Software Engineer, Applied AI - Frontier Engineering (NYC)

The role

You will build, deploy, and operate systems between frontier AI research and data delivery. You will own projects end-to-end, including creating data creation pipelines and improving model-adjacent infrastructure.

What you will do

• Partner closely with frontier AI labs to understand data, post-training, and evaluation needs
• Build and operate scalable data pipelines for post-training workflows and model evaluations
• Design and build scalable systems for synthetic data generation and data quality
• Work directly with customers to understand requirements and develop technical solutions
• Prototype new data types, benchmarks, and evaluation frameworks
• Lead technical discussions with customers

Required qualifications

• Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
• Experience with model training and inference
• Strong grounding in statistical analysis and experimental design for measuring model performance and improvements
• Familiarity with evaluation methods for large language models
• Comfort working through ambiguity and shipping iteratively

Nice to have

• Enjoys ownership and customer-facing problem solving
• Thinks entrepreneurially and moves quickly
• Balances speed with engineering rigor
• Communicates clearly with technical and non-technical users

Benefits

• Bi-annual performance bonus structure
• Generous equity grant vested over 4 years
• Up to $15k Relocation bonus
• $10K proximity bonus (if you live within 0.5 miles of our office)
• $1.5K monthly stipend for meals
• Free Equinox membership
• $200 monthly laundry reimbursement
• $200 monthly personal wellness reimbursement
• Health, Dental, Vision insurance

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.