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Senior Machine Learning Engineer - Scan, Match and Catalog
Fetch
WorldwideRemote1mo ago
- Employment
- Full-time
- Seniority
- Senior
About the role
- 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.
- Use AI tools to accelerate development and improve system design, including:
- Prototyping and validating ideas with LLM tools.
- Leveraging AI for code iteration and experimentation.
- Using AI assistants for architecture diagramming and design validation.
- Exploring LLM-powered features where appropriate.
- 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.
- Experience with AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, or similar) to improve development efficiency and code quality.
- Ability to critically evaluate AI-generated outputs, with strong debugging and problem-solving skills to validate correctness.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. Equivalent practical experience considered in lieu of degree.
- Familiarity with AI tools and frameworks like AWS Bedrock, Langchain, vector databases, or similar AI orchestration technologies.
- Experience with machine learning workflows and large language models (LLMs).
- Familiarity with orchestrating ML-driven actions in high-complexity or high-throughput environments.
- Hands-on experience with computer vision and OCR, such as receipt/document parsing, layout-aware modeling, or image-based ML pipelines.
- Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
- Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)
Perks & benefits
- 401k
- Vision Insurance
- Unlimited Vacation
- Paid Time Off
- Pension Matching
- Learning Budget
- Equity Compensation
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