CareerPlan

Senior AI/ML Engineer

San FranciscoFull-time2026-06-03 → 2026-11-11
On-site · United States

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