Senior AI/ML Engineer, Lyra Health

Platform

$142-196k

+ Equity in the company through discretionary restricted stock units

AWS
Docker
Kubernetes
Python
Scala
Java
Jenkins
Scikit-Learn
Kubeflow
PyTorch
Sagemaker
REST API
Mid and Senior level
Remote from US

More information about location

Lyra Health

Employee mental health care provider

Open for applications

Lyra Health

Employee mental health care provider

1001+ employees

HealthcareB2BHRMental health

Open for applications

$142-196k

+ Equity in the company through discretionary restricted stock units

AWS
Docker
Kubernetes
Python
Scala
Java
Jenkins
Scikit-Learn
Kubeflow
PyTorch
Sagemaker
REST API
Mid and Senior level
Remote from US

More information about location

1001+ employees

HealthcareB2BHRMental health

Company mission

To transform access to life-changing mental health care.

Role

Who you are

  • 4+ years of industry experience building a production level ML platform
  • Ability to write high-quality code in Python, Java or Scala
  • Experience building RESTful APIs
  • Experience working with Docker and deploying applications to Kubernetes
  • Experience with CI/CD pipelines, ideally in Jenkins
  • Experience with relational and low-latency databases
  • Experience with transforming data in both batch and streaming contexts
  • A desire to learn new technologies quickly
  • A love of building systems from scratch
  • A track record of making quality vs. deadline tradeoffs in fast-paced environments
  • 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 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
  • Experience building generative AI based products
  • Experience working with highly sensitive data in a healthcare environment

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!

Share this job

View 6 more jobs at Lyra Health

Insights

Top investors

40% employee growth in 12 months

Company

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
  • Monthly tech stipend

Funding (last 2 of 8 rounds)

Jan 2022

$35m

SERIES F

May 2021

$200m

SERIES F

Total funding: $690.1m

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 headshot

Freddie

Company Specialist at Welcome to the Jungle