Machine Learning Engineer

ODAIA; Canada; Remote; CAD 80,000 - 120,000; Full time

Job summary

A remote-first tech company in Canada is seeking a Machine Learning Engineer to develop and optimize advanced models that drive customer value. With a focus on AI-enhanced insights, this role requires strong Python skills and an understanding of statistical methods. Candidates should enjoy collaborating in a values-based culture that emphasizes innovation and continuous learning.

Benefits

Medical & dental benefits

Flexible working hours

Stock option grants

Qualifications

• Strong software engineering practices including documentation and reproducible research.
• Professional experience in developing and monitoring ML models.
• Deep proficiency in Python with libraries such as NumPy and Scikit-learn.

Responsibilities

• Develop and optimize machine learning models.
• Collaborate with data engineers and product teams.
• Evaluate and enhance model performance.

Skills

Developing ML models

Effective communication

Statistical validation

Analytical thinking

Python proficiency

SQL proficiency

Tools

Python

Kubernetes

AWS

SQL

Scikit-learn

XGBoost

PyTorch

Dagster

Job description

Overview

Machine Learning Engineer at ODAIA. ODAIA is a remote-first organization; all positions are WFH with frequent in-person and virtual socials, events, and meetings.

ODAIA works with pharma commercial teams to grow their brands and engage with healthcare professionals (HCPs) at the right time. Our SaaS AI platform turns complex data into personalized insights to help commercial teams understand their customers, predict prescribing behaviors, and bring therapies to patients faster. ODAIAns are focused on reinventing how non-technical people leverage data in their daily lives, solving problems in data, AI, engineering, design, and product to make solutions simple and scalable. Learn more at odaia.ai.

Our mission is to reduce patients’ time to therapy by facilitating meaningful interactions with healthcare providers through human-centric software powered by AI. We value a diverse, ego-free culture with trust, innovation, and ownership, and we emphasize career development and growth opportunities.

What’s on offer

This is an excellent opportunity to join a rapidly growing innovator in a technically challenging and rewarding role. Reporting to the Senior Engineering Development Manager, the Machine Learning Engineer will lead the development and enhancement of machine learning models and analytics that directly drive customer value. You will conduct research, experiment with novel techniques, and deploy solutions that shape predictive insights. You will collaborate with data engineers and product teams to ensure our products leverage AI capabilities and deliver robust, scalable solutions.

What you will do

• Develop, implement, and optimize advanced machine learning models, focusing on predictive modeling, time-series analysis, causal inference, and hierarchical modeling
• Design and build scalable ML pipelines using Python, SQL, Dagster, and Kubernetes to ensure efficient data workflows and robust deployment
• Rigorously evaluate and iteratively enhance model performance using appropriate statistical methods and validation frameworks
• Own end-to-end responsibility for the ML system lifecycle, from problem definition and exploratory analysis to deployment, monitoring, and ongoing iteration
• Clearly articulate complex modeling concepts and analytical outcomes to technical and non-technical stakeholders
• Ensure solutions are scalable, high-quality, and address evolving customer needs and business objectives
• Continuously explore and integrate advances in ML research into ODAIA’s frameworks
• Foster collaboration and knowledge sharing across teams to support a culture of innovation and technical excellence
• Please include a cover letter with your application outlining your relevant experience and interest in this role, and describe a related project and how you would expand on it at ODAIA.

What you bring

• Professional experience in developing, deploying, and monitoring advanced ML models in analytics-intensive or production environments
• Strong software engineering practices: version control, clean maintainable code, documentation, reproducible research, and collaborative workflows
• Experience with cloud-based ML environments (AWS, Azure, or GCP) and modern data science toolchains, including containers and distributed compute
• Deep proficiency in Python with libraries such as NumPy, Scikit-learn, XGBoost, and PyTorch
• Hands-on experience with Dagster and Kubernetes
• Proficiency in SQL and exposure to in-process databases like DuckDB for analytics
• Strong understanding of statistical validation, experimental design, hypothesis testing, and evaluation metrics
• Excellent analytical thinking with ability to communicate data-driven insights to technical and non-technical audiences
• A passion for continuous learning and applying AI advancements to real-world problems
• A GitHub profile or public portfolio is strongly preferred
• If you don’t check every box, we’d still love to see your resume

What we offer

• A values-based culture with Ignite Innovation, Own It, and Stand Together
• Medical & dental benefits with immediate enrollment for full-time employees
• Flexible working hours and time off policies
• Stock option grants

Location

We are remote-first with employees in Canada and the US. Our office hub is in downtown Toronto. We support team collaboration through virtual and in-person sessions and socials.

Employment verification

Conditional offers are subject to background and reference checks.

Diversity, Equity & Inclusion

ODAIA is an equal opportunity employer. We are committed to a diverse workplace and do not discriminate on race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, disability status or any other characteristics protected by law.

Accommodations and accessibility

Accommodations are available upon request. If you need assistance due to a disability or special need during the application or recruitment process, please contact us.