- Drive the architecture, design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
- Directly manage or mentor small teams of software engineers ranging from new grads to experienced engineers.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
- Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
- 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 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 modern web frameworks like NodeJS, NextJS, etc.
- Experience with cloud networking with Kubernetes and service mesh (istio).
- Experience with orchestration platforms, such as Temporal and AWS Step Functions.
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).
- 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.
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Staff Software Engineer, Platform - New York - Scale
Description
Overview
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 help support the design and development of core platforms and software systems, while supporting identity, access management, authorization, and authentication. 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.
Responsibilities
Qualifications
Nice to Haves
Compensation and Benefits
The base salary range for this full-time position in the location of San Francisco is $188,000 - $235,000 USD. Compensation packages include base salary, equity, and benefits such as comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend.
Equal Employment Opportunity
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.
About Scale
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.
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Platform Engineer
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Full time Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Full time Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York
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Platform Engineer
Only for registered members New York, NY
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Platform Engineer
Full time Only for registered members New York