Software Engineer (Technical Leadership) - Machine Learning

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

Job summary

Meta seeks talented principal engineers to join teams building cutting-edge products that connect billions worldwide. You will oversee complex technical problems, build features, and improve products across mobile and web platforms, guiding initiatives with global impact.

You will lead a world-class team of engineers and researchers, shaping long-term technical vision and mentoring staff while collaborating with leaders to deliver scalable, high-quality solutions. Based in Burlingame, CA.

Qualifications

• Bachelor's or higher in CS/ENG or equivalent experience.
• Experience planning multi-year roadmaps linked to mission.
• Experience driving large cross-functional engineering efforts.
• Experience using data to explain problems and guide solutions.
• Experience mentoring executive stakeholders.

Responsibilities

• Drive team goals and technical direction to improve organizational efficiency.
• Communicate complex features and systems clearly.
• Assess industry trends to develop new technologies.
• Collaborate with leaders to improve team performance.
• Identify opportunities and influence staffing and priorities.
• Lead long-term technical vision and cross-company roadmaps.
• Synthesize requirements and create a feature roadmap.
• Address performance and scalability challenges and reduce tech debt.

Skills

Technical leadership

Communication of complex features

Cross-functional collaboration

Mentoring executives

Programming experience 12+ years

Education

Bachelor's degree in Computer Science or related field

Masters or PhD in CS or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Summary:

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.

Required Skills:

Software Engineer (Technical Leadership) - Machine Learning Responsibilities:

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

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
3. Experience driving large cross-functional/industry-wide engineering efforts
4. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
5. Experience communicating and working across functions to drive solutions
6. Experience mentoring/influencing executive stakeholders across organizations
7. 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
2. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
3. Understanding of information retrieval concepts, such as indexing, querying, and ranking
4. Masters degree or PhD in Computer Science or a related technical field
5. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
6. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
7. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
8. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation:

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

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affinitive 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].