Machine Learning Software Engineering Manager
Meta
Job Overview
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Job Description
Machine Learning Software Engineering Manager at Meta
Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As a leader in the tech industry, we are looking for someone who can drive innovation, collaboration, and technical proven experience.
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 and proven experience
- Develop and implement technical strategies to achieve business objectives
- Foster a work environment of continuous learning, growth, and improvement
Minimum Qualifications
- Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
- 12+ years, or PhD + 8 years, of software engineering work experience, including technical management
- BS or MS in Computer Science, Engineering, or a related technical discipline or equivalent experience
- 2+ years managing managers, 5+ years managing technical teams
Preferred Qualifications
- Hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain
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.
Key skills/competency
- Machine Learning
- Software Engineering Management
- Technical Leadership
- Cross-functional Collaboration
- Strategic Planning
- Large-scale Systems
- Algorithm Development
- Performance Management
- Team Building
- Innovation Driving
How to Get Hired at Meta
- Research Meta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for ML leadership: Highlight extensive experience in machine learning software engineering, team management, and large-scale system development, using keywords from the job description.
- Showcase technical management prowess: Prepare to discuss specific examples of leading technical teams, driving innovation, and delivering complex ML products during interviews.
- Master behavioral and situational questions: Practice STAR method responses demonstrating leadership, collaboration, and problem-solving skills relevant to a manager of managers role.
- Network within Meta: Connect with current or former Meta employees on LinkedIn for insights and potential referrals, enhancing your application visibility.
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