Software Engineering Manager, Generative AI - Characters

Bellevue, WA | Menlo Park, CA | Seattle, WA | New York City | San Francisco, CA

The Generative AI Org at Meta is seeking a technical leader to join our team and work on chatbots, characters and personas. Our team is responsible for making Meta the world’s preferred destination for building and engaging with characters. For Connect 2023, we launched a set of characters that users are able to message and engage with, including Dungeon Master, Billie, and Bob the Robot. In 2024 and beyond, we will be looking to scale our learnings to build a platform where anyone can create a character. Our ML team’s specific responsibility will be to deliver core LLM models that power the overall platform and user experience.Software Engineering Manager, Generative AI - Characters Responsibilities
  • Grow a team of domain experts in LLM for chatbots and characters
  • Drive execution of developing models and systems that are crucial to the end user experience
  • Develop technical vision, long-term strategy and set direction for the team and the organization
  • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects
Minimum Qualifications
  • Track record in landing product impact
  • 3+ years of hands-on supporting and leading teams of ML engineers/scientists
  • Proven technical vision in where the field of Generative AI will go
  • Experience with cross functional collaboration with product and platform teams, as well as non-engineering functions
  • Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management
  • 5+ years of hands on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
Preferred Qualifications
  • PhD in deep learning, artificial intelligence, and/or related technical field
  • Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.
  • Experience and knowledge of working with LLM frameworks like LangChain
  • Experience and knowledge of training LLMs
LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $१,७७,०००/year to $२,५१,०००/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Apply now Apply later
  • Share this job via
  • or

Tags: Chatbots Deep Learning Engineering Generative AI LangChain LLMs Machine Learning NLP PhD Physics PyTorch Research TensorFlow VR

Perks/benefits: Career development Equity Health care Salary bonus

Region: North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.