Job Description

Who We Are

Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
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 an ML Software Developer at Verily you will be supporting our core mission to drive innovation in evidence generation for research and care decisions. We are building new types of longitudinal datasets that have foundations of RWD sources, such as EHRs (electronic health records) and claims data, and are augmented with prospective data collection. You will develop and deploy models that enable scalable curation of RWD. This will include multi-source integrations and reconciliations, creating derived features from the source data (e.g., abstraction of clinical concepts from unstructured data), and facilitating data quality assessments. You will work with a diverse cross-functional team to build reusable and scalable tools, systems, and products that unlock information from multi-modal structured and unstructured healthcare and life science data.
Team
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.
ResponsibilitiesPartner with Data Scientists: Collaborate closely with data scientists to translate research models and prototypes into scalable, production-grade systems. Build the Platform: Design, develop, and maintain the core platform components, libraries, and tools that enable our data scientists to efficiently build, train, and deploy models. Ensure Production Readiness: Architect and develop high-quality, reliable, and performant AI/ML software solutions that meet project requirements. Uphold Engineering Excellence: Participate in code reviews to maintain code quality, mentor junior engineers, and champion software engineering best practices within the team. Maintain Operational Stability: Investigate, troubleshoot, and resolve complex technical issues to ensure the reliability and stability of our machine learning systems.

Qualifications
Minimum QualificationsBachelor's degree in Computer Science or a related field. 3+ years of experience in software engineering, with a focus on cloud or machine learning systems. Proficiency in at least one major programming language (e.g., Python, Java, Go). Proven track record of delivering high-impact, production-quality software in a cloud environment. Direct experience with MLOps principles and tools for model training and deployment (e.g., VertexAI, Kubeflow, notebooks).

Preferred QualificationsExperience with CI/CD and Infrastructure as Code tools like Terraform, GitHub. Proficiency in Go or Python, especially within the context of building distributed systems. Experience in a production environment with machine learning frameworks like TensorFlow or PyTorch. Familiarity with data processing technologies and concepts (e.g., Spark, Beam, data warehousing).

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in Canada.
Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.