Staff Software Engineer, Scale AI

• 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems
• Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.)
• 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 and various public cloud offerings
• Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems
• Experience driving cross functional collaboration and communication at an organizational or broader level

Desirable

• 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 evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations
• 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 data storage, streaming, caching, and indexing platforms and underlying systems
• 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'll drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements
• 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
• Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers