Software Engineer, Machine Learning
Meta
Software Engineer, Machine Learning
Job Description
Meta is seeking talented 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 have the opportunity to work on 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 joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Locations
- London, UK
Salary
Estimated Salary Rangehigh confidence
90,000 - 150,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- programming in relevant languageintermediate
- TensorFlow, PyTorch, or Scikit-learnintermediate
- NLP techniques (text preprocessing, tokenization, sentiment analysis)intermediate
- information retrieval (indexing, querying, ranking)intermediate
- data structures and algorithms (graph theory, optimization)advanced
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field (degree)
- equivalent practical experience (experience)
- driving change within an organization and leading complex technical projects (experience)
- utilizing data and analysis to explain technical problems (experience)
- Master's degree or PhD in Computer Science or related technical field (degree)
Responsibilities
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
- Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
- Work on a variety of coding languages and technologies
- Establish ownership of components, features, or systems with expert end-to-end understanding
Benefits
- equal-opportunity: Meta is an Equal Employment Opportunity employer and does not discriminate based on protected characteristics. Committed to providing reasonable accommodations for qualified individuals with disabilities.
- career-development: Opportunity to work on cutting-edge products, collaborate with world-class teams, and contribute to global impact projects.
Software Engineer, Machine Learning
Meta
Software Engineer, Machine Learning
Job Description
Meta is seeking talented 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 have the opportunity to work on 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 joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Locations
- London, UK
Salary
Estimated Salary Rangehigh confidence
90,000 - 150,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- programming in relevant languageintermediate
- TensorFlow, PyTorch, or Scikit-learnintermediate
- NLP techniques (text preprocessing, tokenization, sentiment analysis)intermediate
- information retrieval (indexing, querying, ranking)intermediate
- data structures and algorithms (graph theory, optimization)advanced
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field (degree)
- equivalent practical experience (experience)
- driving change within an organization and leading complex technical projects (experience)
- utilizing data and analysis to explain technical problems (experience)
- Master's degree or PhD in Computer Science or related technical field (degree)
Responsibilities
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
- Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
- Work on a variety of coding languages and technologies
- Establish ownership of components, features, or systems with expert end-to-end understanding
Benefits
- equal-opportunity: Meta is an Equal Employment Opportunity employer and does not discriminate based on protected characteristics. Committed to providing reasonable accommodations for qualified individuals with disabilities.
- career-development: Opportunity to work on cutting-edge products, collaborate with world-class teams, and contribute to global impact projects.