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Full-Time

Senior Machine Learning Engineer I

Confirmed live in the last 24 hours

Spring Health

Spring Health

1,001-5,000 employees

Personalized mental health solutions for employers

Healthcare
Consumer Software

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 approach, known as Precision Mental Healthcare, involves assessing individuals to determine the most appropriate mental health support, which can include digital resources, therapy, and medication. The platform is user-friendly, allowing users to complete a brief assessment that generates a personalized care plan and connects them with suitable providers. Key features include appointment scheduling, on-demand wellness exercises, and access to a Care Navigator for ongoing support. Unlike competitors, Spring Health focuses on tailoring mental health services to the specific needs of each individual, ensuring a more effective and supportive experience. The company's goal is to enhance mental health accessibility and effectiveness for employees through comprehensive support systems.

Company Stage

Series D

Total Funding

$366.7M

Headquarters

New York City, null

Founded

2016

Growth & Insights
Headcount

6 month growth

14%

1 year growth

42%

2 year growth

127%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaborations with major health plans like Highmark Health expand access points and enhance service offerings, indicating strong growth potential.
  • The launch of innovative tools like Atlas and Sage demonstrates Spring Health's commitment to leveraging technology for better mental health outcomes.
  • High-profile partnerships with companies like General Mills and LinkedIn validate the platform's effectiveness and market acceptance.

What critics are saying

  • The highly competitive mental health sector requires continuous innovation to maintain a competitive edge.
  • Integration of new services and partnerships, such as with Eleanor Health, may pose operational challenges and strain resources.

What makes Spring Health unique

  • Spring Health's Precision Mental Healthcare system offers highly personalized mental health support, setting it apart from more generalized solutions.
  • The introduction of Atlas, a recommendation engine for workplace mental health, provides data-driven insights and action plans, enhancing the value proposition for HR and benefits leaders.
  • Their comprehensive approach, including partnerships like the one with Eleanor Health for substance use disorder services, ensures a full spectrum of mental health support.

Benefits

Retirement benefits

Paid time off

Healthcare benefits

Insurance benefits

Work-life benefits

Mental health benefits