Sr. AI/ML Engineer (Platform)

Lyra Health, Inc.; United States; On-site; USD 142,000 - 196,000; Full time

Job summary

An innovative company is seeking a skilled Sr. AI/ML Engineer to join their dynamic team. This role focuses on building a robust platform for training, deploying, and monitoring machine learning products that make a genuine impact on mental health care. You will collaborate with talented engineers and data scientists to create scalable infrastructure and data systems that enhance the quality and accessibility of mental health services. If you're passionate about social impact and eager to work in a fast-paced environment, this opportunity could be your next career move!

Benefits

Comprehensive healthcare coverage

Coaching and therapy services

Equity through restricted stock units

Competitive time off with pay

Paid parental leave

401K retirement benefits

Monthly tech allowance

Well-being perks and activities

Qualifications

• 4+ Jahre Erfahrung im Aufbau einer produktionsfähigen ML-Plattform.
• Fähigkeit, qualitativ hochwertigen Code in Python, Java oder Scala zu schreiben.

Responsibilities

• Teil eines Teams, das skalierbare Infrastruktur für ML-Modelle aufbaut.
• Datenverwaltungssysteme zur Sammlung, Reinigung und Speicherung von Daten erstellen.

Skills

Machine Learning

Python

Java

Scala

RESTful APIs

Docker

Kubernetes

CI/CD Pipelines

Data Transformation

Communication Skills

Tools

Pytorch

SciKit-learn

XGboost

MLFlow

Kubeflow

AWS Sagemaker

Job description

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, 17 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.

About the Role

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 system. We are looking for an experienced Sr. AI/ML Engineer who is eager to build the platform needed to train, deploy and monitor our machine learning products and 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. Remote candidates must be physically located within the United States.

Lyra is for you if you:

• 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

Responsibilities

• Be part of a team working on building out scalable infrastructure to train, evaluate, deploy, perform inference and monitor our ML models
• Create data systems to collect, clean, label and store data used for model features
• Deploy and manage various applications in our Kubernetes clusters
• Work with stakeholders on requirements and solutions for ML infrastructure
• And of course, you will be coding every day!

Qualifications

• 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

Preferred Qualifications

• 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

Salary and Benefits

$142,000 - $196,000 a year

As a full-time Sr. AI/ML Infrastructure Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $142,000 - $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:

• Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
• Lyra for Lyrians; coaching and therapy services
• Equity in the company through discretionary restricted stock units
• Competitive time off with pay policies including vacation, sick days, and company holidays
• Paid parental leave
• 401K retirement benefits
• Monthly tech allowance

We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!

Equal Opportunity Employer

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice.