Staff Software Engineer, Applied ML

2 Months ago โ€ข 5 Years + โ€ข Artificial Intelligence

Job Summary

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, encompassing data pipelines, model training, and serving infrastructure for a rapidly growing consumer application. You'll lead the implementation of ML backend systems for new product features and scale existing systems. This role demands experience with RESTful and gRPC web services, cloud infrastructure (GCP, AWS, or Azure), ML frameworks (PyTorch, TensorFlow), high-performance service development in a typed language, and CI/CD pipelines.
Must have:
  • 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
  • Data ingestion to model training pipeline
  • Production AI/ML systems optimization
  • Vector databases or feature storage

Job Details

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 โ€œget things doneโ€ 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 โ€“ a testament to our groundbreaking technology and vision.

Ready to shape the future of Consumer AI? ๐Ÿš€

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)

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

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

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)

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

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