Mercor Logo

Mercor

Software Engineer, Backend

Posted 16 Days Ago
In-Office
San Francisco, CA
Mid level
In-Office
San Francisco, CA
Mid level
As a Software Engineer, you'll design and build backend systems, collaborate with teams to deliver features, write maintainable code, and solve customer problems that impact AI companies.
The summary above was generated by AI
About Mercor

Mercor is at the intersection of labor markets and AI research. 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 $1.5 million a day.

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 new San Francisco headquarters.

About the Role

As a Software Engineer at Mercor, you’ll join a small, product-driven engineering team building modern backend systems that power critical workflows for some of the most advanced AI companies in the world. You’ll own projects end-to-end, designing, building, and shipping production systems that directly impact customers. From day one you’ll write production-grade code, reason about systems holistically, and make decisions that tie directly to business outcomes. You’ll work closely with product and design, moving fast while upholding a high bar for code quality, scalability, and simplicity.

At the end of the process, you’ll be team-matched to where you can have the most impact, on one of the following:

  • Talent platform side – building next-generation tools that automate recruiting end-to-end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments.

  • Applied AI/human data side – partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities.

What You’ll Do

  • Design and build scalable backend APIs, services, and infrastructure.

  • Collaborate across the stack with product and design to ship features quickly.

  • Write clean, maintainable code and contribute to documentation.

  • Participate in code reviews, technical design discussions, and retros.

  • Solve real-world customer problems under real-world constraints.

  • Contribute to core systems that power training, evaluation, and scaling for leading AI labs.

What We’re Looking For

  • Strong coding fundamentals in at least one modern language (Python, Go, Rust, etc.).

  • Understanding of data structures, algorithms, and distributed systems.

  • Familiarity with APIs, SQL/NoSQL databases, and cloud platforms (AWS/GCP).

  • Bias toward ownership, curiosity, and asking the right questions.

  • Ability to break down ambiguity and ship simple solutions to complex problems.

Why Mercor

  • Impact: Your work powers how the world’s leading AI labs train and test their models.

  • Learning: Get early insights into frontier model capabilities months before the market.

  • Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.

Benefits

  • Generous equity grant vested over 4 years

  • A $20K relocation bonus (if moving to the Bay Area)

  • A $10K housing bonus (if you live within 0.5 miles of our office)

  • A $1K monthly stipend for meals

  • Free Equinox membership

  • Health insurance

Top Skills

AWS
GCP
Go
Python
Rust
HQ

Mercor San Francisco, California, USA Office

San Francisco, California , United States, 94105

Similar Jobs

2 Days Ago
Hybrid
4 Locations
225K-281K Annually
Senior level
225K-281K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Seeking a Senior Lead Software Engineer to lead technology projects, mentor developers, and leverage cloud computing and diverse technologies for regulatory solutions.
Top Skills: AWSDockerGoGCPJavaKubernetesAzureNode.jsNoSQLOpen Source RdbmsPythonScalaSQL
3 Days Ago
Easy Apply
Hybrid
Palo Alto, CA, USA
Easy Apply
120K-215K Annually
Mid level
120K-215K Annually
Mid level
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
The Senior Software Engineer will develop and enhance backend solutions for Navan's expense management software, ensuring data integrity and collaboration with cross-functional teams.
Top Skills: AWSJavaPythonRestful ApisSpring Boot
4 Days Ago
Remote or Hybrid
San Diego, CA, USA
156K-273K Annually
Senior level
156K-273K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop and optimize database functionalities using C/C++. Collaborate with teams on performance, reliability, and modern software development practices.
Top Skills: AIC++PostgresSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account