AI Infrastructure Engineer, Model Serving Platform

Full Timemid

San Francisco, CA; New York, NYPosted 14 days ago

Role Overview

Scale AI is hiring a mid-level AI Infrastructure Engineer, Model Serving Platform. This is a full-time role in San Francisco, CA; New York. Part of Scale AI's Backend hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Mid-level Backend roles is $138k-$174k (based on 62 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonGoRustAWSGCPDockerKubernetesTerraform

Job description

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments.

The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.

You will:

Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale.
Build an internal platform to empower LLM capability discovery.
Collaborate with researchers and engineers to integrate and optimize models for production and research use cases.
Conduct architecture and design reviews to uphold best practices in system design and scalability.
Develop monitoring and observability solutions to ensure system health and performance.
Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment.

Ideally you'd have:

4+ years of experience building large-scale, high-performance backend systems.
Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).
Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.)
Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc.
Experience with containers and orchestration tools (e.g., Docker, Kubernetes).
Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to haves:

Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$180,000—$225,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Scale AI

Scale AI

scaleai.org

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Frequently Asked Questions

How do I apply for the AI Infrastructure Engineer, Model Serving Platform position at Scale AI?

Use the Apply button above to submit your application directly to Scale AI. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the AI Infrastructure Engineer, Model Serving Platform position at Scale AI located?

This position is based in San Francisco, CA; New York. Scale AI has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a AI Infrastructure Engineer, Model Serving Platform at Scale AI earn?

Scale AI has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the AI Infrastructure Engineer, Model Serving Platform role at Scale AI posted?

This role was posted on July 9, 2026 (14 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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