Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large head start among competition.
At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Forward Deployed Engineers (FDEs) work directly with industry leading Generative AI companies, build and own robust, production-grade data integrations used to power advanced foundational models. Your expertise in our products, codebase, and general technical knowledge in web development and APIs will allow you to create the necessary tools and documentation for scalable growth.This exciting role lies at the intersection of customer delivery and engineering, providing you with a wealth of experience and stimulating both sides of your brain.
In this role, your daily tasks may include engaging in discussions about integration and API architectures with your fellow engineers, working with large datasets, coding custom tools, and meeting with customer executives. If you're ready to embark on a thrilling journey where you can make a real difference in the world of AI-enabled technology, apply now and join the Scale family!
You will:
- Engineer robust, scaleable end-to-end data integrations that seamlessly synchronize customer data with Scale's Data Engine platform, and vice versa
- Meet regularly with customer teams onsite (strong preference) and virtually, collaborating cross-functionally with all teams responsible for their data pipeline
- Own, document, troubleshoot, and optimize the customer’s entire integrations, including complex data transformations and processing
- Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases
- Be the voice of the customer by capturing, documenting, and championing new customer requirements and feature requests with Scale’s Operations and Engineering teams. You will not stop until these requirements come to fruition and you’re not afraid to build the tools yourself when needed.
- Deeply understand the AI strategy, goals, and needs of the customers
- Build deep relationships with technical stakeholders at all levels and across all roles, both internally and externally
- Be able and willing to multi-task and learn new technologies quickly
Ideally you'd have:
- Strong engineering background a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background
- 3+ years of engineering experience, post-graduation, ideally in a client-facing setting
- Experience operating in a fast-paced environment with ambiguity
- Proficiency in one or more of Python, Typescript, Node, React, Next.js and MongoDB or similar technologies
- Experience scaling products at hyper growth startups
Nice to haves:
- Strong knowledge of software engineering best practices
- Have experience with AI platforms and technologies, including generative models and LLMs
The base salary range for this full-time position in our hub locations of San Francisco or New York is
$153,000 - $224,000.
Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval.
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.
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.
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