Software Engineer - Machine Learning
- New York City, United States
- Remote
- Negotiable
Full-Time
Deadline: 30 Jan, 2026
- Posted: 3 weeks ago
- Vacancy: 2
- Gender: Male
We are seeking a Machine Learning Software Engineer to join Fetch’s Scan, Match & Catalog team. This role sits at the intersection of applied machine learning, data engineering, and production systems, with a focus on improving receipt understanding, product matching, and catalog enrichment at scale. You will partner closely with product, operations, and platform teams to deliver ML-driven automation, including computer vision and OCR pipelines, LLM-based workflows, and scalable ML services.
Role Responsibilities
- Build and scale ML models across the scan, match and catalog pipeline, supporting receipt understanding, product matching, and catalog enrichment.
- Implement and iterate on active learning strategies, including data sampling, error-driven retraining, and human-in-the-loop workflows.
- Leverage LLMs to reduce model training and annotation effort, including synthetic data generation, assisted labeling, weak supervision, and error analysis.
- Own ML experimentation, evaluation, and production inference for assigned SMaC components.
- Collaborate with product, data, and platform partners to translate quality gaps into ML improvements.
Minimum Requirements
- 4+ years experience in software engineering, with production-level coding experience.
- Strong proficiency in Python for ML development, with working knowledge of Go, and hands-on experience deploying models into production systems. Experience with AWS technologies and distributed systems.
- Practical experience applying LLMs to reduce training and annotation effort, including assisted labeling, synthetic data generation, weak supervision, or error analysis.
- Strong engineering mindset with the ability to deliver reliable, maintainable, and scalable systems.
Preferred Requirements
- Equity: We offer employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
How To Apply
Please contact us at accommodations@fetch.com.