Software Engineer, Machine Learning, Applied AI
Role Overview
Join Meta's Applied AI Engineering organization to improve frontier language models on real-world tasks and advance AI products.
The organization works closely with Meta Superintelligence Labs and operates with broad scope, light processes, and fast decisions.
Key Skills for This Role
Full Job Posting
Role overview
Join Meta's Applied AI Engineering organization to improve frontier language models on real-world tasks and advance AI products.
The organization works closely with Meta Superintelligence Labs and operates with broad scope, light processes, and fast decisions.
Responsibilities
- Collaborate across product, design, operations, and infrastructure to build application experiences and custom user interfaces.
- Optimize code quality, efficiency, and performance, and provide peer feedback during code reviews.
- Set direction and goals, lead initiatives, mentor engineers, and support onboarding.
- Architect scalable systems; resolve performance and scalability issues; reduce technical debt.
- Own components and systems end to end and work across coding languages and technologies.
- Identify model capability gaps and build agentic pipelines, reinforcement-learning environments, and evaluations that generate training signals.
Minimum qualifications
- Demonstrated experience driving organizational change and leading complex technical projects.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
Preferred qualifications
- A master's degree or PhD in computer science or a related technical field.
- Experience with TensorFlow, PyTorch, or Scikit-learn; understanding of information retrieval, data structures, algorithms, graph theory, or optimization.
- Knowledge of NLP, including text preprocessing, tokenization, and sentiment analysis.
- Experience integrating AI tools into workflows, applying responsible AI practices, and developing skills in prompt/context engineering or agent orchestration.
- Experience designing synthetic-data or evaluation pipelines and building verifiable environments and quality controls for AI training data.
About Meta
Meta builds technologies for connection, communities, and businesses, including Facebook, Messenger, Instagram, and WhatsApp.
Meta is developing immersive augmented- and virtual-reality experiences and other social technologies.
Compensation
- Compensation is determined by skills, qualifications, experience, and location.
- The posting refers to base hourly, monthly, or annual compensation but does not specify a rate or cadence for this role; bonus, equity, or sales incentives may be additional.
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