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Member of Technical Staff, Mercor Enterprise Platform
Mercor · San Francisco, California, United States
$130k–500k
19 days ago
♡
Member of Technical Staff, Enterprise Evals Platform
Mercor · San Francisco, California, United States
$220k–425k
25 days ago
♡
Software Engineer, Search Systems - Code Data
Mercor · San Francisco, California, United States
$250k–500k
26 days ago
♡
Fullstack Software Engineer, Agent Platform
Mercor · San Francisco, California, United States
$130k–500k
29 days ago
♡
Member of Technical Staff, Deeptune Environments
Mercor · New York, New York, United States
$220k–600k
30 days ago
♡
Talent Intelligence & Analytics Manager
Mercor · San Francisco, California, United States
$140k–180k
35 days ago
♡
Software Engineer, Robotics Data
Mercor · San Francisco, California, United States
$130k–500k
43 days ago
♡
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Member of Technical Staff, Mercor Enterprise Platform
Mercor · San Francisco, California, United States
Pay
$130k–500k
Setting
On-site
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
The Mercor Enterprise Platform is what enterprise customers and our Applied AI engineers use to build and run complex agents. It is both deployed into customer environments and hosted by us. It is also the central platform for every internal agent at Mercor, scaling to several thousand agent runs per day, and still growing.
You will work across the full stack: enterprise-grade security and the routing plane, isolated execution, and the intelligence plane that turns production runs into improvements. This is a pure platform and infrastructure engineering role, though you will work closely with the Applied AI engineers embedded with our customers. The quality of this platform bounds what the business can sell.
Nobody has settled how agent platforms should be built, and this is one of the few places that question is being answered in production, with economically viable agents as the bar.
Tech we use: Go, TypeScript, Postgres, Kubernetes, Harbor, and Terraform.
Read more about how we think about this: The Three Planes of Enterprise Agent Systems https://www.mercor.com/blog/enterprise-agent-architecture/
RESPONSIBILITIES
- Design, build, and operate the services the platform is made of: authn and authz, credential brokering, routing, sandboxing, and orchestration.
- Design the interfaces other engineers build agents against, and keep the paved path the easiest one to follow.
- Build the event-driven backbone so that ingestion stays idempotent when services scale horizontally.
- Own the deployment model itself, from our hosted offering to customer VPCs and multi-cloud, so a new deployment needs no bespoke build.
- Keep tenants isolated by construction, so one run cannot reach or spend beyond its own quota.
- Own latency, throughput, and cost per run as volume grows, along with the production debugging that comes with them.
- Set the direction for the parts of the platform you own, not just the implementation.
- Partner closely with Applied AI engineers on the hardest problems coming out of deployments. They own the customer relationship, you own the platform.
WHAT WE'RE LOOKING FOR
- 5+ years of experience building high scale, complex software systems
- You have built and operated a platform other engineers depended on, and owned the architectural calls on it rather than only the implementation.
- Hands-on with several of these primitives: authn and authz, secrets, isolation, orchestration, egress, and durable state, in more than one cloud.
- A drive to keep making systems faster and cheaper after they already work.
- Demonstrated ability to work independently on ambiguous, loosely specified problems.
- Bonus: experience with LLM applications, agent frameworks or harnesses, evals, or deployed software.
WHY MERCOR
- Impact: Every agent Mercor runs for an enterprise customer runs on the platform you build.
- Learning: Depth in agent infrastructure, and the isolation problems that come with running other people's code.
- Growth: Deep ownership of platform surface area, with fast paths to owning more of it.
BENEFITS
- Up to $15k relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Generous equity grant vested over 4 years
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
Creative Director (IC)
Mercor · San Francisco, California, United States
Pay
$200k–350k
Setting
On-site
Mercor is hiring a Creative Director to lead our brand, marketing, and web design onsite in SF brand designer to help us build an entirely new category of work where human expertise trains frontier AI
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
Member of Technical Staff, Enterprise Evals Platform
Mercor · San Francisco, California, United States
Pay
$220k–425k
Setting
On-site
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
Enterprise agents are complex systems, and they only pay off when their work is reliable and economically viable. Evaluation is how you get both: checking correctness is the obvious case, and routing is the subtler one, since choosing a model against cost, latency, and quality requires quality to be measurable at all. Knowing where the bar sits is the hard part. You decompose real work, take the standard from the practitioners who hold it, and encode it so an agent cannot shortcut it.
