Senior Machine Learning Engineer

5+ years of industry experience in ML/NLP, including building production systems.
“End-to-end” experience building ML production systems: Along with strong ML fundamentals, you will need expertise in the entire lifecycle of machine learning production systems, such as data processing, modeling, deployment, monitoring, maintenance, and improving the models over time using feedback loops.
“Product sense” or intuition on what to build: You will need to be able to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions.
Strong communication skills: This role involves collaboration with product, engineering, clinical, and research teams. Understanding the audience’s mental models and communicating ideas crisply to diverse stakeholders will be vital to the role. You should be comfortable leading cross-functional machine learning product initiatives, from conception to successful product outcomes.
Experience and/or interest in mentoring junior engineers.

You will develop and improve our AI systems used in our patient and physician-facing product features in collaboration with our product, clinical, engineering, and design teams. Includes fine-tuning large language models, developing model evaluations, and dealing with hard engineering constraints like latency and expensive model inference.
Design offline and online evaluations to test ML product features, and perform data-driven analysis of the results to find actionable insights.
Enable rapid and rigorous scientific innovation by a multidisciplinary team of Curai clinicians, engineers, and researchers, through platform, tools, and documentation.
Mentor interns and junior team members.
Interview diverse talent to build and grow a strong ML team.

No preferred qualifications provided.