Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Fetch, America's leading rewards platform, is seeking a Senior Machine Learning Engineer to join their innovative ML Engineering team. The company has delivered over $1 billion in rewards and earned 5 million five-star reviews, backed by major investors like SoftBank and Univision.
The role focuses on developing and scaling ML models for receipt understanding, fraud detection, ads ranking, recommendation, search, and discovery. You'll be responsible for the complete ML lifecycle, from data management to production deployment, processing hundreds of events per second. The ideal candidate should excel in both model training and deployment, with strong Python skills and experience with frameworks like PyTorch and TensorFlow.
Working at Fetch means joining a Forbes-recognized Best Startup Employer with a people-first culture. The company offers comprehensive benefits including equity, 401k matching, healthcare coverage, generous parental leave, and flexible work arrangements. You'll collaborate with talented engineers either remotely or from offices in Madison, Birmingham, or Chicago.
This is an excellent opportunity for an experienced ML engineer who enjoys solving complex problems, working with large-scale systems, and making data-driven decisions. The role combines technical expertise with business impact, as ML is core to Fetch's product and future growth. Join a team that's reshaping how brands and consumers connect while working on cutting-edge ML applications.
Responsibilities For Senior Machine Learning Engineer
- Develop ML models and infrastructure for scale operations
- Manage full ML lifecycle including data labeling/collection/management
- Model development and deployment in large scale production settings
- Work with backend, devops and data engineers
- Create value in fast-moving environment
Requirements For Senior Machine Learning Engineer
- 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 model mathematics
Benefits For Senior Machine Learning Engineer
- Equity participation in company growth
- Dollar-for-dollar 401k match up to 4%
- Comprehensive medical, dental and vision plans including pet coverage
- $10,000 per year education reimbursement
- Employee Resource Groups
- Flexible PTO with 9 paid holidays
- 20 weeks paid parental leave for primary caregivers
- 14 weeks for secondary caregivers
- $2,000 Calvin Care Cash for new family members
- Flexible work environment
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