AI Infrastructure Engineer, Model Serving Platform

Segment (Twilio); San Francisco (CA); On-site; USD 175,000 - 220,000; Full time

Benefits offered by this job

Comprehensive health coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Dormont Manufacturing Co is seeking a Software Engineer for its ML Infrastructure team in San Francisco. You will develop platforms for orchestrating post-training and model evaluation jobs, ensuring performance and correctness while managing ML workflows.

Ideal candidates have 4+ years in ML platform development, experience in benchmarking LLMs, and skills in Python, Docker, and Kubernetes. The compensation includes a base salary ranging from $175,000 to $220,000, along with benefits such as health coverage and PTO.

Qualifications

• 4+ years of experience developing ML platforms.
• Experience training and/or benchmarking LLMs.
• Experience working with cloud technology stack (e.g., AWS or GCP).

Responsibilities

• Develop re-usable platforms for running in-house and open-source LLM-benchmarks.
• Ensure correctness and performance of post-training and eval jobs on the platform.
• Improve APIs for managing ML workflows.
• Contribute to foundational infrastructure for model inference and training.
• Participate in on-call process to ensure availability of services.
• Own projects end-to-end in a collaborative environment.

Skills

Machine learning fundamentals

Backend system design

ML Infrastructure experience

Python

Docker

Kubernetes

Infrastructure as code (Terraform)

Job description

As a software engineer on the ML Infrastructure team, you will work on developing the platform for orchestrating post‑training and model evaluation jobs. At Scale, we are constantly developing new data sources and running experiments to understand their impact on ML models. To support this effort, we are looking for engineers who are comfortable navigating cloud infrastructure challenges as well as research challenges in benchmarking and tuning LLMs.

The ideal candidate is someone who has strong fundamentals in machine learning, backend system design, and has prior ML Infrastructure experience. They should also be comfortable with infrastructure and large scale system design, as well as diagnosing both model performance and system failures.

You will:

• Develop re‑usable platforms for running in‑house and open‑source LLM‑benchmarks.
• Ensure correctness and performance of post‑training and eval jobs on the platform.
• Improve APIs for managing ML workflows.
• Contribute to foundational infrastructure at the company for model inference and training.
• Participate in our team’s on‑call process to ensure the availability of our services.
• Own projects end‑to‑end, from requirements, scoping, design, to implementation, in a highly collaborative and cross‑functional environment.

Ideally you’d have:

• 4+ years of experience developing ML platforms.
• Passion for working closely with researchers to drive business impact.
• Experience training and/or benchmarking LLMs.
• Experience with Python, Docker, Kubernetes, and Infrastructure as code (e.g., terraform).

Nice to haves:

• Experience building, deploying, and monitoring complex microservice architectures.
• Experience working with a cloud technology stack (e.g., AWS or GCP).

Compensation packages 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, determined by work location and additional factors, including job‑related skills, experience, 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.

Base salary range for this full‑time position in the locations of San Francisco, New York, and Seattle is: $175,000 - $220,000 USD.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and 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 [e-mail]. 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.