Staff Software Engineer - Data

4 Months ago • All levels

About the job

Job Description

Experienced Software Engineer with a strong foundation in data technologies to design, develop, and maintain data pipelines and applications.
Must have:
  • Data Engineering
  • SQL Expertise
  • Cloud Platforms
  • Data Modeling
Good to have:
  • Python/Java
  • Big Data Tools
  • Data Visualization
  • Machine Learning
Perks:
  • Competitive Salary
  • Benefits Package

About the Role

Responsibilities:

As a Staff Software Engineer - Data at Character, you'll have the opportunity to work on a diverse and exciting set of projects spanning both software engineering and data engineering domains. Your initial focus will be on three key areas:

  1. Activate our "data flywheel": Develop data pipelines and collaborate with ML researchers to ensure continuous improvement of our AI models and alignment with human feedback.

  2. Evolve our A/B testing framework: Conduct a thorough analysis of our current A/B testing framework and prepare it for the next generation of data-driven product growth.

  3. Enable product team insights: Design, implement, and maintain a robust data warehousing solution for consistent and reliable reporting and ease of data exploration as we continue to better understand our users.

In addition, you may work on optimizing database and application performance, cleaning pre-training datasets, and contributing to service oriented architecture alongside the Staff Software Engineer - Application.

Requirements:

  • B.A.S. in Computer Science or equivalent experience.

  • 4+ years minimum experience in data engineering within a consumer-facing technology company

  • Experience building data warehousing and data pipelines with Big Query, dbt, Ray, Beam and Spark.

  • Experience designing, implementing and supporting end-to-end A/B tests

  • Experiencing managing Elasticsearch, Spanner, Postgres

  • In-depth experience building and managing infrastructure in a cloud environment (esp. GCP)

  • Strong Python and SQL experience

Desired Experience:

  • Experience tuning databases and optimizing query performance

  • Experience setting up containerization with Docker and Kubernetes

  • Familiarity with PyTorch or JAX

  • Excellent problem-solving skills and the ability to work independently and as part of a team

  • Strong communication and collaboration skills

  • Experience writing and maintaining Golang and Terraform code

You will be a good fit if you are proactive and have a “get things done” mindset. Given our current pace of growth and load on our systems, most people have had a significant impact during their first week at the company.

About Character.AI

Founded in 2021, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences.

In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision.

Ready to shape the future of Consumer AI? 🚀

At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

Compensation Range: $150K - $350K

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About The Company

Character is one of the world's leading personal AI platforms. Founded in 2021 by AI pioneers Noam Shazeer and Daniel De Freitas, Character is a full-stack AI company with a globally scaled direct-to-consumer platform. 

Menlo Park, California, United States (On-Site)

Menlo Park, California, United States (On-Site)

Menlo Park, California, United States (On-Site)

New York, New York, United States (On-Site)

Menlo Park, California, United States (On-Site)

New York, New York, United States (On-Site)

New York, New York, United States (On-Site)

Menlo Park, California, United States (On-Site)

Menlo Park, California, United States (On-Site)

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