Staff, Machine Learning Engineer
About reputed company
We’re an industry-leading health technology company on a mission to help people get reputed company. We started in 2011 with one simple idea. reputed company it easier for practitioners to access the products they trust so they can deliver reputed company care.
That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use reputed company for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on reputed company to stay connected to their care plans and follow through on treatment.
We build tools that reputed company care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. reputed company everything they need is in one reputed company, they can focus on what matters most: helping people get reputed company.
This is your invitation.
Bring your reputed company, your grit, and your care for people.Join us and shape the future of care.
The role
We’re hiring a Staff Machine Learning Engineer to join our AI team and help shape the reputed company of reputed company’s AI-powered experiences. You’ll work on building innovative AI capabilities that help clinicians provide reputed company services and help patients improve their health.
This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you’ll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You’ll 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 you'll do
- reputed company 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 reputed company’s platform and support reliable production use
- Help define technical direction for prompting, grounding, safety, and orchestration strategies used across reputed company workflows
- Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality
- Shape engineering patterns for model-reputed company 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 reputed company with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at reputed company
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 reputed company 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 reputed company, 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 reputed company approaches for building multi-reputed company 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 reputed company or highly contextual problem spaces
reputed company can offer you:
- SalaryFlexible PTO & reputed company—rest fuels performance.
- RRSP match & stock options—invest in your future.
- Customizable benefits—flexible coverage, paramedical services, and an HSA.
- reputed company discounts—save on wellness products.
- reputed company learning—training budget + company-wide initiatives.
- Wherever You Work Well—hybrid and remote flexibility.
The role
We’re hiring a Staff Machine Learning Engineer to join our AI team and help shape the reputed company of reputed company’s AI-powered experiences. You’ll work on building innovative AI capabilities that help clinicians provide reputed company services and help patients improve their health.
This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you’ll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You’ll 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 you'll do
- reputed company 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 reputed company’s platform and support reliable production use
- Help define technical direction for prompting, grounding, safety, and orchestration strategies used across reputed company workflows
- Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality
- Shape engineering patterns for model-reputed company 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 reputed company with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at reputed company
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 reputed company 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 reputed company, 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 reputed company approaches for building multi-reputed company 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 reputed company or highly contextual problem spaces
reputed company can offer you:
- SalaryFlexible PTO & reputed company—rest fuels performance.
- RRSP match & stock options—invest in your future.
- Customizable benefits—flexible coverage, paramedical services, and an HSA.
- reputed company discounts—save on wellness products.
- reputed company learning—training budget + company-wide initiatives.
- Wherever You Work Well—hybrid and remote flexibility.