Staff, Machine Learning Engineer
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
About Fullscript
Were an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.
That simple idea grew into a platform that powers every part of care. Today more than 125000 practitioners use Fullscript for clinical insights lab interpretations patient analytics education and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.
We build tools that make care smarter and more human. Tools that save time simplify decisions and help practitioners stay closely connected to the people they care for. When everything they need is in one place they can focus on what matters most: helping people get better.
This is your invitation.
Bring your ideas your grit and your care for people.
Join us and shape the future of care.
The role
Were hiring aStaff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscripts AI-powered experiences. Youll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.
This is a senior individual contributor role for someone who can go beyond addition to building high-quality systems youll help define technical direction guide architecture decisions and identify where AI can create meaningful value in clinical workflows. Youll work with a high degree of autonomy and partner closely with engineering product analytics and medical stakeholders to deliver scalable reliable and clinically useful AI experiences.
What youll do
- Lead the design development and deployment of production multi-turn LLM-powered features including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context
- Own backend services in Python that integrate LLM agents with Fullscripts platform and support reliable production use
- Help define technical direction for prompting grounding safety and orchestration strategies used across clinical AI workflows
- Establish and improve evaluation approaches for LLM outputs including accuracy hallucinations edge cases and overall feature quality
- Shape engineering patterns for model-related workflows including testing CI/CD observability and version control
- Partner with medical product and engineering teams to identify high-value opportunities for AI and turn them into practical scalable product capabilities
- Work cross-functionally with engineering analytics and medical SMEs to refine requirements and ensure data and system design support clinical use cases
- Provide technical leadership across projects by creating clarity in ambiguous problem spaces guiding tradeoff decisions and raising the quality bar for the team
- Stay current with the latest LLM research and emerging AI technologies and help assess where they can be applied effectively at Fullscript
What you bring to the table
- 6 years of experience building and implementing machine learning applications in production including meaningful experience with LLM-powered agents conversational experiences or agent-based workflows
- A track record of owning complex technical problems end to end and shaping implementation beyond your immediate code contributions
- Experience designing and deploying AI systems that answer open-ended questions support follow-up interactions and operate reliably in production
- Strong experience with LLM application frameworks and tooling such as LangChain LangGraph or similar orchestration and RAG frameworks
- Familiarity with evaluation and monitoring frameworks for LLM outputs conversational quality and system reliability
- Knowledge of MCP agent orchestration patterns or related approaches for building multi-step AI systems
- Strong proficiency in Python and SQL
- Experience making sound technical decisions around quality safety maintainability and scalability in production AI systems
- Strong communication and collaboration skills with the ability to work effectively across technical and non-technical stakeholders
Bonus if you have
- Experience defining technical direction for AI or machine learning systems across multiple projects or teams
- Experience building clinician-facing healthcare-adjacent or other high-trust AI experiences
- Experience with recommendation systems personalization or other applied ML systems beyond LLMs
- Experience with modern retrieval grounding or evaluation patterns for LLM applications
- Experience working closely with domain experts to build systems in complex or highly contextual problem spaces
What we can offer you:
- SalaryFlexible PTO & competitive payrest fuels performance.
- RRSP match & stock optionsinvest in your future.
- Customizable benefitsflexible coverage paramedical services and an HSA.
- Fullscript discountssave on wellness products.
- Continuous learningtraining budget company-wide initiatives.
- Wherever You Work Wellhybrid and remote flexibility.
Why Fullscript
Great work happens when people feel supported trusted and inspired. At Fullscript we stay curious and keep finding smarter ways to make care better. We grow together take on new challenges and focus on impact. We put people first work as a team and leave egos at the door.
What to Know Before You Apply
Were grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team please apply directly through our careers page. Were not able to respond to individual messages about open roles on email or social channels.
Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at emailprotected.
All offers are contingent on successful background checks conducted in compliance with federal state and provincial laws.
We use AI tools to support parts of the hiring process including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.
Learn More
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
About Company
Join thousands on Fullscript in making health last with a platform for personalized treatment planning, active wellness support, and top-quality supplements.
