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Mercor
Mercor

Infrastructure Engineer

职能基础设施
级别中级
地点San Francisco, Canada, United States
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Python

AWS

Docker

Go

Terraform

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 $2 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 an Infrastructure Engineer at Mercor, you’ll build and scale the systems that power our rapid growth. You’ll ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands. You’ll work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.

We’re hiring broadly across Infrastructure: Developer Productivity Engineer and Database Engineer and Platform Engineer. Candidates will be team-matched after the first screen, so we encourage you to apply even if your experience is stronger in one area than another.

What You’ll Work On:

  • Designing and maintaining core infrastructure across cloud environments.

  • Building Infrastructure-as-Code workflows to automate deployments and scaling.

  • Improving monitoring, logging, and alerting systems to maintain reliability.

  • Managing CI/CD pipelines (Github, Spacelift) to ensure seamless deployments.

  • Supporting disaster recovery planning and ensuring high availability of systems.

  • Partnering with product and research teams to design architectures that scale with workload demands.

  • Identifying and fixing performance bottlenecks in compute, storage, and networking.

What We’re Looking For:

  • Strong experience with cloud platforms (AWS).

  • Proficiency with Infrastructure-as-Code tools (Terraform).

  • Deep experience with containers and orchestration (Docker).

  • Solid understanding of distributed architectures.

  • Programming languages (Python, Go).

  • Proven ability to ship reliable infrastructure in production environments.

  • Growth mindset and eagerness to thrive in a hyper-growth, high-ownership environment.

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

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关于Mercor

Mercor

Mercor

Seed

Mercor is an AI-powered platform that connects companies with vetted software engineers and technical talent through automated screening and matching processes.

1-50

员工数

San Francisco

总部位置

评价

10条评价

4.0

10条评价

工作生活平衡

3.2

薪酬

3.8

企业文化

4.3

职业发展

3.5

管理层

4.2

72%

推荐率

优点

Supportive and approachable management

Great team culture and collaborative environment

Good benefits and flexible work options

缺点

Heavy workload and frequent overtime

Communication issues and miscommunication

Non-competitive pay and limited career progression

薪资范围

6个数据点

Mid/L4

Mid/L4 · Machine Learning Engineer

1份报告

$210,126

年薪总额

基本工资

$161,637

股票

-

奖金

-

$210,126

$210,126

面试评价

3条评价

难度

3.0

/ 5

录用率

67%

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

AI Interview Screen

3

Technical Assessment

4

Final Review

5

Offer

常见问题

Domain Expertise

Behavioral/STAR

Industry Knowledge

Leadership Experience

Problem Solving