Senior ML Engineer & Technical Lead

Meta; United States; On-site; USD 183,997 - 257,000; Full time

Job summary

Meta is seeking experienced engineers to join teams building cutting‑edge products that connect billions of people worldwide. You will tackle complex technical problems, implement advanced interfaces, and optimize code for performance across mobile and web platforms.

The role emphasizes leadership, mentorship, and guiding large initiatives within a fast‑moving ML environment. Compensation includes base salary, bonus, equity, and benefits, with an emphasis on responsible AI practices.

Qualifications

• Experience leading complex technical projects.
• Ability to use data and analysis to explain technical problems and provide solutions.

Responsibilities

• Collaborate with cross‑functional teams to build innovative application experiences.
• Implement custom user interfaces using latest programming techniques and technologies.
• Analyze and optimize code for quality, efficiency, and performance; provide feedback during code reviews.
• Set direction and goals for teams; lead major initiatives and mentor peers.
• Architect efficient and scalable systems that drive complex applications.
• Identify and resolve performance and scalability issues; reduce technical debt.
• Work on a variety of coding languages and technologies.
• Establish ownership of components, features, or systems with end‑to‑end understanding.

Skills

Driving org change

Data-driven problem solving

Education

Masters or PhD in CS or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Meta is seeking experienced engineers to join teams building cutting‑edge products that connect billions of people worldwide. You will tackle complex technical problems, implement advanced interfaces, and optimize code for performance across mobile and web platforms.

The role emphasizes leadership, mentorship, and guiding large initiatives within a fast‑moving ML environment. Compensation includes base salary, bonus, equity, and benefits, with an emphasis on responsible AI practices.