Software Engineer, Machine Learning

About the role

Meta is seeking talented experienced 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 work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams constantly push the boundaries of user experience, and we’re looking for passionate individuals who can help advance the way people connect globally.

Responsibilities

• Collaborate with cross‑functional teams (product, design, operations, infrastructure) to build innovative application experiences.
• Implement custom user interfaces using the latest programming techniques and technologies.
• Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews.
• Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members.
• Architect efficient and scalable systems that drive complex applications.
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt.
• Work on a variety of coding languages and technologies.
• Establish ownership of components, features, or systems with expert end‑to‑end understanding.

Minimum Qualifications

• Demonstrated experience driving change within an organization and leading complex technical projects.
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions.

Preferred Qualifications

• Experience with frameworks like TensorFlow, PyTorch, or Scikit‑learn.
• Understanding of information retrieval concepts, such as indexing, querying, and ranking.
• Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques.
• Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. From the launch of Facebook in 2004 to the expansion of Messenger, Instagram, and WhatsApp, Meta has empowered billions worldwide. Today, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality, shaping the next evolution in social technology.

Compensation

$183,997 per year to $257,000 per year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. In addition to base compensation, Meta offers a comprehensive benefits package.