Hybrid Machine Learning Engineer — AI Agent Platform

Zoomcar; San Francisco (CA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health care

Disability and life insurance

401(k) matching

Paid parental leave

Paid time off

Floating holidays

Home office stipend

Professional development budget

Job summary

Superhuman is building a platform for AI Agents to collaborate and solve arbitrarily complex tasks. As a Machine Learning Engineer on this team, you will be at the heart of our transformation, shaping ML foundations and user experiences.

You will own core ML systems, advance NLP/LLM capabilities, and work with cross-functional teams in a fast-paced environment, delivering impactful, scalable solutions with autonomy.

Qualifications

• MS/PhD in Computer Science.
• 5+ years of industry experience as ML engineer or applied research scientist.
• A deep understanding of modern ML algorithms, NLP, and LLMs.
• Experience building LLM-based products.

Responsibilities

• Shape the future of productivity by evolving Grammarly into an AI-native enterprise suite.
• Build a groundbreaking AI agent platform for multi-agent collaboration.
• Own core ML systems including search ranking and proactive suggestions.
• Integrate cutting-edge AI with the latest models to deliver magical user experiences.
• Thrive in a high-impact, autonomous, fast-paced environment.

Skills

Machine learning

NLP

LLMs

Independent work

Education

MS/PhD in Computer Science

Job description

Superhuman is building a platform for AI Agents to collaborate and solve arbitrarily complex tasks. As a Machine Learning Engineer on this team, you will be at the heart of our transformation, shaping ML foundations and user experiences.

You will own core ML systems, advance NLP/LLM capabilities, and work with cross-functional teams in a fast-paced environment, delivering impactful, scalable solutions with autonomy.