Verily
Software Developer III, ML Launchpad
Waterloo, Ontario · Mid · Full-time
No sponsorship$121k-$136kDetected 31 days ago
PythonJavaGoCode ReviewMongoDBRedshiftAzureTerraformCI/CDMachine LearningTensorFlowSparkData ScienceMLOpsEHR/EMRResearch
About the role
- Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
- 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.
- Be at the forefront of innovation and tackle exciting challenges within a collaborative and dynamic work environment.
Responsibilities
- Partner 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.
- Collaborate closely with data scientists to translate research models and prototypes into scalable, production-grade systems.
- Architect and develop high-quality, reliable, and performant AI/ML software solutions that meet project requirements.
- Participate in code reviews to maintain code quality, mentor junior engineers, and champion software engineering best practices within the team.
- 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.
- You will develop and deploy models that enable scalable curation of RWD.
- In addition to research we are building AI tools for our care products to improve patient experience.
Requirements
- Bachelor's degree in Computer Science or a related field.
- 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, GKE, notebooks).
- Minimum Qualifications
- 2+ years of experience in software engineering, with a focus on cloud or machine learning systems.
Nice to have
- Experience with CI/CD and Infrastructure as Code tools like Terraform, GitHub.
- Proficiency in Go or Python, especially within the context of building distributed systems.
- Familiarity with data processing technologies and concepts (e.g., Spark, Beam,).
- Experience with Database - Preferably FHIR.
- Data Warehouses - Such as Azure Data Lake, Redshift, Google Big Query.
- Verily is an equal opportunity employer.
- For our EEO Policy Statement, please click here.
- If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Compensation
- The Canada base salary range for this full-time position is CAD $120,500-$136,000 + bonus + equity + benefits.
Benefits
- Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities.
- 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 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.
- Maintain Operational Stability: Investigate, troubleshoot, and resolve complex technical issues to ensure the reliability and stability of our machine learning systems.
Company info
- Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
- Description
- 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.
- 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.
- 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.
Visa & Work Authorization
- Qualified candidates must be legally authorized to work in Canada.
This listing is sourced directly from Verily's careers page and normalized into a canonical job model.