Sr. AI/ML Engineer (Platform)

Lyra Health; United States; Hybrid; USD 142,000 - 196,000; Full time

Job summary

An innovative company is seeking a skilled Sr. AI/ML Engineer to drive the development of their machine learning platform. This role offers the opportunity to work on impactful projects that enhance mental health care through technology. Collaborate with a diverse team of engineers and data scientists to build scalable infrastructure, deploy applications, and manage ML models. With a focus on social impact and a commitment to quality, this position allows you to make a significant difference in people's lives while enjoying a supportive work environment. If you're passionate about technology and eager to learn, this is the perfect opportunity for you.

Benefits

Comprehensive healthcare coverage

Coaching and therapy services

Equity through restricted stock units

Competitive paid time off

Paid parental leave

401K retirement benefits

Monthly tech allowance

Well-being perks and activities

Qualifications

• 4+ years of experience in building production-level ML platforms.
• Strong coding skills in Python, Java, or Scala with experience in RESTful APIs.

Responsibilities

• Build scalable infrastructure for training and deploying ML models.
• Create data systems for collecting and storing data for model features.

Skills

Python

Java

Scala

RESTful APIs

Machine Learning

Kubernetes

Docker

CI/CD Pipelines

Relational Databases

Data Transformation

Education

Bachelor's Degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS

MLFlow

Kubeflow

Pytorch

SciKit-learn

XGboost

Job description

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This range is provided by Lyra Health. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$142,000.00/yr - $196,000.00/yr

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, nearly 20 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

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

Protect yourself from recruitment fraud

Lyra Health does not use text or chat applications to conduct interviews or make job offers. We have a thoughtful and interactive interview process that primarily includes video-based interviews with our hiring teams. Communications will always be conducted from lyrahealth(dot)com or lyraclinical(dot)com domain names. Please disregard any other communications that do not include these domain names but appear to be from Lyra Recruiting.

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. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.

Benefits

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!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Mental Health Care