Senior AI/Machine Learning Infrastructure Engineer, Lyra Health
$159-219k
+ Equity in the company through discretionary restricted stock units
More information about location
Employee mental health care provider
Posted today
Employee mental health care provider
1001+ employees
Posted today
$159-219k
+ Equity in the company through discretionary restricted stock units
More information about location
1001+ employees
Company mission
To transform access to life-changing mental health care.
Role
Who you are
- We are looking for an experienced AI/ML Infrastructure Engineer who cares about impact, ownership, cross-functional projects, and mentorship
- Want to work with brilliant people solving hard problems
- Have a passion for social impact and helping people when they are most vulnerable
- Like to collaborate across teams with engineers, data scientists, and product managers
- 5+ years of industry experience building production level ML platforms and infrastructure, including experience building ML systems/pipelines from the ground-up
- Ability to write high-quality code in Python, Java or Scala
- Experience building production ready RESTful APIs, as well as having scaled platforms in production to a large number of users
- A desire to own large parts of an ML Platform, with a strong understanding of ML models & principles
- Experience working with containers and deploying applications to Kubernetes
- Experience with LLMs and building infrastructure to support LLM applications
- Experience with relational and low-latency databases
- Experience with transforming data in both batch and streaming contexts
- A desire to learn new technologies quickly, and a proven track record of making quality vs. deadline tradeoffs in fast-paced environments
- Ability to scope out a large project and manage it through project delivery
- Strong communication skills and ability to generate consensus and buy-in within the team
- Organizational skills and the ability to simplify complex problems and prioritize what matters most for the sake of the team and the business
Desirable
- Experience working with highly sensitive data in a healthcare environment
- Experience working with ML frameworks such as Pytorch, SciKit-learn, XGboost
- Experience working with ML Ops tools such as MLFlow, Kubeflow, AWS Sagemaker
- Experience building solutions on cloud infrastructure, particularly AWS
What the job involves
- Be part of a team working on building out scalable infrastructure to train, evaluate, deploy, perform inference and monitor our ML models
- Build, deploy and maintain generative AI services & applications
- Create data systems to collect, clean, label and store data used for model features
- Deploy and manage various applications in our Kubernetes clusters
- Collaborate with Machine Learning engineers to build & support state of the art experimentation platforms, training frameworks and associated tools
- Work with stakeholders on requirements and solutions for ML infrastructure
- And of course, you will be coding every day!
Our take
In the United States, millions of people suffer from mental illness each year - a figure which is unfortunately on the rise - and research suggests that depression and anxiety disorders lead to $1 trillion in lost productivity worldwide each year. Lyra Health is one company out to tackle these issues head-on, by delivering mental health care for employees.
Lyrah Health is seen as a key player alongside other online mental telehealth platforms, which include Calm, Genoa, and Talkspace. The company offers video counselling sessions and one-to-one messaging to help users with a variety of conditions including anxiety, depression, and substance use disorder. Coaching is also offered as a preventative measure.
Lyra Health boasts a 90% satisfaction rate across its more than 2.2 million members, demonstrating the impact that its products can have on wellbeing. In 2022, Lyra announced its acquisition of ICAS World, an international provider of employee assistance programs. Its global network includes over 1,500 companies and 6.3 million users across more than 155 countries, which should give Lyra smooth inroads into global markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Jan 2022
$35m
SERIES F
May 2021
$200m
SERIES F
Total funding: $690.1m
Company benefits
- Full access to Lyra’s mental health services for employees and their eligible dependents—at no charge
- Medical, dental, and vision benefits, and free monthly membership to One Medical
- Generous compensation, 401k, and equity options
- Four weeks of vacation and paid holidays
- Tech stipend
- Monthly Uber Eats and NatureBox credits
Company values
- Mind Yourself - We nurture our personal values and take time to learn the skills we teach our clients.
- Look inwards - We have the courage to look inwards and embrace how we can improve.
- Follow the Science - We are guided by facts and are committed to publishing our results.
- Tackle Hard Problems - We embrace challenges that others shy away from.
- Listen Harder - We make better decisions by seeking other opinions and having a real dialogue.
- Show Your Cards - We take the time to share context, making transparency a hallmark of our culture.
- Put Clients First - We work with purpose to make a tangible impact on people in need.
Company HQ
Downtown, Burlingame, CA
Articles
Leadership
David Ebersman
(Co-Founder & CEO)Member of the Board of Directors at Momentive-AI. Former Equity Research Analyst at Oppenheimer & Co. Was CFO at Facebook, and worked at Genentech for 15 years, leaving as Chief Financial Officer & Executive VP.
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