Job Title

Full Stack, Machine Learning EngineerFull-Time / PermanentABOUT ODAIAODAIA nounodaia | '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 worlds largest pharma commercial teams grow their brands by engaging HCPs at the right timewhen they need information to make treatment decisions.We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customershealthcare 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 dont have to. We live by the notion that simplicity is the ultimate sophistication; and making simplicity scalable is an even bigger challenge. Thats why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.OUR MISSIONReducing patients time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.Were also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. Youre on a mission too? Were here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.WHATS ON OFFERReporting to the Engineering Development Manager, we are seeking a Full Stack Machine Learning Engineer who can bridge the gap between scalable ML infrastructure and intuitive user-facing applications. This is a highly cross-functional role that works closely with our Platform, and Product teams to bring ML-powered features into production and deliver measurable business value to our clients.WHAT YOU WILL DOArchitect scalable data pipelines and secure, cloud-native infrastructure to support real-time and batch ML workflows.Rapidly prototype web applications and internal tools to test hypotheses and accelerate the productization of data-driven features.Collaborate cross-functionally with product, engineering, and data science teams to identify impactful use cases and deliver measurable outcomes.Translate complex machine learning and system design concepts into actionable insights for both technical and non-technical audiences.Apply modern ML techniques, including transformer-based models, embedding systems, and retrieval methods, to solve real-world problems.Contribute to a culture of engineering excellence through clean, testable code, thoughtful architecture, and strong documentation practicesWHAT YOU BRING4+ years of experience delivering machine learning and software solutions in production environments, ideally in a full-stack or applied ML capacity.Strong understanding of core ML principles, with practical experience developing and deploying models that drive product or business value.Proven ability to go from idea to MVP using modern web frameworks and cloud platforms like AWS.Experience with modern ML techniques, including NLP pipelines, transformer architectures, and scalable vector search or retrieval systems.Proficiency in Python and familiarity with key libraries and frameworks (e.g., scikit-learn, PyTorch, FastAPI, Dagster).Strong coding and engineering fundamentals, including version control, CI/CD, and infrastructure-as-code.Excellent communication skills and a collaborative mindset to work effectively with cross-functional teams.Bonus: Experience working in GenAI, NLP, or building intelligent features within SaaS or B2B products.WHAT WE OFFERA strong values based culture, we Ignite Innovation, Own It and Stand TogetherTremendous growth and unique learning opportunitiesA large amount of ownership and autonomy for managing things directlyNo waiting period for medical and dental benefits enrollmentFlexible working hours, focusing on what we achieve and not the number of hours we clockAn open and flexible vacation policyStock option grantsCareer development opportunities, and a solid business model - were in it for the long haul!If you think you may not check every box, dont 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.LOCATIONWe 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 VERIFICATIONAny 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.ACCOMMODATIONS AND ACCESSIBILITYAccommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.DIVERSITY, EQUITY & INCLUSIONAs an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with inters