Sr. Machine Learning Engineer

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

Job summary

An innovative company is seeking a skilled Machine Learning Engineer to join their team. This role offers the opportunity to work on impactful projects that enhance mental health care through advanced technology. You will collaborate with cross-functional teams, train machine learning models, and write production-quality code. With a focus on mentorship and ownership, this position allows you to contribute to meaningful solutions that improve access to mental health services. If you are passionate about making a difference and thrive in a dynamic environment, this position is for you.

Benefits

Comprehensive healthcare coverage

Equity through restricted stock units

Competitive time off

Paid parental leave

401K retirement benefits

Monthly tech allowance

Coaching and therapy services

Regular community celebrations

Free food and swag

Well-being perks and activities

Qualifications

• 4+ years of industry experience in machine learning.
• Expertise in writing production-level code in Python.

Responsibilities

• Train and evaluate machine learning models for various applications.
• Integrate ML models into serving infrastructure.

Skills

Machine Learning

Python

Communication Skills

Data Analysis

Education

Bachelor's Degree in Computer Science or related field

Master's Degree (preferred)

Tools

Kubernetes

JVM (Kotlin)

Job description

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.

We are looking for an experienced Machine Learning Engineer 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. Please note - remote candidates must be physically located within the United States.

Responsibilities

• Be part of a team of innovative ML engineers working on core pieces of our ML and AI models
• Train and evaluate machine learning models for search, recommendation, and clinical decision support
• Write production code to integrate ML models into our serving infrastructure
• Create data systems to collect, clean, label, and store data used for features
• Work with product and clinical on requirements and solutions for ML and AI solutions
• Work alongside data scientists to analyze online experiments and incorporate actionable insights into Lyra’s modeling approaches.
  
  

Qualifications

• 4+ years of industry experience
• Expertise in machine learning
• Ability to write high-quality production code in Python
• Experience delivering production-level machine learning models in an online setting
• Strong communication skills and ability to generate consensus and buy-in within the team
• A track record of making high return-on-investment decisions in fast-paced environments
  
  

Preferred Qualifications

• Experience using Kubernetes
• Experience with a JVM coding language (especially Kotlin)
• Knowledge of Bayesian statistics or causal inference
• Experience delivering production LLM-based applications a plus
• 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. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact [e-mail]. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

As a full-time Sr. Machine Learning Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $142,000 to $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.

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)
  
  

L-yra 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, free food, regular community celebration…and more!

We can’t wait to meet you.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Mental Health Care

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