engineering
Posted 2 weeks agoFrontier Agents Engineer
at scaleai
London, United KingdomOn-site
Responsibilities
- Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
- Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases
Requirements
- 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.
- The SGP ML team works on the front lines of this AI revolution.
- As an Applied AI Engineer, you’ll 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.
- If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will:
- Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
- Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
- A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
- Strong engineering background: a Bachelor’s 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
- 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 are expanding our team to accelerate the development of AI applications.
Benefits
- We comply with the United States Department of Labor's Pay Transparency provision .
Contact
- If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
Additional details
- With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).
- We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale.
- Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance.
- requirements and translating them into technical solutions
- Be able and willing to multi-task and learn new technologies quickly Ideally you'd have:
- 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:
- 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 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.