Machine Learning Engineer at Auror, using data science to reduce retail crime through innovative ML systems. Collaborate with product teams and develop impactful solutions leveraging real - time data.
About the role
- Machine Learning Platform Engineer for Coinbase, building foundational components for ML at scale. Collaborating on fraud combat, personalizing user experiences, and blockchain analysis.
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.
Requirements
- 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 haves:
- Experience building ML models and working with ML systems.
- Experience working on a platform team, and building developer tooling.
- Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
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