Staff Software Engineer, Applied ML

1 Month ago • 5 Years + • Artificial Intelligence

About the job

Job Description

As a Staff Software Engineer in Applied ML at Character.AI, you'll collaborate with product, data science, data platform, and ML research teams. Your responsibilities include designing and implementing applied ML infrastructure, from data pipelines to model training and serving, for a rapidly growing consumer application. You will lead the implementation of ML backend systems to support new product features and scale existing systems. This role requires experience building RESTful and gRPC web services, managing cloud infrastructure (GCP, AWS, or Azure), and utilizing ML frameworks like PyTorch or TensorFlow. You'll also be involved in CI/CD pipelines and automated testing. The ideal candidate is proactive and results-oriented, making significant contributions quickly.
Must have:
  • B.A./B.S. in CS or equivalent
  • 5+ years industry experience
  • RESTful & gRPC web services
  • Cloud infrastructure experience
  • ML framework (PyTorch/TensorFlow)
  • High-performance service development
  • CI/CD & automated testing
Good to have:
  • End-to-end feature delivery
  • Full pipeline implementation (data ingestion to model training)
  • Production AI/ML systems optimization (GPU/TPU)
  • Experience with vector databases

About the Role

As a Software Engineer you will work cross functionally with product, data science, data platform and ML researchers to identify, design and implement the applied ML infra, ranging from the data pipeline to model training and serving infrastructure, on one of the fastest growing consumer applications on the market today. You will lead implementation of our ML backend systems to support new parts of our product while working with the team to support scaling our existing systems.

Requirements:

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

  • 5+ years of industry experience 

  • Experience building/consuming RESTful and gRPC based web-services

  • Experience building and managing infrastructure in a cloud environment (GCP, AWS or Azure)

  • Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow

  • Experience writing highly performant service in a modern typed language

  • Experience configuring and maintaining CI/CD pipelines and automated testing

Desired Experience:

  • Experience with shipping intelligent features, end-to-end, and from idea to production

  • Experience with understanding, designing or implementing a full pipeline from data ingestion to model training.

  • Experience with production AI/ML systems and services including optimizing GPU/TPU deployments

  • Experience working with vector databases or other feature storage

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)

Canada (On-Site)

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