Staff Software Engineer, Data Infrastructure EPD New York, NY

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 headstart among competition.At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power 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.At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core platforms and systems, while supporting orchestration, data abstraction, data pipelines, identity & access management, and underlying infrastructure. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.You will:Drive the architecture, design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.Collaborating with cross-functional teams to define, design, and deliver new features.Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.Ideally you’d have:8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.Extensive experience in software development and a deep understanding of Distributed Systems, Cloud Platforms, and Data Science.Show a track record of mentoring and leading teams in successful projects.Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. in multiple clouds.Strong experience with orchestration platforms, such as Temporal and AWS Step Functions.Experience with document (MongoDB), relational (Postgres), and highly distributed databases (TiDB, ScyllaDB).Nice to haves:Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).Experience with authentication/authorization systems (Zanzibar, Authz, etc.)Experience scaling products at hyper-growth startups.Excitement to work with AI technologies.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:$212,000

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$254,400 USDPLEASE 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, 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

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