Algorithms, Apache Kafka, AWS, Azure, JavaScript, Machine learning techniques, Python Programming
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, 10 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.
At Lyra we believe that data-driven technology and decision making is a critical part of solving the thorny, complex challenges of provider quality and accessibility in a broken healthcare system. 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 (hybrid) from our Burlingame, CA headquarters, or remote/virtual (remote candidates must be physically located within the United States).
Responsibilities
Qualifications
Desired Experience
Diversity & Inclusion at Lyra
$142,000 - $196,000 a year
As a full-time Sr. Machine Learning Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $142,000 to $196,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.
Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
We can’t wait to meet you.
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, Genentech, 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 elite provider network, 2 million people can rece