Machine Learning Engineer

Superhuman Labs, Inc.; San Francisco (CA); Hybrid; USD 250,000 - 385,000; Full time

Benefits offered by this job

Health care

Disability insurance

401(k) matching

Parental leave

Paid time off + holidays

Stipends for home office

Professional development budget

Job summary

Superhuman Labs, Inc. is seeking a Machine Learning Engineer to help build an AI agent platform and power enterprise-grade features. You will own core ML systems, contribute to search ranking and proactive suggestions, and collaborate with product teams in a fast-paced environment.

This role offers a dynamic hybrid work model, ambitious impact, and the chance to shape the future of an AI-native productivity suite.

Qualifications

• MS or PhD in Computer Science or related field.
• 5+ years of industry experience as a ML engineer or applied research scientist.
• Strong knowledge of ML algorithms, NLP, and LLMs.
• Experience building LLM-based products.
• User-focused and ability to work independently in fast-paced environments.

Responsibilities

• Shape the future of a platform for AI agents and orchestration.
• Develop and deploy ML models for core product experiences.
• Lead core orchestration, routing, and planning systems for AI agents.
• Deliver high-quality AI features with end-to-end ownership.

Skills

Machine Learning

NLP

LLMs

MLOps

Education

MS/PhD in Computer Science

Job description

Engineering, Product, Design, and Marketing Engineering

Compensation

• Zone 1 $250K – $385K

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Superhuman

Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.

The Opportunity

We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company's transformation.

Shape the Future of Productivity: Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable, AI-native productivity suite for enterprises.

Build a Groundbreaking AI Agent Platform: Spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems.

Own Critical ML Systems: Develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs.

Integrate Cutting-Edge AI: Work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences.

Thrive in a High-Impact Environment: Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast-paced, ambiguous environment.

Ship Your Work Fast: Move quickly from idea to impact. We have no red tape or endless approvals—just a focus on making meaningful contributions to a platform used by millions.

Qualifications

MS / PhD in Computer Science.

5+ years of industry experience as a machine learning engineer or applied research scientist.

A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs.

Experience building LLM-based products.

A deep care about the end-user experience and strives to ensure high quality.

Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.

Compensation and Benefits

Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).