Software Engineer, Machine Learning Platform Engineer (Platform)

Coinbase; Indianapolis (IN); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading cryptocurrency company based in Indiana seeks a passionate Software Engineer focused on enhancing machine learning infrastructure. Responsibilities include optimizing ML inference systems and improving data pipelines. Ideal candidates should have over 2 years of experience in software engineering, a strong grasp of distributed systems, and excellent coding skills. Join us to help build the future of finance with cutting-edge technology.

Qualifications

• 2+ years of industry experience as a Software Engineer.
• Strong understanding of distributed systems.
• Experience in designing, building, scaling, and maintaining production services.

Responsibilities

• Form a deep understanding of Machine Learning Engineers’ needs.
• Advance high-availability and low-latency ML inference infrastructure.
• Optimize low latency streaming pipelines.

Skills

Software Engineering

Distributed Systems

Communication Skills

High Quality Code

Tools

Python

Golang

Ray

Spark

Airflow

Databricks

Snowflake

DynamoDB

Job description

Overview

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. If you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

Responsibilities

• Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
• Advance our high-availability and low-latency ML inference infrastructure that runs both predictive ML models and LLMs.
• Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data.
• Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data.
• Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.

Qualifications

• 2+ yrs of industry experience as a Software Engineer.
• You have a strong understanding of distributed systems.
• You write high quality code and have excellent communication skills.
• You’ve designed, built, scaled and maintained production services.
• You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience.

Nice to have

• Experience building ML models and working with ML systems.
• Experience working on a platform team, and building developer tooling.
• Experience with Python, Golang, Ray, Spark, Airflow, Databricks, Snowflake, DynamoDB.

Job ID: GPMLP04US