Grammarly
Machine Learning Engineer
$250K–$385K
Hub - San Francisco +1 · Hybrid · Full-time · Posted Sep 28, 2026
- Location
- Hub - San Francisco
Hub - New York - Experience
- 5+ years of industry experience as a machine learning engineer or applied research scientist.
- Education
- MS / PhD in Computer Science.
About the job
Build the machine-learning systems and agent platform that let AI agents plan and carry out complex tasks, retrieve information, and make proactive suggestions across users’ apps.
What you'll do
- Develop agent orchestration, routing, planning, memory, and action systems.
- Build and deploy models for search ranking and proactive suggestions; design evaluations and improve runtime speed and cost.
- Integrate current AI models into product experiences and ensure quality for end users.
What they ask for
- MS / PhD in Computer Science.
- 5+ years of industry experience as a machine learning engineer or applied research scientist.
- Deep understanding of modern algorithms and approaches to ML, NLP, and LLMs.
- Experience building LLM-based products.
Pay
$250K – $385K (base salary; currency not specified)
Tools
ML, NLP, LLMs
AI focus
Build an AI agent platform, including agent planning and orchestration, memory and actions, search and proactive suggestions, and evaluation and optimization of LLM-based experiences.
Model-written summary · the original posting is authoritative