Software Engineer, Machine Learning, Applied AI
Role Overview
Join Meta's Applied AI Engineering organization to help improve frontier language models and AI products for real-world tasks.
The team 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 help improve frontier language models and AI products for real-world tasks.
The team 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.
- Analyze and optimize code quality, efficiency, and performance; provide feedback during code reviews.
- Set team direction, lead major initiatives, mentor peers, and help onboard new team members.
- Architect scalable systems, resolve performance issues, and reduce technical debt.
- Work across coding languages and technologies and own components, features, or systems end to end.
- Identify model capability gaps and build systems, agentic pipelines, reinforcement-learning environments, and evaluations that produce training signals.
Minimum qualifications
- 8+ years of programming experience in a relevant language, or 4+ years of experience with a PhD.
- Demonstrated 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 detailed feedback and solutions.
Preferred qualifications
- 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 techniques such as text preprocessing, tokenization, and sentiment analysis.
- Experience integrating AI tools into workflows and implementing responsible AI practices, including risk assessment and bias mitigation.
- Ongoing AI skill development, such as prompt or context engineering and agent orchestration, and familiarity with emerging AI technologies.
- Experience designing synthetic training-data or evaluation pipelines, or building AI training-data environments and quality controls.
About Meta
Meta builds technologies and apps that help people connect, find communities, and grow businesses, and develops augmented- and virtual-reality experiences.
Compensation
- The posting describes compensation as potentially based on an hourly rate, monthly rate, or annual salary; it does not specify a cadence or amount for this role.
- Compensation is determined by skills, qualifications, experience, and location; benefits are also offered.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Meta
Software Engineer, PyTorch | Ingénieur logiciel, PyTorch
Vancouver, CAN
Meta builds technologies that help people connect, find communities, and grow businesses. Our product engineering teams work across Meta's family of apps and services — including Facebook, Instagram, Messenger, and Whats
Software Engineer, Machine Learning, Applied AI
London, GBR
Meta is seeking an experienced Software Engineer to build systems and training workflows that improve frontier AI models and products. The role involves scalable software architecture, cross-functional delivery, and tech
Software Engineer, Machine Learning
London, GBR
Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical
Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)
Cambridge, GBR
Meta Reality Labs Research is seeking a PhD-level intern to research audio and speech technologies for AR and VR, using machine learning, signal processing, and computer vision. Applicants need a relevant PhD in progress
Research Scientist - Monetization GenAI
London, GBR
Meta Monetization GenAI is focused on making significant progress in AI-powered content generation for ads applications. In the past two years, generative AI has observed some of the most significant breakthroughs ever a
Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)
Cambridge, GBR
Meta seeks a PhD-level research intern to develop and evaluate machine-learning approaches for audio and speech problems in AR/VR. Candidates need relevant doctoral studies, programming and ML-platform experience, and ex
Software Engineer, Machine Learning, Applied AI
London, GBR
Meta seeks an experienced engineer to improve frontier AI models by building systems, agentic pipelines, reinforcement-learning environments, and evaluations. Candidates need 8+ years of relevant programming experience,
Research Scientist - Monetization GenAI
London, GBR
Meta seeks a research scientist to advance generative AI for image, video, and text ad creation and editing, and help bring research into production. Applicants need a PhD in computer vision or machine learning, a strong
Software Engineer, PyTorch | Ingénieur logiciel, PyTorch
Vancouver, CAN
Software Engineer, Machine Learning, Applied AI
London, GBR
Software Engineer, Machine Learning
London, GBR
Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)
Cambridge, GBR
Research Scientist - Monetization GenAI
London, GBR
Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)
Cambridge, GBR
Software Engineer, Machine Learning, Applied AI
London, GBR
Research Scientist - Monetization GenAI
London, GBR