Software Engineer, Applied ML (Discovery, Recommendation & Search)
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- Work arrangement
- hybrid
- Employment
- FullTime
- Stated compensation
- USD 200,000–300,000 1 YEAR
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 5
“5+ years of industry experience”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 200,000–300,000 1 YEAR
7 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
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About the Role
As a Software / ML Engineer you will work cross functionally with product, data science and data platform to identify, design and implement the applied ML models and infra, ranging from the model optimization, data pipeline to model training and serving infrastructure, on one of the fastest growing native AI consumer applications on the market today. You will work on implementation of our ML backend systems to power the discovery surfaces including recommendation, ranking and search, supporting new AI generated content formats on our product while working with the team to support optimizing 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
Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.
In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach.
Join us and be a part of establishing this new entertainment paradigm while shaping 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.
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