You will apply what Mercor has learned building benchmarks with domain experts, and devise new methods, so that evals and rubrics keep improving and so do the agents measured against them.
That work only scales with a platform behind it. This is a platform engineering role with good depth of understanding in evals. You will build the verifiers, the environments agents are measured in, and the grading infrastructure that runs at scale, abstracted across customers, domains, and tasks so that every run becomes evidence the next agent inherits instead of starting over.
Read more about how we think about this: Agent Eval Systems https://www.mercor.com/blog/agent-eval-systems/
RESPONSIBILITIES
- Define golden sets: decompose real tasks and encode the expert quality bar.
- Build verifiers over agent trajectories and outputs, calibrated and hard to game.
- Build the eval platform that runs offline environments, task suites, and grading at scale.
- Run loss analysis over production trajectories and turn failure modes into regression tests.
- Run the optimization loop across models, prompts, skills, and harnesses.
- Own the rollout gates that decide whether an agent change ships.
- Partner with the Enterprise Platform team and the Applied AI engineers embedded with customers.
WHAT WE'RE LOOKING FOR
- Professional, academic, or research experience in agent engineering and evaluation, including how agent runtimes and harnesses produce a trajectory and where it fails.
- Experience building evaluation suites for LLM or agent systems, and familiarity with how benchmarks such as terminal-bench, tau-bench, and APEX are constructed and where they get gamed.
- Judgment about task and rubric design: turning a fuzzy notion of quality into something measurable, with agent or model improvements to show for it.
- Strong software engineering fundamentals, and the ability to work independently on ambiguous, loosely specified problems.
- Bonus: experience with Harbor environments and RL environments.
WHY MERCOR
- Impact: No agent reaches an enterprise customer without clearing the bar you set.
- Learning: Eval work spanning frontier model measurement and live enterprise deployments, on production trajectories few teams get to see.
- Growth: Research and systems in one role, with fast paths to owning the eval system end to end.
BENEFITS
- Up to $15k relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Generous equity grant vested over 4 years
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
Software Engineer, Search Systems - Code Data
Mercor · San Francisco, California, United States
Pay
$250k–500k
Setting
On-site
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
Some of the most valuable work on Mercor's platform is code—the tasks, problems, and solutions that train and evaluate the world's frontier coding models. As a Software Engineer for Code Search & Retrieval, you'll own the architecture and algorithms behind how we search across code tasks: finding similar tasks, routing them to the right models, and turning natural-language questions into precise retrieval.
Searching over code is a genuinely hard problem. Identifying similar code tasks—not just similar text—requires retrieval that understands structure, semantics, intent, and difficulty, far beyond what generic embeddings capture. You'll own that end to end: the vision is to search across code tasks at scale, identify and select the correct code-specific models for a given task, and translate NLP questions into search queries that return the right code and tasks.
This is a hands-on technical leadership role, not a management role. You'll design and build the retrieval systems that combine dense (code) embeddings and lexical (BM25) signals, and make the tradeoffs that let search stay fast and affordable at scale. Because Mercor operates at the frontier of data and models, you'll also own the hardest part of the problem: continuously evolving embeddings, models, and search quality as newer, state-of-the-art code models arrive—without regressing what already works.
As an engineer, your impact extends well beyond your own commits. You'll set the technical direction the rest of the org builds on, mentor and grow the engineers around you, and raise the bar for how we build.
WHAT YOU'LL DO
- Own the architecture of Mercor's code search and retrieval systems end to end—hybrid retrieval combining dense code embeddings and BM25, candidate generation, ranking, and re-ranking over code tasks.
- Solve the hard problem of identifying similar code tasks—retrieval that captures code structure, semantics, intent, and difficulty rather than surface text.
- Build the system that identifies and selects the correct code-specific models for a given task, and routes tasks to the right model.
- Design natural-language-to-query translation that turns NLP questions into precise search over code and tasks.
- Design and operate the indexing pipeline so the task index stays fresh and consistent as new tasks, solutions, and results arrive continuously—balancing incremental updates, full rebuilds, and real-time ingestion.
- Make the cost-and-speed tradeoffs that keep search fast and economical at scale: embedding dimensionality and quantization, ANN index choice and parameters, caching, sharding, and serving infrastructure.
