Senior ML Engineer - Ads Platform (Remote)

Loeb Enterprises, LLC; United States; Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Equity

401k Match

Medical, dental, vision for you and/or

Education reimbursement

PTO + holidays

Parental leave

Job summary

Fetch is seeking a Senior Machine Learning Engineer I for its Ads Platform to design and deploy ML-driven ranking and optimization models that power ad delivery at scale. You will work across product, data, and platform teams to build feature pipelines, training/evaluation workflows, and low-latency serving infrastructure.

You will explore active learning, LLM-based data labeling, and AI-assisted development tools to accelerate iteration while ensuring reliability, performance and data quality

Qualifications

• 5+ years of software engineering experience with a strong track record of building and maintaining production ML or data-driven systems.
• Strong proficiency in Python for ML and data processing, with working knowledge of Go, and hands-on experience deploying low-latency models into production ranking or decisioning systems.
• Experience with AWS and distributed systems, including building or operating scalable training pipelines and online inference services.
• Practical experience applying LLMs to reduce model development and data labeling effort, including assisted labeling, synthetic data generation, weak supervision, or model error analysis.

Responsibilities

• Design, build, and improve machine learning models that power ad ranking, relevance, and optimization across the Fetch platform.
• Implement and iterate on active learning strategies to improve ranking quality.
• Leverage LLMs to reduce development and annotation effort, including synthetic data generation and assisted labeling.
• Own ML experimentation, offline and online evaluation, and production inference for ranking components.
• Translate advertiser and user experience gaps into measurable ML improvements in collaboration with product/data/platform teams.
• Maintain high standards for model performance, reliability, latency, and data quality in production ranking systems.
• Use AI-assisted tools to accelerate development, debugging, and analysis while maintaining strong engineering judgment.
• Designing features and validating ideas with AI sandboxes (ChatGPT/Claude) and using AI for code generation and prototyping.

Skills

Python

Go

Production ML

AWS

LLMs

Distributed systems

Low-latency

AI-assisted tooling

Education

Bachelor’s in CS/related field

Master’s preferred

Tools

GitHub Copilot

LangChain

Vector databases

AWS Bedrock

Job description

Fetch is seeking a Senior Machine Learning Engineer I for its Ads Platform to design and deploy ML-driven ranking and optimization models that power ad delivery at scale. You will work across product, data, and platform teams to build feature pipelines, training/evaluation workflows, and low-latency serving infrastructure.

You will explore active learning, LLM-based data labeling, and AI-assisted development tools to accelerate iteration while ensuring reliability, performance and data quality