Software Engineer, Machine Learning, Applied AI
Role Overview
The Applied AI Engineering organization develops systems and training signals to improve frontier language models on real-world tasks.
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
The Applied AI Engineering organization develops systems and training signals to improve frontier language models on real-world tasks.
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.
- Implement custom user interfaces and optimize code quality, efficiency, and performance.
- Set team direction, lead initiatives, mentor peers, and onboard team members.
- Architect scalable systems, address performance issues, and reduce technical debt.
- Own components, features, or systems end to end.
- Identify model capability gaps and build agentic pipelines, reinforcement-learning environments, and evaluations that generate training signals.
Minimum qualifications
- At least 8 years of relevant programming experience, or at least 4 years of experience with a PhD.
- Experience driving organizational change and leading complex technical projects.
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- Experience using data and analysis to explain technical problems and provide 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, and optimization.
- Knowledge of NLP techniques such as text preprocessing, tokenization, and sentiment analysis.
- Experience integrating AI tools into workflows and applying responsible AI practices.
- Ongoing AI skill development, including prompt or context engineering and agent orchestration.
- Experience designing synthetic training-data or evaluation pipelines and quality controls for AI training data.
About Meta
Meta builds technologies and apps that help people connect, find communities, and grow businesses.
Compensation
- Compensation may include a base hourly rate, monthly rate, or annual salary, determined by skills, qualifications, experience, and location.
- Additional compensation may include bonus, equity, or sales incentives; benefits are also offered.
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