Senior Software Engineer, Machine Learning

Point72

New York, NY, United States
Base: $175,000-$250,000; bonus/equity: discretiona...
On-site
Mlops framework ownership
Large-scale data processing pipelines
Event-driven architecture design
You will architect and implement the full lifecycle of ML models, from data ingestion to production inference, contributing to the design of our next-generation, event-driven architecture

Job Summary

  • You will architect and implement the full lifecycle of ML models, from data ingestion to production inference, contributing to the design of our next-generation, event-driven architecture.
  • You will engineer and automate robust, large-scale data processing pipelines (ETL/ELT) and lead the design and implementation of our Feature Store strategy.
  • The company provides fully-paid health care benefits, generous parental and family leave policies, and support for employee-led affinity groups.

Matching Summary

You will architect and implement the full lifecycle of ML models, from data ingestion to production inference, contributing to the design of our next-generation, event-driven architecture.

Salary

Base: $175,000-$250,000; Bonus/Equity: discretionary bonus compensation; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • MLOps framework ownership
  • large-scale data processing pipelines
  • event-driven architecture design
  • cloud infrastructure management
  • containerization and orchestration
  • CI/CD and ML lifecycle tools

Nice-to-have

  • investor-led culture
  • employee-led affinity groups
  • cutting-edge AI solutions

Key Requirements

  • 5+ years of experience
  • Strong proficiency in SQL
  • Experience with Spark, dbt, and workflow orchestrators
  • Experience with Terraform
  • Proficiency with Docker and Kubernetes
  • Experience with AWS services
  • Experience with GNNs, recommendation systems, anomaly detection

Work Rights

Not specified

Tailored Resume

Cover Letter