logo inner

Applied AI Software Engineer, International Public Sector

Scale AIUnited KingdomOnsite

Scale is growing rapidly, and joining the Global International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved:
  • Building custom LLMs
  • Providing high-quality training data for research institutions building LLMs from scratch
  • Partnerships, upskilling, and advisory

Scale is looking for an Applied AI Software Engineer to lead the integration of Generative AI into customer services. You will engage with customers to understand their AI needs, design and execute modeling experiments using LLMs and RAG, and develop robust, production-grade services. Key responsibilities include building end-to-end AI systems, optimizing performance through data-driven experiments, and designing evaluation strategies. Ideal candidates will have experience as Forward Deployed Engineers, CTOs, or Founding Engineers at startups, and a passion for shaping the future of data-centric AI.

If this describes you, we encourage you to apply!

You will:


  • Scope and implement AI-driven solutions to ambiguous customer problems
  • Build end-to-end AI systems using Scale’s Generative AI Platform
  • Build automated frameworks to ingest and query large amounts of unstructured data
  • Work cross functionally with our data annotation teams, and fine tune LLMs using this data
  • Build evaluation systems that leverage human experts and automated approaches
  • Travel up to 2 weeks per month to meet with the customer

Minimum Qualifications:


  • Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
  • 2+ years of engineering experience, post-graduation 
  • Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
  • Ability and interest in traveling to the client site in the Middle East region at least one week each month

Ideal Qualifications:


  • Proficient in reading and writing in Arabic 
  • Past experience working at a startup or in a forward-deployed role
  • Has experience working cross functionally with operations
  • Have experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

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 affirmative action employer and 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 accommodations@scale.com. 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.

Life at Scale AI

Scale accelerates the development of AI applications by helping computer vision teams generate high-quality ground truth data. Our advanced LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Waymo, OpenAI, Lyft, Zoox, Pinterest, and Airbnb focus on building differentiated models vs. labeling data. Our APIs include: ? Sensor Fusion - the first solution in the market to provide annotation for LiDAR/RADAR/Camera data ? Semantic Segmentation ? 2D Boxes/Polygons ? Video ? 3D Cuboids ? Lines & Splines ? Keypoints ? Data categorization
Thrive Here & What We Value1. Dynamic, fast-growing company in cutting-edge technology projects (AI, machine learning, language model space)2. Affirmative Action Employer and Inclusive Equal Opportunity Workplace3. Celebrating diversity and creating an environment where everyone can bring their whole selves to work4. Providing reasonable accommodations for applicants with physical and mental disabilities, fair hiring process5. Compliance with laws regarding personal data collection and use6. Comprerancial benefits package (health, dental, vision coverage, retirement benefits, learning stipend, PTO, commuter stipend)7. Trusted by industry-leading businesses (OpenAI, Lyft, Meta, GM, Samsung, Airbnb, Microsoft, NVIDIA)8. Commitment to making a difference in the world through AI innovation and continuous improvement9. Collaborative future powered by artificial intelligence
Your tracker settings

We use cookies and similar methods to recognize visitors and remember their preferences. We also use them to measure ad campaign effectiveness, target ads and analyze site traffic. To learn more about these methods, including how to disable them, view our Cookie Policy or Privacy Policy.

By tapping `Accept`, you consent to the use of these methods by us and third parties. You can always change your tracker preferences by visiting our Cookie Policy.

logo innerThatStartupJob
Discover the best startup and their job positions, all in one place.
Copyright © 2024