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Software Engineer, Applied AI - Frontier Engineering (NYC)

$160,000–$500,000 + equityNew York, NYOn-siteFull-time

Build and operate production systems connecting frontier AI research with data delivery, including post-training pipelines, model evaluations, synthetic data generation, and evaluation frameworks.

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At a glance

Posted base pay

$160K–$500KAbove the median

Midpoint $330K · median $190K

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Technical lead

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Conditions

Location
New York, NY
Work arrangement
On-site
Employment type
Full-time
Pay
Pay details

$160K – $500K • Offers Equity

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The job description from Mercor

Posted by Mercor on

About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.

About the Role

On the Software Engineer, Applied AI - Frontier Engineering team , you’ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery.

This is a high-ownership, deeply technical role. You’ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production. You’ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor’s internal teams to ship high-impact applied AI solutions.

What You’ll Do

  • Partner closely with frontier AI labs to understand their 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, and work directly with customers to understand requirements and develop technical solutions
  • Prototype new data types, benchmarks, and evaluation frameworks
  • Lead technical discussions with customers

What Makes This Role Different

  • Direct frontier exposure. You’ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research.
  • Coding + customer work. This role blends deep technical execution with customer interaction. Engineers who enjoy both building and communicating tend to thrive.

Day-to-Day

  • Fast-moving, high-ownership environment
  • Technically demanding, collaborative work
  • “Building the plane while flying it”
  • In-person culture at our new New York office at One World Trade Center
  • Aligned with frontier research timelines

What We’re Looking For

  • 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

You’re likely someone who

  • 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

Why Engineers Join

  • Direct exposure to frontier AI research
  • Real ownership and visible impact
  • Technical depth paired with human interaction
  • Fast feedback loops and high leverage
  • There are very few roles that combine this level of technical rigor, customer proximity, and research exposure.

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

View posting at Mercor

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About Mercor

Marketplace matching domain experts with AI labs and enterprises to produce training data, evaluations, and production AI workflows.

Series C · 200–500 people

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