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Full-Time

Member of Technical Staff: Backend Engineer

Confirmed live in the last 24 hours

essential AI

essential AI

11-50 employees

AI and machine learning model development

AI & Machine Learning

Compensation Overview

$0 - $225kAnnually

+ Equity + 401(k) + Health Benefits + Onsite Lunches + Snacks

Mid, Senior

San Francisco, CA, USA

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Rust
Redshift
Python
MySQL
BigQuery
Postgres
TypeScript
AWS
Terraform
Redis
REST APIs
Snowflake
Google Cloud Platform
Requirements
  • 4+ years of experience in building distributed and scalable backend systems, with a focus on building and deploying software in other enterprises.
  • Technical leader with previous experience in building products in the 0 to 1 stage.
  • Experience with building high-performant backend systems in frameworks like Rust / Go / Typescript / Python.
  • Experience with database technologies like MySQL / Postgres, Dynamodb, Redis, etc. and big data platforms like BigQuery, Redshift, Snowflake, etc.
  • Experience with Restful and Graphql concepts.
  • Have built production grade systems using GCP, AWS, Terraform or Kubernetes including deployment pipelines, streaming services, security management, etc.
  • Have a desire to work directly with technical and non-technical stakeholders and excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
  • The ability to navigate and execute amidst ambiguity to help your team, the customer and the end-user succeed.
Responsibilities
  • Collaborate with researchers and engineers to design and implement core infrastructure and systems powered by foundation models for 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 customers to understand their requirements and iterate quickly with them to customize our product to their needs.
  • Have a chance to guide and impact new kinds of software enabled by LLMs to improve valuable enterprise workflows.
  • Deploy and scale AI-powered products from the ground up while defining standards and protocols for monitoring, evaluation, security considerations, etc.

This company excels in developing machine learning and artificial intelligence models tailored for everyday applications, making critical technology accessible in multiple languages. It stands out for its commitment to enhancing language translation capabilities, thereby promoting inclusiveness and accessibility in global communications. Working here offers a chance to be at the forefront of AI technology while contributing to solutions that bridge language barriers worldwide.

Company Stage

Series A

Total Funding

$64.5M

Headquarters

San Francisco, California

Founded

2023

Growth & Insights
Headcount

6 month growth

20%

1 year growth

80%

2 year growth

80%