Senior Machine Learning Engineer

Button Inc

Remote
Base: $153,000 - $198,000; bonus/equity: not speci...
Remote
Production machine learning systems
Feature pipelines and feature stores
Cloud environments especially aws
Button’s mission is to empower companies shaping the creator and affiliate economy by fueling mobile growth with innovation and new monetization paths

Job Summary

  • Button’s mission is to empower companies shaping the creator and affiliate economy by fueling mobile growth with innovation and new monetization paths.
  • As a Senior Machine Learning Engineer, you will own the end-to-end ML lifecycle, working closely with product managers, data scientists, and engineers to build reliable production ML systems.
  • Button offers a RemotePlus workplace, competitive salary range, comprehensive benefits including 401(k) contributions, unlimited time off, mental health weeks, and a commitment to an inclusive and supportive work environment.

Matching Summary

Button’s mission is to empower companies shaping the creator and affiliate economy by fueling mobile growth with innovation and new monetization paths.

Salary

Base: $153,000 - $198,000; Bonus/Equity: Not specified; Benefits: 401(k) with 3% company contribution, health/vision/dental insurance premiums covered, unlimited time off, mental health weeks, stipends, and coworking memberships

Skills & Requirements

Must-have

  • production machine learning systems
  • feature pipelines and feature stores
  • cloud environments especially AWS
  • Python and SQL fluency
  • data pipeline design and operation
  • model deployment and monitoring

Nice-to-have

  • experience with Amazon SageMaker
  • familiarity with Redis and Spark
  • knowledge of streaming and distributed data processing
  • machine learning frameworks like PyTorch or TensorFlow
  • collaborative cross-functional teamwork
  • working in ambiguous problem spaces

Key Requirements

  • 5+ years professional experience in machine learning or related engineering roles
  • proven experience deploying and maintaining ML models in production
  • experience working in cloud environments especially AWS
  • experience with orchestration and data modeling tools like Airflow or dbt
  • fluency with Python and SQL

Work Rights

Not specified

Tailored Resume

Cover Letter