Software Engineer, Machine Learning, Applied AI
Role Overview
The Applied AI Engineering organization builds systems and workflows that improve frontier language models on real-world tasks.
The role identifies model capability gaps and develops systems, agentic pipelines, reinforcement learning environments, and evaluations that generate training signals.
The organization describes itself as a flat, AI-native group with broad scope and fast decisions.
Key Skills for This Role
Full Job Posting
Role overview
The Applied AI Engineering organization builds systems and workflows that improve frontier language models on real-world tasks.
The role identifies model capability gaps and develops systems, agentic pipelines, reinforcement learning environments, and evaluations that generate training signals.
The organization describes itself as a flat, AI-native group with broad scope and fast decisions.
Responsibilities
- Collaborate with product, design, operations, and infrastructure teams to build application experiences.
- Implement custom user interfaces using current programming techniques and technologies.
- Analyze and optimize code quality, efficiency, and performance, and provide feedback in code reviews.
- Set team direction and goals, lead major initiatives, mentor peers, and help onboard team members.
- Architect efficient, scalable systems for complex applications.
- Resolve performance and scalability issues and lead efforts to reduce technical debt.
- Work across a range of programming languages and technologies.
- Own components, features, or systems with expert end-to-end understanding.
Minimum qualifications
- At least 8 years of programming experience in a relevant language, or at least 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, 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
- 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, including indexing, querying, and ranking.
- Knowledge of data structures and algorithms, including graph theory and optimization.
- Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis.
- Experience integrating AI tools into workflows and implementing responsible, ethical AI practices.
- Ongoing AI skill development, including prompt or context engineering and agent orchestration.
- Experience designing automated pipelines for synthetic training data or evaluation tasks.
- Experience building verifiable AI training environments and quality controls, such as test harnesses, automated graders, contamination detection, and taxonomy coverage.
- Ability to solve ambiguous problems and propose process and technical improvements in a fast-moving organization.
About Meta
Meta builds technologies and products intended to help people connect, find communities, and grow businesses.
Meta is developing augmented and virtual reality experiences and related technologies.
Compensation information
- The posting states that individual compensation depends on skills, qualifications, experience, and location.
- Base compensation may be expressed as an hourly rate, monthly rate, or annual salary; the posting does not specify a cadence or amount for this role.
- Benefits are offered in addition to base compensation.
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
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
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