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Software Engineer ML Launchpad

Verily


Job Location:

Waterloo - Canada

Yearly Salary: CAD 94500 - 106000
Posted: 14 October 2026 (Yesterday)
Application Deadline: 11 January 2027
Vacancies: 1 Vacancy

Job Summary

Who We Are


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 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
  • 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.

  • Maintain Operational Stability: Investigate troubleshoot and resolve complex technical issues to ensure the reliability and stability of our machine learning systems.

Qualifications

Minimum Qualifications

  • Bachelors degree in Computer Science or a related field.

  • 2 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 GKE notebooks).

Preferred Qualifications

  • Familiarity 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).

  • Experience with Database - Preferably FHIR . Exposure to other databases (such as Dynamo DB Document DB Mongo DB) are also desired.

  • Data Warehouses - Such as Azure Data Lake Redshift Google Big Query.

The Canada base salary range for this full-time position is CAD $94500-$106000 bonus equity benefits. Our salary ranges are determined by role level and location. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training.

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


Qualified candidates must be legally authorized to work in Canada. Verily is currently unable to offer employment-based visa or work permit sponsorship for this position.

AI and Automated Decision-Making Notice

We use artificial intelligence (AI) tools to help screen and/or assess applications for this role. These tools analyze information you provide (for example your résumé or answers to application questions) to support our hiring teams review.


If you have questions about our use of AI in recruitment or require an accommodation please contact


Required Experience:

IC


About Company

Company Logo

Verily, an Alphabet company, is building the future of precision health. Our AI-native platform transforms complex health data for research, care, and better patient outcomes.

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