Lead Applied Scientist

Remote: 
Full Remote
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Offer summary

Qualifications:

8+ years of industry experience in building and shipping ML systems in production., Strong foundation in programming, statistics, NLP, and LLMs., Hands-on experience in designing, training, and evaluating LLM solutions., Proven track record of solving ambiguous business problems with ML systems..

Key responsibilities:

  • Lead a cross-functional team of scientists, engineers, and product managers to build Tali’s core AI engine.
  • Experiment and iterate on LLM solutions to solve user problems and achieve business goals.
  • Design and implement the end-to-end lifecycle of ML solutions from experimentation to production.
  • Mentor data scientists and contribute to data science strategy aligned with Tali’s business goals.

Tali AI logo
Tali AI https://tali.ai
11 - 50 Employees
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Job description

At Tali, we’re tackling one of healthcare’s most pressing challenges: the documentation burden that overwhelms clinicians and compromises patient care. Our AI assistant is transforming the industry, serving thousands of clinicians across Canada and the US, and processing more than 10 million patient encounters annually.

We’re building a product that solves critical, real-world problems for clinicians today while laying the foundation for a more efficient and patient-centered healthcare system. Our customers trust our technology to deliver accurate, secure documentation, empowering them to focus on what matters most: exceptional patient care.

We’re building a team of exceptional individuals who are aligned with our mission and passionate about solving hard problems. Our team combines decades of experience in healthcare technology and world-class companies like Stripe, Shopify, and Amazon.

As an Applied Scientist, you will lead a cross-functional team of scientists, engineers, and product managers who build Tali’s core AI engine. We understand that building real-world solutions with AI is both an experimental discipline and an engineering challenge.

Why Join Tali

  • Impact at Scale: Your work will directly impact the Tali employment experience, enabling our team to improve the  lives of clinicians and patients, while reshaping the future of healthcare.
  • Technical Excellence: We’re building a world-class product with cutting-edge technology, from full-stack development to ML, infrastructure, and security.
  • Ownership and Growth: As an early-stage startup, every team member has the opportunity to shape our technology, culture, and future. Whether you’re a generalist who thrives on variety or a specialist eager to build entire systems from the ground up, your contributions will be pivotal.
  • Build with Purpose and Pride: Engineer systems that handle highly sensitive medical data with precision and care, knowing your work directly impacts the trust and safety of clinicians and patients.
  • A Team that Inspires: Collaborate with a talented, driven team that values innovation, humility, and a relentless focus on solving hard problems.

What You’ll Do

  • Experiment and iterate on LLM solutions with a high level of rigor to solve user problems and achieve business goals.
  • Design and implement the end-to-end lifecycle of solutions from experimentation, to production, and monitoring.
  • Design and implement online and offline evaluation metrics for ML solutions in production.
  • Partner with engineers and product managers to deeply understand user problems and translate them into problems to solve, production systems to build.
  • Stay up-to-date with the latest developments in AI/ML, and take calculated risks in transforming innovative ideas into productionized solutions.
  • Lead and mentor data scientists in your domain, providing technical guidance, support, and mentorship.
  • Contribute to data science strategy and align it with Tali’s business, product and tech strategy. 

Minimum Requirements

  • 8+ years of industry experience building and shipping ML systems in production.
  • A strong foundation in programming, statistics, NLP, and LLMs.
  • Hands-on experience in designing, training, and evaluating LLM solutions.
  • Proven track record of building and shipping ML systems that have effectively solved ambiguous business problems.
 

Recruitment Process

Here’s what to expect from the recruitment process:

  • Selected candidates will be contacted for an initial 30-minute interview
  • Technical Screen (45 min)
  • AI Systems Interview (45 min)
  • Career Interview with hiring manager (45 min)

More About Tali AI

Perks and Benefits:

All full-time employees have access to:

  • Fully remote work & flexible work hours
  • Half day Fridays (35-hour work week)
  • Comprehensive health and wellness benefits from day one
  • Competitive time-off, including company-wide holidays between Dec 25 - Jan 1
  • $2000 in annual "Knowledge Dollars" for professional development
  • Quarterly socials & company outings

Our Core Values:

  • Bold: embracing ambitious goals, making courageous decisions, and taking calculated risks to drive impactful innovation and growth
  • Resourceful: we're self-directed problem solvers; navigating obstacles, learning and acquiring new skills as needed and making sound judgement calls within scope. Consistently delivering on commitments while maintaining a high standard of quality and dependability in all aspects of our work
  • Candid: Being, honest, transparent, and open in all interactions, fostering a culture of trust and authenticity
  • Caring: Actively supporting and empathizing with our people - customer, patients, and colleagues to help them thrive and achieve their goals

We thank all applicants for their interest; only those candidates selected for an interview will be contacted. Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact the Human Resources team at people@tali.ai.

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Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Innovation
  • Collaboration
  • Problem Solving

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