Software Engineer, Machine Learning
Role Overview
Build and improve products that connect people worldwide, addressing complex technical problems across mobile and web applications.
Work with engineering teams focused on advancing user experiences and products.
Key Skills for This Role
Full Job Posting
Role overview
Build and improve products that connect people worldwide, addressing complex technical problems across mobile and web applications.
Work with engineering teams focused on advancing user experiences and products.
Responsibilities
- Collaborate across product, design, operations, and infrastructure teams to build application experiences.
- Implement custom user interfaces and optimize code quality, efficiency, and performance.
- Set team direction, lead initiatives, provide technical guidance, mentor peers, and help onboard team members.
- Architect scalable systems, address performance and scalability issues, and reduce technical debt.
- Work across coding languages and technologies and own components, features, or systems end to end.
Minimum qualifications
- Programming experience in a relevant language.
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- Experience driving organizational change and leading complex technical projects.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
Preferred qualifications
- Understanding of information retrieval concepts such as indexing, querying, and ranking.
- Knowledge of NLP techniques such as text preprocessing, tokenization, and sentiment analysis.
- A master's degree or PhD in Computer Science or a related technical field.
- Experience with TensorFlow, PyTorch, or Scikit-learn.
- Experience with data structures and algorithms, including graph theory and optimization.
- Experience integrating AI tools into workflows, implementing responsible AI practices, or developing AI skills.
About Meta
Meta builds technologies and apps that help people connect, find communities, and grow businesses.
Compensation
- Compensation may include a base hourly rate, monthly rate, or annual salary, determined by skills, qualifications, experience, and location.
- Additional compensation may include bonus, equity, or sales incentives; benefits are also offered.
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