Software Engineering Manager, Machine Learning
Singapore
Meta
Giving people the power to build community and bring the world closer together
Meta’s Enterprise Product Applied Research team is responsible for imagining and effecting what the Meta Enterprise will look like in an AI-first world. We leverage state-of-the-art AI to build transformative products that make Metamates more productive, improve the quality of their work, and equip them to do amazing things. In the process, we are continuously setting new standards for what is possible with AI and challenging the limits of the technology.Software Engineering Manager, Machine Learning Responsibilities
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
- Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area
- Work with your team and cross-functional partners to define and influence strategy
- Drive roadmap creation and execution
- Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level
- Participate in technical design
- Measure the impact of your team and set clear expectations and goals
- Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes
- Partner with leadership to influence and drive organization design, contribution and prioritization
- Demonstrated experience recruiting and managing technical teams, including performance management
- Be both highly technical and an effective people manager
- Experience supporting machine learning teams
- 5+ years of software engineering work experience, including hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain
- 5+ years experience coding in one of the following languages: C++, Java, Python and/or PHP
- BS / MS in Computer Science or related discipline (In lieu of degree, 4+ years work experience)
- Be a subject matter expert in an ML domain
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Leadership Jobs
Machine Learning Jobs
Tags: Computer Science Engineering Java Machine Learning PHP Physics Python Research VR
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
Singapore
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