud.
• Experience with ML tools and platforms such as notebooks, VertexAI.

Preferred Qualifications

• Experience with CI/CD and Infrastructure tools like Terraform, GitHub.
• Proficiency in Go or Python.
• Experience in building model training and deployment environments in the cloud.

The US base salary range for this full-time position is $148,000 - $210,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.