Machine Learning Engineer

Machine Learning Engineer
ABOUT ODAIA
ODAIA noun
o·da·ia | \ 'oh-day-yeah \
An Ancient Greek word referring to “tools of the trade.”
ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually. 
ODAIA works with pharma commercial teams to grow their brands and engage with the right healthcare professionals (HCPs) at the right time. ODAIA's SaaS AI platform turns complex data into personalized insights, enabling commercial teams to understand their customers - (HCPs), predict prescribing behaviors and make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
To learn more visit  odaia.ai.
OUR MISSION
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. 
We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.
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 cutting-edge machine learning models and advanced analytics that directly drive customer value. Leveraging deep expertise in ML algorithms and large-scale data modeling, you will conduct research, experiment with novel techniques, and deploy innovative solutions that shape our predictive insights. You'll collaborate closely with data engineers and product teams across the organization to ensure our products leverage best-in-class AI capabilities, delivering robust, scalable, and impactful 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 machine learning 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 both technical colleagues and non-technical business stakeholders.
• Ensure solutions delivered are scalable, high-quality, and promptly address evolving customer needs and business objectives
• Continuously explore and integrate advances in ML research and statistical methodologies into ODAIA’s frameworks
• Foster collaboration and knowledge sharing across teams, contributing to a culture of innovation and technical excellence
• Please include a cover letter with your application outlining your relevant experience and interest in this role, you can describe a project you’ve worked on that relates to one of the “What you bring” or “What you will do” points, and share how you’d expand on it here at ODAIA

WHAT YOU BRING

• Professional experience in developing, deploying and monitoring advanced machine learning models, particularly in analytics-intensive or production environments
• Strong foundation in software engineering best practices, including version control, clean and maintainable code, documentation, reproducible research, and collaborative development workflows
• Practical experience with cloud-based ML environments (AWS, Azure, or GCP) and modern data science toolchains, including containerized and distributed compute
• Deep proficiency in Python, with extensive experience using statistical and ML libraries such as NumPy, Scikit-learn, XGBoost, and PyTorch
• Hands-on experience with workflow orchestration tools (e.g., Dagster) and container orchestration platforms (e.g., Kubernetes)
• Proficiency in SQL and exposure to modern in-process databases like DuckDB for efficient analytics and distributed computing
• Solid understanding of statistical validation methods, experimental design, hypothesis testing, and rigorous model evaluation metrics
• Excellent analytical thinking skills, combined with the ability to clearly communicate data-driven insights and recommendations to both technical and non-technical stakeholders
• A passion for continuous learning and applying the latest advancements in AI to solve real-world business problems. We value thoughtful use of AI tools for coding and experimentation, while emphasizing deep understanding of algorithms, fundamentals, and system design
• A GitHub profile or public portfolio showcasing your projects, contributions, or research is strongly preferred

WHAT WE OFFER

• A strong, positive values based culture, we Ignite Innovation, Own It and Stand Together
• Medical & dental benefits - with immediate enrollment for full-time, permanent employees
• Flexible working hours, focusing on what we achieve and not the number of hours we clock
• Flexible time off policies 
• Stock option grants

LOCATION
We are a remote first company with employees in both Canada and the US. Our office hub is located downtown Toronto.  Team building, communication and social connectivity are important and we support this with virtual and in-person collaborative work sessions, team meetings and socials.
EMPLOYMENT VERIFICATION
Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.
JOB PROCESS & INTERVIEW DISCLOSURE 
ODAIA does not use artificial intelligence (AI) to review applications, filter or analyze resumes. 
Our recruitment team may use an AI-powered meeting assistant to record and transcribe interviews for note-taking purposes only. This tool helps our recruiters to be fully present during conversations with candidates who provide consent to this tool being used during an interview. This tool is used in compliance with privacy and employment laws across Canada and the U.S.
We respect the time candidates invest into participating in our recruitment process. ODAIA is committed to providing timely status updates on hiring decisions to all candidates following their final interview, in accordance with applicable employment laws. 
The anticipated base salary for this position ranges from $115,000 to $130,000 CAD. 
This range represents ODAIA's good-faith estimate based on current market data and internal equity. Final compensation is determined through a comprehensive review of the successful candidate’s unique skill set, specialized experience, and relevant certifications. As such, the final offer may vary based on these specific factors. Salary expectations will be discussed collaboratively early in the process to ensure alignment. This role is also eligible for health benefits, stock options, and flexible time off policies as mentioned above.
This posting is for a new/existing vacancy. 
DIVERSITY, EQUITY & INCLUSION
ODAIA is an equal opportunity employer. We are committed to building an environment where everyone feels included, valued, respected and heard. We are committed to creating a diverse workplace, free from discrimination on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, disability status or any other characteristics protected by local laws, regulations or ordinances. 
ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available upon request. If you need assistance or accommodation due to a disability or special need at any stage of the recruitment process, please contact us at [email protected].