Software Engineer, Frontier Data Products

Навыки

• AWS
• Отладка и поиск ошибок
• Распределённые системы
• Machine Learning
• Мониторинг и observability
• PostgreSQL
• Python

О компании и продукте

• 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.
• Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
• Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Задачи

• Design services and state models for multi-stage workflows that fan out across automated processing and expert reviewers, then reconcile results into a coherent whole
• Build orchestration primitives — retries, failure recovery, idempotency, auditable state transitions — for jobs that run far longer than a request and can be partially redone after the fact
• Integrate model inference into production workflows without sacrificing debuggability or human oversight
• Build the APIs and tooling that let product, operations, and ML teams operate, debug, and trust these systems at scale
• Own reliability and observability for workflows where a silent failure means a corrupted result, not just a 500
• What Makes This Role Different
• You are building the core infrastructure that sits directly between customer requests and the outputs that ship — not internal tooling, not a support system
• This product area is young and strategically central
• early engineers are deciding the architecture, not inheriting it
• The inputs are non-deterministic by nature — you are building durable orchestration over humans and models that can disagree with each other on hour 40 of a multi-stage job
• Moving fast on genuinely hard systems problems — ambiguity is the default, not the exception
• Working closely with product, operations, and ML teams to translate a tangle of constraints into clean system design
• Debugging complex stateful workflows where the failure surface spans automated steps, model calls, and human reviewers
• Owning your systems end-to-end: design, ship, operate, improve

Требования

• Production backend experience with strong opinions about what ages well and why
• Sharp instincts for system design, service boundaries, and where to put complexity — and where to refuse it
• Fluency with the distributed systems toolkit: async workflows, queues, idempotency, retries, and long-running jobs as practice, not resume line items
• Ability to take ambiguous product, operational, and ML constraints and turn them into a system that is clean and debuggable
• Comfort working in Python on AWS with Postgres
• experience with Temporal or similar workflow engines is a plus
• You're likely someone who
• Gets frustrated by systems that are hard to debug and takes that personally enough to fix it
• Has strong opinions about where state should live and can defend them in a design review
• Moves fast but doesn't treat reliability as someone else's problem
• Wants your work to have a short, visible line to outcomes that actually matter to customers

Условия

• Bi-annual performance bonus structure
• Generous equity grant vested over 4 years
• Up to $15k Relocation bonus
• $10K housing 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

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