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Bevel

Subscription-based health analytics for fitness

Senior Software Engineer - AI/ML

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$180k - $215k /yr

About the Job

Requirements

  • At least 4 years of experience designing, building, and running a large-scale backend system, including hands-on experience deploying and scaling AI/ML systems in production environments.
  • Familiarity with AI/ML tooling and infrastructure, such as training pipelines, experiment tracking, feature stores, model monitoring, and evaluation frameworks.
  • Expertise coding in TypeScript or Python.
  • Strong intuition for algorithms and working with data.
  • Strong math and statistics skills.
  • Ability to communicate ideas effectively.
  • A bias for action.
  • Ability to recognize when to ask for help and how to help others.
  • Interest in improving the health and fitness of others.

Responsibilities

  • Ship features across the entire backend stack, from data infrastructure to product endpoints.
  • Build extensible and robust business logic for processing health data.
  • Prototype, productionize, and run experiments to improve the accuracy, speed, and cost of AI/ML models.
  • Establish best practices for scalability, security, testing, and machine learning operations, including model versioning, monitoring, and alerting.
  • Continuously iterate on the engineering process and culture.

About the Company

Bevel

Subscription-based health analytics for fitness

Bevel Health builds a digital platform that provides personalized insights on fitness, sleep, and recovery for health-minded individuals through data analytics. It collects data from devices like Apple Watch, analyzes metrics such as HRV, sleep patterns, and recovery scores, and delivers tailored recommendations via a subscription service. The company differentiates itself by offering integrated, data-driven guidance across multiple wellness areas and by pursuing device partnerships to connect data rather than offering generic programs. Its goal is to help users make informed health decisions and improve overall well-being by turning health data into practical advice.

Company size
11-50
Company stage
Early VC
Total funding
$14M
Headquarters
New York City, New York
Founded
2024

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