- Build the systems and evaluation harnesses that let us continuously evolve embeddings, models, and search quality—safely swapping in new code models, re-embedding corpora, and A/B testing relevance as SOTA advances.
- Define and drive the long-term technical strategy for code retrieval across the organization, and lead the highest-stakes design reviews.
- Establish evaluation metrics, offline/online testing, and quality guardrails so search improvements are measurable and regressions are caught before they ship.
- Stay deeply hands-on: prototype critical systems, ship production code, and unblock teams on their hardest retrieval and infrastructure problems.
- Mentor and grow engineers—junior and senior—through design reviews, pairing, and clear technical writing, raising the technical bar across the org.
- Partner with product, researchers, and engineering leadership on build-vs-buy decisions, platform investments, and technical hiring.
WHAT WE'RE LOOKING FOR
- 8+ years of professional software engineering experience, including 3+ years operating at a Senior level or above, with a Staff-level track record of org-wide technical impact.
- Deep, hands-on expertise building search and retrieval systems: dense-embedding retrieval, lexical scoring (BM25/TF-IDF), hybrid ranking, and re-ranking.
- Good to have but not required: Experience with code search or code understanding—retrieval over code, code embeddings, or working with code-specific models—and an appreciation for why matching similar code tasks is harder than matching text.
- Strong understanding of the search algorithms and index internals—vector/ANN indices (e.g. HNSW, IVF, product quantization), inverted indices, and engines such as Elasticsearch/OpenSearch, Lucene, FAISS, or vector databases.
- A track record of making the right cost-vs-speed tradeoffs: latency budgets, throughput, memory footprint, and infrastructure spend on high-QPS systems.
- Familiarity translating natural-language questions into structured search queries (query understanding, semantic parsing, or LLM-assisted query generation).
- Excellent systems fundamentals: distributed systems, data modeling, and API design at scale.
- Demonstrated technical leadership and mentorship—you've helped junior and senior engineers grow and level up an engineering team.
- Genuine excitement for agentic development and new technology, fluency with modern AI dev tools (e.g. Claude Code, Cursor, Copilot), and a deep passion for writing great code.
- Excellent communication—able to make complex tradeoffs legible to both engineers and leadership. Strong opinions, loosely held. High ownership, pragmatism, and a bias toward shipping.
NICE TO HAVE
- Experience training or fine-tuning code embedding models or code-specific LLMs.
- Experience with learning-to-rank, semantic search, or recommendation systems in production.
- Familiarity with LLM-based retrieval, RAG patterns, and model routing/selection.
- Background operating latency-critical services on modern cloud and orchestration infrastructure.
WHY MERCOR
- Impact: Own the code search systems that decide how well Mercor finds, routes, and evaluates the code tasks training the world's frontier models, at a company scaling faster than almost any in its category.
- Ownership: Org-wide technical scope with a direct line to engineering leadership and real authority over technical direction.
- Learning: Work alongside world-class engineers, product leaders, and AI researchers building at the frontier of AI.
- Growth: Shape the engineering organization itself—its standards, its architecture, and its next generation of technical leaders.
BENEFITS
- Generous equity grant vested over 4 years
- Up to $15K relocation bonus (if moving to the Bay Area)
- A $10K housing bonus (if you live within 0.5 miles of our office)
- A $1.5K monthly stipend for meals
- Free Equinox membership
- Health insurance
Mercor is an equal opportunity employer. We work in-person five days a week in our San Francisco office.
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
Fullstack Software Engineer, Agent Platform
Mercor · San Francisco, California, United States
Pay
$130k–500k
Setting
On-site
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
Our agent platform is the core system Mercor uses to build, run, and showcase AI agents — the same platform our teams rely on internally every day and the one we demo live on customer calls. It is simultaneously our internal workbench and our external storefront.
As a Full Stack Software Engineer on the Agent Platform team, you'll own these journeys end-to-end: the React frontend people interact with and the backend services that orchestrate agents, data, and integrations. You'll be directly responsible for the enablement of hundreds of internal users who depend on the platform daily, and dozens of enterprise clients who run on it in production. Because what you build is used in-house and demoed to customers, it has to be both genuinely powerful and demo-ready polished.
This is a role for someone who cares equally about engineering craft and product impact: shipping scalable, reliable systems and intuitive interfaces that make everyone who touches the platform faster and more effective.
