Software Engineer, Enterprise AI

Scale AI; New York (NY); On-site; USD 179,000 - 224,000; Full time

Benefits offered by this job

Health, dental & vision

Retirement benefits

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI is seeking a strong engineer to own large new areas of our platform, interfacing with backend, frontend, and LLM/ML models. You will drive scalable, reliable solutions and deliver experiments at high velocity to engage customers.

You should have 4+ years of full-time engineering experience, familiarity with hyper-growth scaling, and proficiency in Python or JavaScript/TypeScript with SQL. Kubernetes and major cloud provider experience are preferred.

Qualifications

• 4+ years of full-time software engineering experience.
• Experience scaling products at hyper growth startups.
• Experience with LLMs, vector databases, and AI technologies.
• Proficiency in Python or JavaScript/TypeScript and SQL.
• Kubernetes experience and major cloud providers (AWS/Azure/GCP).

Responsibilities

• Own large new areas within Scale's product.
• Work across backend, frontend, and LLM/ML model interactions.
• Deliver experiments with high velocity and quality to customers.
• Engage across the full product lifecycle from concept to production.
• Learn new technologies quickly and multi-task effectively.

Skills

Distributed systems

Top-tier software engineering

Multi-tasking

Learning new technologies

Tools

Python

JavaScript/TypeScript

SQL

Kubernetes

AWS

Azure

GCP

Job description

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

You will:

• Own large new areas within our product
• Work across backend, frontend, and interacting with LLMs and ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

Ideally you'd have:

• 4+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

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. 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.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$179,400 — $224,250 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 [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.

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.