Senior AI/ML Engineer
Core
Design and ship end-to-end ML systems including data pipelines, training, evaluation, and inference serving for enterprise customers.
Role type
Senior AI/ML Engineer
Builds
Production-grade ML infrastructure
Domain
AI/ML infrastructure for enterprise
Deliverable
production ML models
Required skills
LLMs, fine-tuning, RAG, large-scale recommender systems, Python, PyTorch, JAX, distributed training, GPU optimization, inference serving
Preferred skills
None stated
Technologies
None explicitly listed beyond frameworks
Responsibilities
Design and ship end-to-end ML systems; Own model performance, latency, and cost trade-offs; Build evaluation harnesses and offline benchmarks; Translate ambiguous product goals into measurable model improvements; Mentor engineers on ML best practices
Seniority
Senior, hands-on IC
Sourced via ashby · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.