Software Engineer, Machine Learning

Summary:

Meta is seeking talented experienced 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.

Required Skills:

Software Engineer, Machine Learning 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

Minimum Qualifications:

Minimum Qualifications:

Demonstrated experience driving change within an organization and leading complex technical projects

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

8+ years of programming experience in a relevant language OR 4+ years experience with a PhD

Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Preferred Qualifications:

Preferred Qualifications:

Masters degree or PhD in Computer Science or a related technical field

Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn

Understanding of information retrieval concepts, such as indexing, querying, and ranking

Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques

Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis

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

Public Compensation:

$183,997/year to $257,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff 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 [email protected].

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