Lead AI-Driven Innovation for Musculoskeletal Care

3 weeks ago


Montreal, Quebec, Canada Hinge-Health Full time

We're seeking a seasoned Staff Machine Learning Scientist to play a pivotal role in designing and deploying cutting-edge machine learning systems that revolutionize digital health, particularly in MSK care.

As a critical member of our team, you will be responsible for leading the end-to-end design and deployment of production-ready AI features that directly impact Hinge Health's MSK care solutions. Your expertise in fine-tuning, evaluating, and optimizing large language models (LLMs) will be instrumental in demonstrating measurable improvements in care personalization and engagement metrics within 6 months of joining.

The ideal candidate is passionate about shipping impactful AI-driven features, experienced in training and fine-tuning LLMs, and adept at integrating state-of-the-art AI methodologies to support Hinge Health's mission of improving lives. You will stay at the forefront of AI advancements, driving innovation through research and experimentation with generative AI and agentic frameworks. Additionally, you will guide technical implementation of product vision and goals, evangelize AI/ML software and scientific development practices across the organization.

Key Responsibilities:
  • Develop and deploy AI features that shape the future of digital health
  • Fine-tune and optimize LLMs for specific use cases
  • Stay up-to-date with AI advancements and drive innovation
  • Guide technical implementation of product vision and goals

Hinge Health Hybrid Model

We believe in the benefits of both remote and in-person work and want to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days a week.

Required Skills and Qualifications:

  • Bachelor's degree or better in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field
  • 5+ years of industry experience developing and deploying AI/ML solutions in production environments
  • Demonstrated experience with fine-tuning, evaluating, and optimizing LLMs for specific use cases
  • Proficiency in Python and software development best practices
  • Experience using SQL to extract, manipulate, and analyze data

Estimated Salary: $180,000 - $220,000 per year

We offer an annual salary, plus equity and benefits, as part of our compensation package. Our comprehensive benefits include medical, dental, and vision coverage, help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn't available where you live.

About Us:

We're committed to building diverse teams that reflect the communities we serve. We're an equal opportunity employer and prohibit discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state, or local law.


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