Member of Technical Staff - (Remote - US and Canada)

Sarsfield Group; United States; Remote; USD 150,000 - 300,000; Full time

Benefits offered by this job

Remote for US/Canada

In-person offsites

Job summary

Sarsfield Group is seeking a Member of Technical Staff for remote work across the US and Canada. Candidates should have 3+ years in research or industry, a BS+ in CS/ML/math, and a track record of shipping ML/NLP systems to production.

Proficiency in Python, PyTorch, and Transformers is required, plus experience with LLM evaluation and clinical AI datasets. Ideal applicants will publish research, explain failed experiments clearly, and are willing to travel for in-person offsites several times a

Qualifications

• 3+ years of research or industry experience, or a final-year PhD/postdoc.
• BS or higher in computer science, machine learning, math or related technical field.
• Track record of shipping ML/NLP systems to production, not just prototypes.
• Production-level Python, plus fluency with PyTorch and the Transformers ecosystem.
• Experience with LLM evaluation, training or prompt engineering.
• Hands-on experience with clinical AI and large datasets.
• Published research.
• Ability to explain failed experiments and uncertainty clearly in writing.
• Willingness to attend in-person offsites several times a year.

Skills

research experience

LLM evaluation

prompt engineering

production Python

PyTorch

Transformers ecosystem

communication of failed experiments

Education

BS or higher in CS / ML / math

Tools

Python

PyTorch

Transformers

Job description

Member of Technical Staff - (Remote - US and Canada)

About the company

This company was founded on a clear thesis: in clinical settings, AI should be used at build time, not runtime. Its compiler is already operational in Canadian public health care, which makes this a rare chance to do high-impact research inside a live, regulated clinical environment.

The company was founded by physician-researchers with experience at frontier AI labs. The team works where clinical reasoning meets AI safety. It recently closed a $3M seed round backed by venture investors and a prominent private investor, and it has partnerships with industry leaders including Merck, Mila and Microsoft. It is a team of six, mostly based in Canada, and is now expanding into the U.S. You’ll join a mission-driven organization where your research is put directly into practice to solve critical challenges in medical decision-making and accountability.

What we’re looking for

3+ years of research or industry experience, or a final-year PhD or postdoc. Frontier-lab experience or cutting-edge doctoral work is a strong signal.

A BS or higher in computer science, machine learning, math or a related technical field

A track record of shipping ML/NLP systems to production, not just research prototypes

Production-level Python, plus fluency with PyTorch and the Transformers ecosystem

Experience with LLM evaluation, training or prompt engineering

Hands‑on experience with clinical AI and large datasets

Published research

The ability to explain failed experiments and uncertainty clearly in writing

Willingness to attend in‑person offsites several times a year

Nice to have

A PhD in computer science, machine learning, NLP, formal methods or statistics

Experience with compilers, program synthesis, formal methods or static analysis

Knowledge of IR design, constraint solving, SAT/SMT or domain‑specific languages

Experience in healthcare or another safety‑critical or highly regulated domain

A background at a top technology company or an advanced academic research group

Python, PyTorch, Transformers, LLMs, static analysis

Compensation and logistics

Full‑time position

Competitive base salary of $150K–$300K, with flexibility for exceptional candidates

Competitive equity, with a cash-to-equity mix that can be tailored to your preference

Remote for candidates based in the U.S. or Canada, with in‑person offsites several times a year

Candidates must be authorized to work in the U.S. or Canada without visa sponsorship, now or in the future. For example, this includes U.S. citizens and green card holders, and Canadian citizens and permanent residents.

We appreciate every application we receive. Due to the volume of interest, only candidates selected for an interview will be contacted.