4 months ago
Base Salary
$211k - $249k/yr
Responsibilities
- Design, build, and improve machine learning models for ad ranking, relevance, and optimization.
- Implement active learning strategies including data sampling, error-driven retraining, and human-in-the-loop workflows.
- Use LLMs for synthetic data generation, assisted labeling, weak supervision, and ranking-error analysis.
- Own ML experimentation, offline and online evaluation, and production inference for ad-ranking components.
- Partner with product, data, and platform teams to translate advertiser and user-experience gaps into measurable ML improvements.
- Maintain model performance, reliability, latency, and data quality in production ranking systems.
- Use AI-assisted tools for development, experimentation, debugging, architecture validation, and technical prototyping.
Requirements
- 8+ years of software engineering experience building and maintaining production ML or data-driven systems.
- Strong proficiency in Python for machine learning and data processing, working knowledge of Go, and experience deploying low-latency models into production ranking or decisioning systems.
- Experience with AWS and distributed systems, including scalable training pipelines and online inference services.
- Practical experience applying LLMs to model development and data-labeling workflows.
- Strong engineering judgment and systems thinking focused on reliability, performance, and maintainability.
- Experience using AI-assisted development tools such as GitHub Copilot or ChatGPT.
- Ability to evaluate AI-generated outputs, debug complex issues, and validate production ML workflows.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience is preferred.
- Familiarity with AWS Bedrock, LangChain, vector databases, or similar orchestration technologies is preferred.
- Experience with LLM workflows, prompt-driven systems, ranking or recommendation systems, and applied ML for relevance, ranking, or personalization is preferred.
- Experience working in small, cross-functional teams with product, data, and platform stakeholders is preferred.
Benefits
- Full-time role available from one of Fetch’s US offices or remotely within the United States.
- Compensation package includes base salary, equity, and benefits.
Categories
About Fetch
Fetch builds a consumer rewards app where users earn points by scanning receipts and redeem them for gift cards, while brands use its SKU-level, retail-agnostic purchase data for targeted, outcomes-based advertising and measurement. The privately held company, founded in 2013, processes over 13 million receipts daily, creating visibility into more than $200 billion in gross merchandise value. Its platform has awarded over $1 billion in points and operates a hybrid-remote workplace.