Software Engineer Leadership, Machine Learning RecSys
About the role
Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products with the mission of connecting billions of people around the world. As a member of our team, you will work on complex technical problems, build new features, and improve existing products across mobile and web platforms. Our teams push the boundaries of user experience, and we're looking for passionate individuals to help advance global connectivity.
Responsibilities
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using the latest programming techniques and technologies
- Develop reusable software components for interfacing with back-end platforms
- Analyze and optimize code for quality, efficiency, and performance
- Lead complex technical or product efforts and provide technical guidance to peers
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues
- Work with a variety of coding languages and technologies
- Establish ownership of components, features, or systems with expert end-to-end understanding
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 4+ years of experience in software engineering, or a relevant field (3+ years if you have a PhD)
- 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or related technical field
- Experience developing machine learning models at scale from inception to business impact
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Experience with scripting languages such as Python, JavaScript, or Hack
- Proven ability to set technical direction and influence product strategy
- Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
- Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
- Experience building and shipping high-quality work and achieving high reliability
- Experience utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
- Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
Preferred Qualifications
- Master's degree or PhD in Computer Science or a related technical field
- Exposure to architectural patterns of large-scale software applications
- Experience with scripting languages such as PyTorch and TensorFlow
- Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
- 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)
- 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. From Facebook's launch in 2004 to apps like Messenger, Instagram, and WhatsApp, Meta has empowered billions globally. Now, we're moving beyond 2D screens toward immersive experiences like augmented and virtual reality to shape the next evolution in social technology.
Pay
Individual compensation is determined by skills, qualifications, experience, and location. The annual base salary range for this role is $219,000 to $301,000, plus bonus, equity, and benefits.
Benefits
Meta offers comprehensive benefits. Learn more about benefits at Meta.