Staff Machine Learning Engineer

Join the

Base Ads / Spindl

team at Coinbase to help build the first natively onchain advertising ecosystem. As the first Machine Learning Engineer on the team, you’ll lead the development of ranking systems and infrastructure from the ground up, contributing to a transparent, open ad protocol called

Flywheel . This is a high-impact, early-stage opportunity with broad ownership and visibility.

Key Responsibilities :

Design and deploy ML models in production for feed ranking, recommendations, targeting, fraud detection, and analytics.

Leverage advanced ML techniques including

deep learning, LLMs, and graph neural networks .

Collaborate cross-functionally on feature engineering, model integration, and backend systems.

Build onboarding tools and infrastructure to scale ML capabilities across Base.

Work with large-scale data pipelines and support ML development using industry-standard tools.

Requirements :

7+ years experience in

machine learning and backend systems .

Proven ability to develop and scale ML models in production environments.

Strong backend engineering skills, especially in data processing and analytics systems.

Curiosity and enthusiasm for the

crypto and onchain ecosystem .

Strong communication skills and ability to drive initiatives independently.

Preferred Skills :

Background in CS, ML, Data Science, or a related technical field (BS / MS / PhD).

Experience with

Apache Airflow, Spark, Flink, Kafka / Kinesis, Snowflake .

Proficiency in

Python

and experience with responsible AI and model interpretability.

Skilled in data analysis and visualization techniques.

Compensation :

$218,025 – $256,500 USD (plus equity, bonus, and full benefits)

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