Senior Machine Learning Engineer

Odaia Intelligence Inc.; Remote; CAD 135,000 - 165,000; Full time

Job summary

A leading AI-driven healthcare technology firm is seeking a Senior Machine Learning Engineer to develop and enhance advanced machine learning models. This role involves implementing predictive modeling, optimizing ML pipelines, and collaborating with cross-functional teams. Ideal candidates have over 5 years of experience in data science, strong proficiency in Python and ML libraries, and a passion for leveraging AI to bring therapies to patients faster. The anticipated salary ranges from $135,000 to $165,000 CAD, offering competitive benefits in a dynamic environment.

Benefits

Flexible working hours

Open vacation policy

Stock option grants

Career development opportunities

Immediate medical and dental benefits enrollment

Qualifications

• 5+ years of professional experience in developing and deploying machine learning models.
• Strong proficiency in Python and machine learning libraries.
• Expertise in predictive modeling and causal inference.

Responsibilities

• Develop and optimize advanced machine learning models.
• Research novel ML techniques to enhance customer insights.
• Design and build scalable machine learning pipelines.

Skills

Machine Learning

Python

Statistical Analysis

Predictive Modeling

Data Analysis

Causal Inference

Hierarchical Modeling

Education

Bachelor's degree in Computer Science or related field

Tools

Scikit-learn

XGBoost

PyTorch

Dagster

Job description

Senior Machine Learning Engineer

ABOUT ODAIA

ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to “tools of the trade.”

You can also find more information about the company and our products at odaia.ai.

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's AI helps the world’s largest pharma commercial teams grow their brands by engaging HCPs at the right time—when they need information to make treatment decisions.

We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers—healthcare professionals (HCPs)—and predict prescribing behaviors.

Our SaaS platform turns complex data into personalized insights, helping pharma teams 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.

OUR MISSION

Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human‑centric software powered by AI.

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 Senior 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 heavily on predictive modeling, time‑series analysis, causal inference, and hierarchical modeling
• Research and experiment with novel machine learning approaches to solve complex predictive problems and enhance customer insights
• Design and build scalable machine learning pipelines, ensuring efficient data workflows and robust data handling practices
• Rigorously evaluate and iteratively enhance machine learning model performance using appropriate statistical methods and validation frameworks
• Own end‑to‑end responsibility for the ML model lifecycle—from problem definition and exploratory analysis to deployment, monitoring, and iteration
• Clearly articulate complex modeling concepts, insights, and analytical outcomes to both technical colleagues and business stakeholders
• Ensure solutions delivered are scalable, high‑quality, and promptly address evolving customer needs and business objectives
• Continuously assess and integrate new advances in machine learning research, statistical methodologies, and analytical techniques into existing frameworks
• Foster collaborative relationships, emphasizing effective communication and proactive knowledge sharing within and across teams
• 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

• 5+ years of professional experience in developing and deploying advanced machine learning models, particularly in data science or analytics‑intensive environments.
• Strong proficiency in Python, with extensive experience in statistical analysis and machine learning libraries (e.g., Scikit‑learn, XGBoost, PyTorch) and orchestration frameworks (e.g., Dagster).
• Demonstrated expertise in causal inference, predictive modeling, hierarchical modeling, and advanced statistical methods for analyzing complex data structures, including time‑series data.
• Solid understanding of statistical validation methods, experimental design, hypothesis testing, and rigorous model evaluation metrics.
• Proven track record in conducting exploratory data analysis, feature engineering, and interpreting complex model outcomes clearly and effectively.
• Ability to design and iterate upon robust, research‑driven machine learning solutions, from initial concept through deployment and continuous improvement.
• Familiarity with cloud‑based ML environments (AWS, Azure, GCP), especially related to data science workflows and analytical toolsets.
• Strong foundation in software engineering best practices, including version control, code readability, documentation, and reproducible research.
• 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 from machine learning and data science research to practical business problems.
• If you think you may not check every box, don’t worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality.

WHAT WE OFFER

• A strong values based culture, we Ignite Innovation, Own It and Stand Together
• Tremendous growth and unique learning opportunities
• A large amount of ownership and autonomy for managing things directly
• No waiting period for medical and dental benefits enrollment
• Flexible working hours, focusing on what we achieve and not the number of hours we clock
• An open and flexible vacation policy
• Stock option grants
• Career development opportunities, and a solid business model - we’re in it for the long haul!

LOCATION

We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity 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.

DEMONSTRATED SALARY RANGE

The anticipated base salary for this position ranges from $135,000 to $165,000 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.

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 [e-mail]