Senior Machine Learning Engineer
Location: Campbell
Posted on: June 23, 2025
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Job Description:
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
Keywords: , Gilroy , Senior Machine Learning Engineer, IT / Software / Systems , Campbell, California
