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Added 47 mins ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Architect and enable Data Management/MLOps platforms and enterprise hybrid-cloud foundations, including landing zones, access controls, policy enforcement, connectivity, and governed…
Added 3 hours ago
HR
Technical Safety Specialist
Hitachi Rail
Burnaby, BC
- Full-time
The Safety Engineering department is responsible for the safety of the products and project solutions developed and deployed by the Urban Rail Signaling business line and compliance to…
Added 3 hours ago
RT
Information Technology Product Manager
Rang Technologies Inc
Toronto, ON
- $95 to $100 CAD / hour
- Contract
Demonstrated ability to lead technical integrations, architect practical solutions, and manage vendor relationships.
Added 3 hours ago
M
Information Technology Product Manager
Mindlance
Toronto, ON
- $80 to $85 CAD / hour
- Contract
Demonstrated ability to lead technical integrations, architect practical solutions, and manage vendor relationships.
Added 3 hours ago
HR
Architect, Data Communication System
Hitachi Rail
Toronto, ON
- Full-time
…Manager and reviewed/approved in collaboration with the DCS Chief Architect and/or Manager. The systems engineer collaborates with a team of engineers to understand and define the project…
Added 3 hours ago
HR
Technical Specialist, Senior - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
…functional areas, leveraging advanced expertise to define software solutions, drive architectural consistency, and support system performance, safety, and reliability objectives. Working…
Added 3 hours ago
N
Software Engineer - AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries…
Added 3 hours ago
N
Member of Technical Staff 4 - AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries…
Added 3 hours ago
N
Software Engineer - AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries…
Added 4 hours ago
DT
Principal Consultant - AI Infrastructure Services
Dell Technologies
Toronto, ON
- Full-time
Advanced degree preferred (e.g., MBA, MS, MEng) and architect-level certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert, TOGAF) strongly desired
Added 4 hours ago
DT
Principal Consultant - AI Infrastructure Services
Dell Technologies
Montreal, QC
- Full-time
Advanced degree preferred (e.g., MBA, MS, MEng) and architect-level certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert, TOGAF) strongly desired
Added 5 hours ago
C
Financial Sales Specialist
Cisco
Vancouver, BC
- Full-time
Deal Structuring: Partner closely with Cisco Inc. Finance and the end user customer to architect creative, customized payment solutions that address specific customer business outcomes…
Added 7 hours ago
I
Senior Consultant - ServiceNow HRSD
Infosys
Mississauga, ON
- $92,740 to $105,007 CAD / year
- Full-time
…design, providing guidance and consulting on client facing solutions leveraging the ServiceNow platform. This position will be focused on integrations between ServiceNow and the other…
Added 7 hours ago
HR
Technical Safety Specialist
Hitachi Rail
Toronto, ON
- Full-time
The Safety Engineering department is responsible for the safety of the products and project solutions developed and deployed by the Urban Rail Signaling business line and compliance to…
Added 7 hours ago
I
Senior Consultant - ServiceNow CSM
Infosys
Mississauga, ON
- $92,740 to $105,007 CAD / year
- Full-time
…responsible for providing guidance and consulting on client facing solutions leveraging the ServiceNow platform. The Solution Architect contributes to the structuring and implementation of…
Added 7 hours ago
I
Senior Consultant - ServiceNow HRSD
Infosys
Calgary, AB
- Full-time
…design, providing guidance and consulting on client facing solutions leveraging the ServiceNow platform. This position will be focused on integrations between ServiceNow and the other…
Added 7 hours ago
IS
Solutions Architect (Client Onboarding)
Iris Software Inc.
Toronto, ON
- Contract
Iris's client, the largest bank in the Canada is looking to hire Solutions Architect (Client Onboarding)
Added 7 hours ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience building data ingestion and streaming solutions using Kafka and Hadoop ecosystem tools.
Added 7 hours ago
I
Senior Consultant - ServiceNow CSM
Infosys
Calgary, AB
- Full-time
…responsible for providing guidance and consulting on client facing solutions leveraging the ServiceNow platform. The Solution Architect contributes to the structuring and implementation of…
Added 7 hours ago
Infrastructure Solutions Group Channel Sales Engineer
Lenovo
Markham, ON
The Infrastructure Solutions Group Solution Architect/Sales Engineer helps drive channel partner sales for Lenovo's Data Center product line as part of the Lenovo channel technical sales…
Added 7 hours ago
TL
Senior Legal Counsel
Toronto Lawyers Association
Toronto, ON
- Full-time
Architect the Future: Design, draft, and negotiate complex, high-value SaaS agreements, Master Service Agreements, vendor contracts, NDAs, and partnership deals.
Added 8 hours ago
V
Software Engineer - ML Launchpad
Verily
Waterloo, ON
- Full-time
Ensure Production Readiness: Architect and develop high-quality, reliable, and performant AI/ML software solutions that meet project requirements.
Added 12 hours ago
C
Lead Full Stack Developer, Vice President
Citi
Mississauga, ON
- Full-time
Architect end-to-end solutions for complex business problems, applying established design patterns and engineering best practices to deliver robust, production-ready systems.
Added 12 hours ago
ES
Senior ServiceNow Architect
EPAM Systems
Canada
- Full-time
We are seeking an experienced and strategic ServiceNow Architect to lead the design, implementation, and scaling of our enterprise ServiceNow platform. In this role, you will bridge the gap…
Added 12 hours ago
MM
Technical Architect
Mitchell Martin Inc.
Toronto, ON
- $39.2 to $56 USD / hour
- Other
Join our team as a Technical Architect in the dynamic setting of Toronto, ON. This contract position involves designing and architecting enterprise applications, focusing on application…

Verily

Software Engineer - ML Launchpad

Waterloo, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Experience: 2+ years of experience in software engineering, with a focus on cloud or machine learning systems.
Posting language: English
Posted: Oct 12, 2026

Original 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 pact@verily.com.

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More about this job

Responsibilities

Collaborate with data scientists to translate research models into scalable, production-grade systems. Design and maintain core platform components while ensuring the reliability and performance of machine learning pipelines.

Requirements

Requires a bachelor's degree in Computer Science or a related field and at least 2 years of software engineering experience. Candidates must have a proven track record in cloud environments and proficiency in MLOps principles.

Skills

Python
Java
Go
Machine Learning
MLOps
VertexAI
GKE
Terraform
GitHub
TensorFlow
PyTorch
Spark
Beam
FHIR
Data Warehousing
Cloud Computing

Benefits

Bonus
Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
ML Launchpad
Verily Health
AI
Precision Health
Data Science
EHR
RWD
Machine Learning
MLOps
Python
Java
Go
VertexAI
GKE
Terraform
GitHub
TensorFlow
PyTorch
Spark
Beam
FHIR
Dynamo DB
Document DB
Mongo DB
Azure Data Lake
Redshift
Google Big Query
Cloud
Distributed Systems

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