YOU WILL
- Own the agent platform across the full stack — from the internal- and client-facing React interfaces to the backend APIs and services orchestrating agents, workflows, and integrations.
- Enable hundreds of internal users and dozens of enterprise clients — ship the features, reliability, and polish that make the platform their daily driver and a confident live demo.
- Build the foundational layer other teams depend on to stand up new agent use cases, task formats, and client configurations quickly and without rework.
- Ship high-leverage product features that raise both internal productivity and the customer-facing quality of the platform.
- Translate ambiguous requirements into well-scoped technical solutions through close collaboration with Applied AI researchers, product, design, and operations.
WHAT WE'RE LOOKING FOR
- 2+ years of fullstack engineering experience building and shipping production software.
- Deep proficiency in JavaScript/TypeScript (React + Next.js) and a strong grasp of frontend architecture, state management, and design patterns.
- Solid backend experience in Python and/or Node.js — designing and building relational databases, REST APIs, and async task infrastructure.
- Strong design sense and empathy for end-users; you hold a high bar for usability.
- Experience with complex, high-throughput systems — pipelines, large data volumes, or multi-tenant architectures.
- High ownership mindset; able to navigate ambiguity and drive projects from design through delivery.
- Strong communication skills and ability to articulate technical and product tradeoffs clearly.
NICE-TO-HAVES
- Experience building agent frameworks, LLM-powered products, or human-in-the-loop AI workflows.
- Background in design systems, developer-facing APIs, or internal platform engineering.
- Exposure to AI tools, real-time data, or data visualization.
- Experience at top-tier tech companies or fast-scaling startups.
WHY THIS ROLE MATTERS
- The platform you build is Mercor's core agent product — run internally and shown to every enterprise client.
- The systems you ship will be used daily by hundreds of internal users and dozens of enterprise clients.
- You'll help define how new agent use cases are built, delivered, and demonstrated at Mercor.
- Your work directly shapes both how Mercor works and how customers experience us.
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
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
Member of Technical Staff, Deeptune Environments
Mercor · New York, New York, United States
Pay
$220k–600k
Setting
On-site
Deeptune, an RL environments lab within Mercor, is expanding their team with Members of Technical Staff
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
Talent Intelligence & Analytics Manager
Mercor · San Francisco, California, United States
Pay
$140k–180k
Setting
On-site
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 Talent Intelligence & Analytics Manager at Mercor, you'll be the person who knows the AI talent market better than anyone else on the team: where competitors are finding talent, how compensation is trending, and what it actually takes to win a candidate in this market. You'll build the data and research layer underneath all of Mercor's recruiting - GTM, Applied AI, Operations, and beyond - turning market signal and funnel data into decisions our recruiters and leadership can act on.
WHAT YOU'LL DO
- Track the competitive AI talent landscape: where frontier labs, Mag 7 companies, and direct competitors are sourcing talent, how their teams are structured, and how they're positioning offers
- Analyze Mercor's own hiring funnel: pass-through rates, time-in-stage, source yield, and quality of hire, and turn that into recommendations recruiters and leadership can act on
- Build dashboards and reporting that give recruiting leadership a real-time read on pipeline health and hiring capacity
- Act as the analytics expert for Talent Acquisition, informing strategic decision making across the recruiting funnel
- Partner with business leadership as well as recruiters across GTM, Applied AI, and Operations to answer their specific market and pipeline questions
- Run research projects on talent-market trends: where the best AI talent is coming from, how compensation structures are evolving, and what's changing in how competitors hire
- Build and maintain compensation benchmarking across roles and markets, keeping Mercor's offers competitive as the AI talent market shifts
- Present findings directly to recruiting and company leadership, translating data into a clear point of view
WHAT WE'RE LOOKING FOR
- 5+ years of experience in people analytics, talent intelligence, or recruiting analytics, ideally at a high-growth tech or AI company
- Strong SQL and data modeling skills; comfort building dashboards in tools like Hex, Looker, or Tableau
- A genuine interest in the AI talent market: who's hiring, where they're finding people, how comp is trending, and what that means for Mercor's competitiveness
- Ability to turn messy data into a clear narrative and a clear recommendation, not just a report
- Strong communication skills; able to present data-backed points of view to recruiters and leadership with confidence
- High motor, outcome-oriented approach; Mercor is in hypergrowth, and this role's insights directly shape hiring decisions across the company
- Familiarity with Ashby or ability to quickly adopt new tools and systems
NICE TO HAVES
- Experience in a strategy, market research, or competitive intelligence role prior to moving into talent/people analytics
- Interest in the human data / AGI space
- Experience building compensation benchmarking models or market-pay studies
- Comfort supporting multiple recruiting functions (GTM, Applied AI, Operations) at once
IDEAL QUALITIES
- Agility / Adaptability - ability to move fast, pivot with business shifts, and maintain best-in-class outcomes
- Operational Rigor - ability to bring order to an unstructured environment
- Growth Mindset - You don't need to be an expert on AI, but you do need a strong desire to learn in a rapidly evolving, frontier industry
- Commitment to the Outcome - Ownership mentality; will hold yourself accountable to an extremely high standard of work
- Love for the Craft - genuine enthusiasm for building a best-in-class talent function
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
Software Engineer, Robotics Data
Mercor · San Francisco, California, United States
Pay
$130k–500k
Setting
On-site
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
Frontier AI is going physical, and the labs building it are bottlenecked on one thing: high-quality data from the real world. Mercor pairs its operational scale with the specialized engineering that physical-world data demands.
