Staff Software Engineer, Enterprise GenAI

Scale AI; New York, San Francisco (NY, CA); On-site; USD 248,400 - 310,500; Full time

Benefits offered by this job

Comprehensive health coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

A leading AI technology firm is seeking a Staff Software Engineer for their Enterprise GenAI platform. The ideal candidate will have over 7 years of experience and be well-versed in software engineering and large-scale systems. Responsibilities include owning new product areas and delivering high-velocity experiments. Compensation includes a salary range between $248,400 and $310,500, along with benefits like health insurance and retirement plans.

Qualifications

• 7+ years of full-time engineering experience since graduation.
• Experience scaling products at hyper growth startups.
• Experience with major cloud providers.

Responsibilities

• Own large new areas within our product.
• Work across backend, frontend interacting with LLMs.
• Deliver experiments at a high velocity.

Skills

Software engineering principles

Large-scale distributed systems

Experience with Kubernetes

Experience with cloud providers (AWS, Azure, GCP)

Experience productizing LLMs

Job description

Staff Software Engineer, Enterprise GenAI

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.

Responsibilities

• 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

Qualifications

• 7+ 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
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

Compensation and Benefits

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:

$248,400 - $310,500 USD

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, Cisco, DLA Piper, 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.

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EEO and Non-Discrimination

We believe in equal employment opportunities and do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.