Staff Applied AI Engineer, Enterprise GenAI

AI is becoming vitally important in every function of our society. At Scale our mission is to accelerate the development of AI applications. For 8 years Scale has been the leading AI data foundry helping fuel the most exciting advancements in AI including: generative AI defense applications and autonomous vehicles. With our recent Series F round were accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer youll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which youll use to improve your products performance. If you are excited about shaping the future of the modern AI movement we would love to hear from you!

You will:

• Own plan and optimize the AI behind our Enterprise customers deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality tool-calling and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments writing and debugging code directly in both our customers and Scales codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally youd have:

• 7 years of full-time engineering experience post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your clients business goals
• Strong engineering background: a Bachelors degree in Computer Science Mathematics or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write test and debug code using common libraries (ie numpy pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

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 worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

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