You'll build the data backbone of physical AI: the pipelines that take raw multi-sensor capture from the field (video, depth, inertial, audio, and more) and turn it into validated, privacy-safe, delivery-ready datasets for frontier labs. Ingest, segmentation, pre-labeling, automated QC, and packaging, at petabyte scale across thousands of concurrent collectors.
WHAT YOU'LL DO
- Build the end-to-end sensor data pipeline: ingest from capture devices in the field, through segmentation, pre-labeling, QC, and packaged delivery to customers
- Design automated QC that validates recordings at scale: timing and sync integrity, calibration health, sensor continuity, coverage against requirements
- Establish dataset schemas, versioning, provenance, and versioning, so every delivery has a clear system traceability
- Build shared processing components such as privacy redaction, transcription, encoding, format packaging across all offerings
- Integrate VLM-assisted pre-labeling and quality scoring into production workflows without sacrificing debuggability or human oversight
WHAT MAKES THIS ROLE DIFFERENT
- High ownership, early. This is a young, strategically central product area; the product you build will shape Mercor’s physical-world data collection standards
- The data is the deliverable. The end product at Mercor is the data; what your pipeline produces is what shapes the models that large frontier lab trains on
- Real physical-world scale. Your inputs come from devices operated by humans in global real world settings, for thousands of hours. Building systems that scale is precedent.
WHAT WE'RE LOOKING FOR
- Strong production backend/data engineering experience — you've built and owned high-volume data pipelines
- Experience processing video or sensor data at scale: large binary formats, streaming ingestion, distributed batch processing, object storage economics
- Fluency in Python and comfortable with AWS
- Genuine data taste: you can look at a sensor trace or a timing histogram and tell when something is off
- Comfort in ambiguous, fast-moving problem spaces where requirements evolve with the customer
NICE TO HAVE
- Experience with robotics data formats and tooling (MCAP, ROS bags, protobuf, Foxglove), camera geometry, or multi-sensor calibration and synchronization
- Computer vision or multimodal ML experience (detection, tracking, VLM-based labeling or QC)
- Prior work on data engines for AV, robotics, or egocentric video
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
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
Member of Technical Staff, Backend
Mercor · San Francisco, California, United States
Pay
$250k–500k
Setting
On-site
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 Member of Technical Staff of talent experience, you'll own the shared backend architecture that underpins every user journey for talent network at Mercor.
Mercor's products—talent matching, assessment, expert workflows—are growing faster than any single team can architect for. You'll define the technical direction of the systems they all depend on: core services, data models, APIs, and infrastructure patterns that must scale with a network of tens of thousands of experts and the demands of the world's leading AI labs. You'll set the standards that dozens of engineers build on, pay down the architectural decisions that no longer fit, and make the ones that will still be right three years from now.
This is a hands-on technical leadership role, not a management role. You'll write code, review the designs that matter most, and act as the connective tissue between product teams—partnering directly with engineering leadership to shape how the organization builds.
What You'll Do
- Own the architecture of Mercor's shared backend systems—core services, data models, APIs, and cross-product infrastructure.
