Senior Machine Learning Engineer

America's Rewards App that enables consumers to earn rewards for buying brands they love, with over $1 billion in rewards delivered and 5 million five-star reviews.
Machine Learning
Senior Software Engineer
Remote
501 - 1,000 Employees
5+ years of experience
AI · Consumer

Description For Senior Machine Learning Engineer

Fetch, America's leading Rewards App, is seeking a Senior Machine Learning Engineer to join their innovative ML Engineering team. The role focuses on developing and scaling intelligent systems that power receipt understanding, fraud detection, ads ranking, and recommendation systems. As a Senior ML Engineer, you'll work on the full lifecycle of machine learning projects - from data collection and model development to large-scale production deployment. The position requires expertise in Python and ML frameworks, with opportunities to work on cutting-edge applications including LLMs and semantic search. Fetch offers a collaborative environment where engineers tackle complex challenges while maintaining high technical standards. The company, backed by major investors like SoftBank, has delivered over $1 billion in rewards and earned 5M+ five-star reviews. They provide comprehensive benefits including equity, healthcare, education reimbursement, and flexible work arrangements. This role offers a unique opportunity to impact millions of users while working with modern ML technologies in a fast-growing company that values innovation and technical excellence.

Last updated 2 days ago

Responsibilities For Senior Machine Learning Engineer

  • Develop ML models and infrastructure for scale operations
  • Manage full life-cycle of machine learning including data labeling/collection/management
  • Model development and deployment to large scale production
  • Work with backend, devops and data engineers
  • Create value in fast moving environment

Requirements For Senior Machine Learning Engineer

Python
  • Excellent programming skills in Python
  • Experience training ML models using Python frameworks like Pytorch, TensorFlow
  • Experience deploying models in production environment with high traffic
  • Experience deploying applications in public cloud environments like AWS
  • Strong understanding of ML mathematics

Benefits For Senior Machine Learning Engineer

Equity
401k
Medical Insurance
Dental Insurance
Vision Insurance
Education Budget
Parental Leave
  • Equity participation
  • 401k match up to 4%
  • Comprehensive medical, dental and vision plans including pet insurance
  • $10,000 per year education reimbursement
  • Employee Resource Groups
  • Flexible PTO plus 9 paid holidays
  • 20 weeks paid parental leave for primary caregivers
  • 14 weeks for secondary caregivers
  • $2,000 childcare incentive for new parents
  • Flexible work environment - office or remote

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