Software Engineering Manager, Machine Learning
Role summary
Meta is seeking a Software Engineering Manager for Machine Learning to lead and empower a team of high-performing engineers. This role involves managing engineers to deliver impactful products and solutions, collaborating with cross-functional teams, and developing technical strategies aligned with business objectives. The ideal candidate will have a strong background in software engineering and technical management, with experience in coaching, mentoring, recruiting, and performance management. Preferred qualifications include hands-on experience with large-scale ML systems, integrating AI tools for workflow optimization, and implementing ethical AI practices.
Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As an engineering manager you will support, enable and empower your team, managing high performing engineers to make a meaningful impact on billions of people around the world. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility.
Software Engineering Manager, Machine Learning Responsibilities:
- Lead and manage a team of software engineers to deliver high-quality products and solutions
- Collaborate with cross-functional teams to drive technical innovation
- Develop and implement technical strategies to achieve business objectives
- Foster an environment of continuous learning, growth, and improvement
Minimum Qualifications:
- Experience supporting, coaching, mentoring, and developing software engineers
- 8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management
- Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management
- Bachelor of Science/Masters in Computer Science or equivalent practical experience
- 2+ years of experience in managing a team of engineers with varied skill levels
Preferred Qualifications:
- Hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- 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)
- 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
- 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. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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 accommodations-ext@meta.com.
$184,000/year to $257,000/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.