Sr. Machine Learning Engineer - Lyra Health

Job Title: Sr. Machine Learning Engineer
Job Location: United States
Job Listing URL: https://jobs.lever.co/lyrahealth/b39cd640-0973-46f1-9311-0563ab0d049f
Job Description: About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, nearly 20 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.

We are looking for an experienced Machine Learning Engineer who cares about impact, ownership, cross-functional projects, and mentorship.

This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Please note - remote candidates must be physically located within the United States.

Responsibilities
Be part of a team of innovative ML engineers working on core pieces of our ML and AI models
Train and evaluate machine learning models for search, recommendation, and clinical decision support
Write production code to integrate ML models into our serving infrastructure
Create data systems to collect, clean, label, and store data used for features
Work with product and clinical on requirements and solutions for ML and AI solutions
Work alongside data scientists to analyze online experiments and incorporate actionable insights into Lyra’s modeling approaches.
Qualifications
4+ years of industry experience
Expertise in machine learning
Ability to write high-quality production code in Python
Experience delivering production-level machine learning models in an online setting
Strong communication skills and ability to generate consensus and buy-in within the team
A track record of making high return-on-investment decisions in fast-paced environments

Preferred Qualifications
Experience using Kubernetes
Experience with a JVM coding language (especially Kotlin)
Knowledge of Bayesian statistics or causal inference
Experience delivering production LLM-based applications a plus
Experience working with highly sensitive data in a healthcare environment

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