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Machine Learning Engineer, Agents
Superhuman🇺🇸In-Person - San Francisco, CA$250K–$385K/yr2mo ago
Summary
Machine Learning Engineer role at Superhuman (Grammarly) leading development of a groundbreaking AI Agent platform that enhances productivity through innovative ML systems and collaborative solutions. This foundational team position offers high autonomy and impact on a platform used by millions.
Key Responsibilities: Develop and deploy sophisticated ML models for AI agent orchestration, routing, and planning systems; build detection pipelines for fraud and abuse in shared documents; integrate cutting-edge AI technologies to create product experiences including search ranking and proactive suggestions.
Skills & Tools: Deep expertise in machine learning, NLP, and large language models with strong experience building LLM-based products; proficiency in developing ML components that integrate with advanced AI models and managing complex ML systems at scale.
Qualifications: Master's or PhD in Computer Science preferred; 5+ years of relevant industry experience in ML engineering and building production AI systems.
Location: Hybrid in San Francisco, California, United States with flexibility for remote work
Compensation: $250,000 – $385,000/year
Job Description
The full job description is available on Superhuman's website.
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