Founding Machine Learning Research Engineer - Remote

Posted 27 weeks ago

Software Development

Full Time

CA, USA

Machine Learning

Reinforcement Learning

Large Language Models

Statistical Techniques

Deep Learning

Cloud Environments

Healthcare Data

Overview

Lighten is on a mission to accelerate clinical evidence generation by transforming how people interact with healthcare data. We build foundational technologies to address the challenges of unstructured data in healthcare.

In Short

Research, architect, develop, and validate novel ML systems for healthcare data.
Stay updated with advancements in ML technologies.
Take ownership of end-to-end ML pipelines.
Collaborate with clinical and product engineering teams.
Deploy ML pipelines into cloud environments.
Work in person in Palo Alto, CA at least 3-4 days a week.

Requirements

5+ years of experience in machine learning and large language models.
Strong knowledge of statistical and deep learning techniques.
Experience with clinical data is a bonus.
Track record of publications in top ML conferences is a bonus.
Exceptional problem-solving skills.
Team player in a fast-paced environment.

Benefits

Competitive salary and employee equity options.
3% company-sponsored 401k contributions.
Comprehensive medical, dental, and vision insurance.
Flexible work-from-anywhere days.

Lighten

Lighten is a pioneering company dedicated to accelerating clinical evidence generation by transforming healthcare data into usable insights. Recognizing the limitations of electronic health records, which are primarily designed for billing rather than capturing comprehensive patient journeys, Lighten addresses the challenges of unstructured data and lengthy patient identification processes. The founding team, comprised of experts from prestigious institutions such as Stanford, MIT, and Google, is backed by top-tier venture capital firms and has achieved remarkable growth in revenue. Lighten fosters a collaborative and innovative work environment, offering competitive salaries, equity options, and comprehensive benefits, while promoting a hybrid work model based in Palo Alto, CA.

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