Software Engineer - ML Launchpad

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

Job summary

Verily Health is seeking an ML Software Developer to build scalable AI/ML systems and platforms that empower data scientists to train and deploy models. You will work on integrating diverse data sources, ensuring production-grade software, and advancing an innovative precision health data platform.

Join a cross-functional team delivering reliable, scalable ML pipelines and tools that enable research and care decisions, with opportunities for impact across healthcare data ecosystems in a

Qualifications

• Bachelor's degree in Computer Science or a related field.
• 2+ years of software engineering experience with cloud or ML systems.
• Proficiency in at least one major programming language (Python/Go/Java).
• Proven track record of delivering production-quality software in a cloud environment.
• Direct experience with MLOps principles and tools (VertexAI, GKE, notebooks).

Responsibilities

• Partner with Data Scientists to translate research models into scalable systems.
• Build the platform components that enable data scientists to train and deploy models.
• Ensure production readiness with high-quality, reliable AI/ML software solutions.
• Uphold engineering excellence through code reviews and mentoring.
• Maintain operational stability by troubleshooting and resolving complex issues in ML systems.

Skills

Python

Go

Java

MLOps concepts

Education

Bachelor's degree in Computer Science or related field

Tools

VertexAI

GKE

Notebooks

Terraform

GitHub Actions

Spark

BigQuery

FHIR

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

• 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].

Build What's Vital.

At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology - united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health. Fulfilling our precision health purpose starts with the health of our Veeps, which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being. Our culture reflects the behaviors that stem from living our values every day in how we Innovate Healthcare and Technology, Gain Velocity as One Verily, and Respect Individuals. As One Verily, we uphold our collective accountability to sustain this culture and to create an environment where all Veeps feel included, feel a sense of belonging, and have opportunities to grow.

If this sounds exciting to you, we would love to hear from you. You can find out more about our company culture on our LinkedIn Company Page.