Lyra is transforming mental health care using technology with a human touch. Using our proprietary platform and matching technology, Lyra helps companies and their employees find the highest quality mental health care. We work with innovative companies, such as Uber, eBay, and Lyft, among others, and we offer access to an elite network of mental health providers with the flexibility of in-person therapy, live video sessions, coaching programs, and digital self-care tools. Co-founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised $83 million in funding to date from investors including Venrock, Greylock, Tenaya and Glynn Capital.
You get to make an impact in people's lives! 20% of people suffer from a mental health issue every year but only 1 in 7 receive effective care. We have been able to help people get effective mental health care and have been receiving great feedback from patients, employers, and providers. We have doubled the number of our customers who include familiar names like Lyft, Uber, and eBay and several larger companies are starting with Lyra this year.
You will work on a crucial Lyra technology! Not only our product is centered on our data, but strategic decisions are regularly made based on this data. Lyra's data infrastructure is crucial in make us successful as we scale to a much larger population this year.
You will work with a great team! We are lead by an experienced, compassionate, and intelligent leadership team, including our CEO David Eberesman who was previously the CFO of Facebook. The Machine Learning and Data team, which you'll be on, is made up of smart folks who all care about making an impact. Watch David speak here https://vimeo.com/267269496
We have regular two-week sprints and you'll have a weekly one-on-one with your manager. Engineers can push their code to production themselves once they get a code review from a team member. We use Jira to track our work. There are cross-functional stand ups based on projects that are in development.
We are at a point where we need to scale our data infrastructure as the company grows and to make clean, high-quality data available to everyone at Lyra. This infrastructure houses all data related to patients, providers, treatments, and outcomes. Our team of machine learning engineers and analysts are using this data to: build machine learning models to recommend the right kinds of treatment, match patients to the right providers, optimize the effectiveness of care, and derive insights that direct new research and product development to improve patient outcomes.
Building a data anomaly detection suite
Build an experimentation platform
Build our patient eligibility ingestion pipeline for scale.
The thread that exists in everyone in the company is a desire to make a difference in people’s health and well-being. We all care deeply about making a difference in people’s lives, and we hope you do too. We do this as a startup that holds high standards and can make judgment on what matters.
Two dogs are allowed in the office every day, Domino, Rupert, and Flopsy are our regulars!
We are in beautiful downtown Burlingame, right next to the best Burmese restaurant in the bay area, and several coffee shops.
Interested in this company?
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