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Mercor

60 Mercor Networking Jobs Hiring Near You

Mercor

Software Engineer, Machine Learning

San Francisco, CA · On-site

$130K - $500K/yr

... Mercor's hiring engine. This includes search and ranking, candidate-job matching, marketplace recommendations, personalization, and allocation decisions across a rapidly growing talent network. This ...

Mercor

Recruiting Operations

San Francisco, CA · On-site

$90K - $120K/yr

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a ... Help plan and execute recruiting events (e.g.,Superdays, candidate dinners, networking events)

Mercor

Enterprise Applied AI Leader

New York, NY · On-site

$300K - $520K/yr

This full-time leadership role sits within Applied AI (the Forward Deployed Engineering team of our Enterprise AI organization) and operates separately from Mercor's expert network. We're hiring ...

Mercor

Enterprise Applied AI Leader

New York, NY · On-site

This full-time leadership role sits within Applied AI (the Forward Deployed Engineering team of our Enterprise AI organization) and operates separately from Mercor's expert network. We're hiring ...

Mercor

Enterprise Applied AI Leader

San Francisco, CA · On-site

This full-time leadership role sits within Applied AI (the Forward Deployed Engineering team of our Enterprise AI organization) and operates separately from Mercor's expert network. We're hiring ...

Mercor

Recruiting Operations

San Francisco, CA

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a ... Help plan and execute recruiting events (e.g.,Superdays, candidate dinners, networking events)

Mercor

Procurement Operations Lead

San Francisco, CA · On-site

$160 - $220/hr

Today, more than 30,000 experts in our network collectively earn over $3 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ...

Mercor

Supply Chain Expert - F500 Specialist

New York, NY · Remote

$60 - $70/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Apply enterprise supply chain methodologies ( Lean/Six Sigma , network optimization modeling, risk ...

Mercor

Technology Operations Lead

San Francisco, CA · On-site

Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor ... Network troubleshooting (DNS, VPNs, VLANs) * Scripting and automation (Python, Bash) and APIs for ...

Mercor

Technology Operations Lead

San Francisco, CA · On-site

$100K - $200K/yr

Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor ... Network troubleshooting (DNS, VPNs, VLANs) * Scripting and automation (Python, Bash) and APIs for ...

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    Infographic showing various Networking job openings at Mercor in the United States as of August 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 13% Physical, and 87% Remote job distribution.

    Software Engineer, Machine Learning

    Mercor

    San Francisco, CA • On-site

    $130K - $500K/yr

    Full-time

    Medical, Dental, Vision

    Re-posted 14 days ago

    Job description

    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
    As a Machine Learning Engineer on the Marketplace team, you will build the models and decision systems that power Mercor's hiring engine. This includes search and ranking, candidate-job matching, marketplace recommendations, personalization, and allocation decisions across a rapidly growing talent network.
    This is an applied ML role with direct product and revenue impact. You will work on problems shaped by real marketplace constraints: sparse and delayed labels, cold start, noisy feedback, heterogeneous supply and demand, and the need to optimize across speed, quality, and conversion simultaneously.
    What You'll Build
    • Ranking and matching systems that determine which candidates and opportunities are surfaced
    • Models for recommendation, personalization, and marketplace optimization
    • Retrieval, scoring, and decision pipelines operating at global scale
    • Feedback loops that learn from downstream hiring outcomes, not just top-of-funnel engagement
    • Real-time and batch inference systems embedded in product-critical workflows

    Example Problems
    • Improve candidate-job matching using embeddings, structured attributes, and behavioral signals
    • Optimize ranking toward long-term hiring outcomes under delayed and incomplete labels
    • Design models that balance marketplace objectives such as fill rate, quality, speed, and conversion
    • Build systems for candidate allocation, opportunity routing, and liquidity optimization
    • Develop evaluation and experimentation frameworks that connect model performance to business results

    What We're Looking For
    • Strong track record of shipping ML systems into production
    • Experience with ranking, recommendation, search, matching, or marketplace problems
    • Good judgment on model design, objective functions, evaluation, and tradeoffs
    • Comfort working across the full applied ML stack: data, features, training, inference, and iteration
    • Strong engineering fundamentals and a bias toward simple, robust systems

    Why This Role
    This role sits on a core decision layer of the product. Your work will directly shape how talent is discovered, matched, and hired, and will influence fundamental marketplace outcomes across quality, speed, and revenue.
    Tech Stack
    Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
    Benefits
    • 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

    Apply