- Define and drive the long-term technical strategy for backend architecture across the organization.
- Design systems for scale, reliability, and evolvability, and lead the highest-stakes technical decisions and design reviews.
- Identify and pay down architectural debt that slows product teams, and lead complex cross-team migrations.
- Establish backend engineering standards, patterns, and best practices adopted across all product teams.
- Stay hands-on: prototype critical systems, ship production code, and unblock teams on their hardest technical problems.
- Mentor senior engineers and raise the technical bar across the engineering organization.
- Partner with engineering and product leadership on build-vs-buy decisions, platform investments, and technical hiring.
What We're Looking For
- 8+ years of professional backend engineering experience, including 3+ years operating at a Senior level or above.
- Deep expertise in distributed systems, service architecture, data modeling, and API design at scale.
- A track record of owning architecture across multiple teams or an entire organization—and of decisions that aged well.
- Experience leading large, complex technical migrations in production without stopping the business.
- Strong opinions, loosely held: you drive alignment through technical judgment and clear writing, not authority.
- Fluent in using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, or similar) to improve engineering productivity.
- Experience mentoring senior engineers and raising the technical bar across an organization.
- Excellent communication skills—able to make complex tradeoffs legible to both engineers and leadership.
- High ownership, pragmatism, and a bias toward shipping.
Why Mercor
- Impact: Own the architecture that every Mercor product is built on, at a company scaling faster than almost any in its category.
- Ownership: Organization-wide technical scope with a direct line to engineering leadership and real authority over technical direction.
- Learning: Work alongside world-class engineers, product leaders, and AI researchers building products at the frontier of AI.
- Growth: Shape the engineering organization itself—its standards, its architecture, and its next generation of technical leaders.
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 $1.5K monthly stipend for meals
- Free Equinox membership
- Health insurance
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
Member of Technical Staff, iOS
Mercor · San Francisco, California, United States
Pay
$130k–400k
Setting
On-site
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 Member of Technical Staff, iOS, you'll help build the next generation of Mercor's mobile experience for tens of thousands of AI experts around the world.
Our mobile platform is becoming a core part of the expert experience—from discovering projects and completing onboarding to collaborating with AI-powered workflows. You'll work closely with Product, Design, AI, and Backend Engineering to build intuitive, reliable, and high-performance native iOS experiences that directly improve expert engagement, retention, and satisfaction.
You'll join a small, fast-moving engineering team with significant ownership. From your first week, you'll ship production code, contribute to technical decisions, and work directly with product leaders to shape the roadmap. This is an opportunity to help establish Mercor's US mobile engineering capability while building products used every day by thousands of AI experts.
What You'll Do
- Design, build, and ship high-quality native iOS applications using Swift and SwiftUI.
- Own features end-to-end—from product discussions and technical design to implementation, testing, and release.
- Collaborate closely with Product, Design, AI, and Backend Engineering to deliver customer-facing experiences.
- Build reusable SwiftUI components and create polished, intuitive user experiences.
- Optimize application performance, reliability, testing, and release quality.
- Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar.
- Contribute to the long-term architecture and engineering standards of Mercor's mobile platform.
- Solve real customer problems and continuously improve expert engagement and experience.
What We’re Looking For
- 2–5+ years of professional software engineering experience building production iOS applications.
- Strong proficiency in Swift and SwiftUI.
- Experience shipping production applications through the App Store.
- Strong understanding of modern mobile architecture and engineering best practices.
- Comfortable building products using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, Codex, or similar) to accelerate software development.
- Strong software engineering fundamentals, including testing, debugging, and performance optimization.
- Excellent product intuition—you enjoy building products that people actually use.
- Comfortable working in fast-moving environments with evolving priorities.
- High ownership, curiosity, and a bias toward shipping.
Why Mercor
- Impact: Build products used every day by tens of thousands of AI experts and directly shape the future of the AI workforce.
- Ownership: Join a small, high-velocity engineering team where you'll own features end-to-end and influence product direction from day one.
- Learning: Work alongside world-class engineers, product leaders, and AI researchers building products at the frontier of AI.
- Growth: Rapid career progression with opportunities to expand ownership as the mobile platform and engineering organization scale.
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
Listed by Mercor for a position based in the United States. Employers on this board attest they are hiring domestically.
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