Software Engineer, Enterprise AI

Scale AI, Inc.; New York (NY); On-site; USD 160,000 - 255,000; Full time

Job summary

An innovative firm is seeking a talented engineer to join their dynamic team. This role involves owning significant areas of a cutting-edge Generative AI platform, working across various technologies, and solving complex engineering challenges. The ideal candidate will have extensive experience in software engineering, particularly in scaling products and working with large-scale distributed systems. Join a forward-thinking company that is transforming industries through AI and be part of a team dedicated to pushing the boundaries of technology. If you're passionate about AI and eager to make an impact, this opportunity is perfect for you.

Benefits

Comprehensive health coverage

Dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Qualifications

• 5+ years of full-time engineering experience, post-graduation.
• Experience scaling products at hyper growth startups.
• Experience with LLMs and vector databases.

Responsibilities

• Own large new areas within our product.
• Work across backend, frontend, and LLMs.
• Deliver high-quality experiments quickly.

Skills

Software Engineering

Distributed Systems

Python

JavaScript/TypeScript

SQL

Kubernetes

Cloud Providers (AWS, Azure, GCP)

Education

Bachelor's Degree in Computer Science or related field

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:

• 5+ 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, 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.

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:

$160,000—$254,400 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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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.

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.