Software Engineer (Technical Leadership) - Machine Learning

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

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks principal engineers to lead ML-enabled products that connect billions. You will oversee complex technical problems, drive long-term roadmaps, and collaborate with leaders across teams to push the boundaries of user experience on mobile and web platforms.

You will lead a world-class engineering and research team, shape product directions, and mentor stakeholders while delivering measurable impact at scale from Menlo Park and beyond.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• 12+ years of programming experience or 8+ years with a PhD.
• Experience leading large cross-functional engineering efforts.
• Ability to explain complex technical problems with data-driven feedback.
• Experience mentoring executive stakeholders across organizations.

Responsibilities

• Drive team's goals and technical direction for ML initiatives.
• Communicate complex features to stakeholders clearly.
• Shape industry-wide tech trend assessments and tech roadmaps.
• Partner with leaders to improve team and organizational performance.
• Lead long-term technical vision for large cross-company efforts.
• Identify opportunities and staff/priority ideas with others.
• Address performance, scalability, and reduce technical debt.

Skills

Technical leadership

Cross-functional collaboration

Communication

Mentoring executives

Strategic planning

Data-driven decisions

Problem solving

Education

Bachelor's degree in CS/Engineering

PhD (preferred)

Masters degree (optional)

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].