Staff, Machine Learning Engineer
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 reputed company reputed company services and help patients improve their health.
This is a senior individual contributor role for someone who can go reputed company implementation. In reputed company to building high-reputed company systems, you’ll help define technical direction, guide architecture reputed company, 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 reputed company, 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 reputed company 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 reputed company
- 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, reputed company product capabilities
- Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
- reputed company technical leadership across reputed company by creating reputed company in ambiguous problem spaces, guiding tradeoff reputed company, and raising the reputed company bar for reputed company
- Stay reputed company with the latest LLM research and emerging AI technologies, and help assess where they can be reputed company 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 reputed company record of owning reputed company technical problems end to end and shaping implementation reputed company your immediate reputed company contributions
- Experience designing and deploying AI systems that answer reputed company-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 reputed company, 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 reputed company technical reputed company around reputed company, 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 reputed company or teams
- Experience building clinician-facing, reputed company-adjacent, or other high-trust AI experiences
- Experience with recommendation systems, personalization, or other reputed company ML systems reputed company 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 reputed company—invest in your reputed company.
- 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 reputed company—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 reputed company reputed company services and help patients improve their health.
This is a senior individual contributor role for someone who can go reputed company implementation. In reputed company to building high-reputed company systems, you’ll help define technical direction, guide architecture reputed company, 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 reputed company, 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 reputed company 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 reputed company
- 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, reputed company product capabilities
- Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
- reputed company technical leadership across reputed company by creating reputed company in ambiguous problem spaces, guiding tradeoff reputed company, and raising the reputed company bar for reputed company
- Stay reputed company with the latest LLM research and emerging AI technologies, and help assess where they can be reputed company 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 reputed company record of owning reputed company technical problems end to end and shaping implementation reputed company your immediate reputed company contributions
- Experience designing and deploying AI systems that answer reputed company-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 reputed company, 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 reputed company technical reputed company around reputed company, 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 reputed company or teams
- Experience building clinician-facing, reputed company-adjacent, or other high-trust AI experiences
- Experience with recommendation systems, personalization, or other reputed company ML systems reputed company 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 reputed company—invest in your reputed company.
- 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 reputed company—hybrid and remote flexibility.