Software Engineer (Technical Leadership) - Machine Learning

Meta; Burlingame (CA); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta is looking for talented principal engineers to help build innovative products that connect billions globally. The role involves overseeing complex technical challenges and leading engineering teams to enhance user experience across platforms.

Qualified candidates should have extensive programming experience, a strong grasp of AI techniques, and the ability to communicate effectively across functions. Compensation ranges from $219,000 to $301,000 annually, plus bonuses and equity offerings.

Qualifications

• 12+ years of programming experience in a relevant language or 8+ years with a PhD.
• Experience driving cross-functional engineering efforts.
• Proven track record of planning multi-year roadmaps.

Responsibilities

• Drive the team's goals and technical direction.
• Identify and resolve performance and scalability issues.
• Lead long-term technical vision and roadmap.

Skills

Programming experience

Data analysis

Mentoring executive stakeholders

Experience with AI techniques

Education

Bachelor's degree in Computer Science or equivalent

PhD in Computer Science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Meta is seeking talented principal 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 oversee complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in leading a world‑class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.

Responsibilities

• Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
• Effectively communicate complex features and systems in detail
• Understand industry & company‑wide trends to help assess & develop new technologies
• Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
• Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
• Lead long‑term technical vision and roadmap for large cross‑company efforts
• Suggest, collect and synthesize requirements and create an effective feature roadmap
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Proven track record of planning multi‑year roadmap in which short‑term projects ladder to the long‑term mission
• Experience driving large cross‑functional/industry‑wide engineering efforts
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
• Experience communicating and working across functions to drive solutions
• Experience mentoring/influencing executive stakeholders across organizations
• 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD

Preferred Qualifications

• Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
• Experience with frameworks like TensorFlow, PyTorch, or Scikit‑learn
• Understanding of information retrieval concepts, such as indexing, querying, and ranking
• Masters degree or PhD in Computer Science or a related technical field
• 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

$219,000/year to $301,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].