Full-Time

Senior Machine Learning Engineer I

Posted on 7/22/2024

Spring Health

Spring Health

1,001-5,000 employees

Personalized mental health solutions for employers

Healthcare

Compensation Overview

$159.1k - $194.2kAnnually

+ Incentive Pay + Equity

Mid, Senior

New York, NY, USA

Hybrid model; 33% of team members work in-office in New York City.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Data Science
Data Structures & Algorithms
Pytorch
SQL
Data Analysis
Requirements
  • Degree in a STEM, Economics, or related quantitative field, and at least 3 years of commercial experience in a ML engineer role, or a related role such as data/backend engineer with direct experience in data science products.
  • Proficient in Python and SQL, including standard modeling libraries such as Pytorch and Scikit-Learn.
  • Experience building data pipelines for models and analytics (eg. Airflow, Prefect, or similar).
  • Experience with deploying and managing model endpoints (eg. Sagemaker, Vertex AI, or similar).
  • Proficiency with GenAI workflows (eg. RAG, prompt-engineering).
Responsibilities
  • Contribute to the development of algorithms and datasets that power a personalized member care journey and data products that enhance caregiver capabilities and outcomes.
  • Develop and bring to production data-centric product features like search and personalized recommendations.
  • Develop an AI Platform to support new data products across the company.
  • Build GenAI products to improve both member and provider experiences.
  • Monitor and continuously improve deployed models.

Spring Health provides personalized mental health solutions aimed at improving employee well-being for organizations and health plans. Their main offering, Precision Mental Healthcare, tailors mental health support to individual needs, which can include digital resources, meditation, therapy, and medication. Users begin with a brief assessment that leads to a customized care plan and a list of appropriate providers from Spring Health's network. The platform is user-friendly, allowing users to schedule appointments and access wellness exercises easily. A unique feature is the Care Navigator, which offers clinical guidance and emotional support throughout the mental health journey. Unlike competitors, Spring Health focuses on a comprehensive, personalized approach to mental health care, making it easier for employers to support their employees' mental well-being. The company's goal is to enhance mental health accessibility and effectiveness in the workplace.

Company Stage

Series E

Total Funding

$452.3M

Headquarters

New York City, null

Founded

2016

Growth & Insights
Headcount

6 month growth

12%

1 year growth

36%

2 year growth

115%
Simplify Jobs

Simplify's Take

What believers are saying

  • Spring Health raised $100M in Series E funding, valuing it at $3.3 billion.
  • The company covers over 10 million lives through 450 employers and strategic partnerships.
  • Spring Health's Community Care solution addresses mental health equity and social determinants.

What critics are saying

  • Emerging startups offer similar services at lower costs, increasing competition.
  • Rapid AI advancements may outpace Spring Health's current technological capabilities.
  • Economic downturns could reduce corporate spending on employee benefits, affecting demand.

What makes Spring Health unique

  • Spring Health offers Precision Mental Healthcare for personalized mental health solutions.
  • The company provides a comprehensive platform with digital support, therapy, and medication.
  • Spring Health's Care Navigator offers clinical guidance and emotional support to users.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Retirement benefits

Paid time off

Healthcare benefits

Insurance benefits

Work-life benefits

Mental health benefits

INACTIVE