Software Engineer, Platform

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 thats 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 this role you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle architecting Scales core cloud infrastructure and orchestration stack and redefining how engineers develop build test and deploy software at Scale. Youll 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 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 youd have:

• 3 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 and public cloud platforms (AWS preferred).
• Show a track record of independent ownership of successful engineering 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.
• Experience with orchestration platforms such as Temporal and AWS Step Functions.
• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).

Nice to haves:

• 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 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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