Sr. Machine Learning Engineer
Core
Build and operate production ML systems, pipelines, and platforms to enable scalable, reliable model training, evaluation, and inference for B2B SaaS customers.
Role type
Senior IC Machine Learning Engineer (MLOps/Platform)
Builds
Production ML pipelines, model-serving infrastructure, and shared platforms for Data Science and product teams
Domain
B2B SaaS / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, MLOps, distributed systems, model lifecycle management, incident response, technical design, stakeholder communication
Preferred skills
MLflow, Databricks, Ray, Kubernetes, Triton, LLM/agent evaluation, feature stores, RAG, vector search
Technologies
Spark, Ray, Databricks, Kubernetes, AWS, MLflow, Triton, LangGraph, LangSmith, Amazon Bedrock
Responsibilities
Own end-to-end production ML capabilities from pipeline design to operational improvement; Build scalable training, model-refresh, and inference workflows; Design model lifecycle controls including evaluation gates and monitoring; Build platform primitives to accelerate team shipping; Improve performance and observability of distributed ML workloads; Partner with Data Science on evaluation and debugging; Lead technical design for ambiguous projects and mentor engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
