Member of Technical Staff: Product

1 week ago

San Francisco, United States essential AI Full time
Job DescriptionJob Description

Essential AI’s mission is to deepen the partnership between humans and computers, unlocking collaborative capabilities that far exceed what could be achieved today. We believe that building delightful end-user experiences requires innovating across the stack - from the UX all the way down to models that achieve the best user value per FLOP.

We believe that a small, focused team of motivated individuals can create outsized breakthroughs. We are building a world-class multi-disciplinary team who are excited to solve hard real-world AI problems. We are well-capitalized and supported by March Capital and Thrive Capital, with participation from AMD, Franklin Venture Partners, Google, KB Investment, NVIDIA.

What you’ll be working on

  • Collaborate with researchers and engineers to design and implement core infrastructure and systems powered by foundation models for critical workflows in enterprises

  • Explore, iterate and build useful and elegant products that bring to life model capabilities through usable interfaces.

  • Be deeply engaged with our design partners to understand their requirements and iterate quickly to customize our product to their needs

  • Have a chance to guide and impact new kinds of software enabled by LLMs to improve workflows for both technical and business users.

  • Deploy and scale AI powered products from the ground up while defining standards and protocols around monitoring, evaluation, security considerations, etc.

What we are looking for

  • 8+ years of industry experience building distributed and scalable backend systems.

  • Have experience in leading and building products in the 0 to 1 stage

  • Experience with building high performant backend systems in Rust, Go or Python

  • Extensive knowledge of database technologies like MySQL, Postgres, Dynamodb or Redis, etc. and big data platforms like BigQuery, Redshift and Snowflake, etc.

  • Strong understanding of Restful and GraphQL concepts

  • Have built production grade services on cloud platforms like GCP, AWS with knowledge of Kubernetes, Terraform and other tools used in deployment pipelines, streaming services, security management, etc.

  • Demonstrate interest in building products with AI & ML models

  • (Bonus) Experience building backend for private cloud environment is a plus

  • (Bonus) Have a good understanding / interest in data engineering and transformation workflows

We encourage you to apply for this position even if you don’t check all of the above requirements but want to spend time pushing on these techniques.

We are based in-person in SF. We offer relocation assistance to new employees.

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