Software Engineer - ML Launchpad

Verily Health; Southwestern Ontario; On-site; CAD 95,000 - 106,000; Full time

Job summary

Verily Health is a data platform and technology company powering AI-enabled precision health solutions. We are seeking an ML Software Developer to build scalable ML pipelines and production-grade systems leveraging diverse data sources including EHRs and claims data.

You will work with a cross-functional team to deploy models, develop reusable tools, and ensure reliability and quality across multi-modal healthcare data platforms.

Qualifications

• Bachelor's degree in CS or related field.
• 2+ years of software engineering, with cloud or ML systems focus.
• Proficiency in Python, Java or Go and production software delivery.

Responsibilities

• Partner with data scientists to translate models into scalable systems.
• Design, develop, and maintain core platform components for ML workflows.
• Ensure production-ready, reliable AI/ML software solutions.
• Participate in code reviews and mentor junior engineers.
• Investigate and resolve complex issues to maintain system stability.

Skills

Python

Java

Go

Cloud ML systems

MLOps concepts

Education

Bachelor's degree in Computer Science or related field

Tools

VertexAI

GKE

Notebooks

Job description

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 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

• 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

• Bachelor's 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 $94,500-$106,000 + 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 team’s review.

If you have questions about our use of AI in recruitment or require an accommodation, please contact [e-mail].