Software Engineer, Machine Learning

Meta; Burlingame (CA); On-site; USD 184,000 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking experienced software engineers to join our machine learning teams in Burlingame, CA, tackling complex problems and building scalable AI-powered products. You will collaborate with product, design, and infrastructure teams, implement advanced interfaces, and mentor peers while driving major initiatives.

Experience with TensorFlow, PyTorch, or Scikit-learn, plus NLP and information retrieval concepts, supports strong impact on efficiency and quality across platforms.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 8+ years of programming experience in a relevant language or 4+ years with a PhD.
• Experience using data and analysis to explain technical problems and provide solutions.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using latest programming techniques and technologies.
• Analyze and optimize code for quality, efficiency, and performance; provide feedback during code reviews.
• Set direction and goals for teams; lead major initiatives and mentor peers.
• Architect efficient and scalable systems for complex applications.
• Identify and resolve performance and scalability issues; reduce technical debt.
• Work on a variety of coding languages and technologies.
• Establish ownership of components, features, or systems with end-to-end understanding.

Skills

TensorFlow

PyTorch

Scikit-learn

NLP

Data structures

Education

Bachelor's degree in Computer Science, Computer Engineering, or related field

PhD (optional)

Tools

Python

C++

JavaScript

Job description

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.

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:

• 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:

• 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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, 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 [e-mail].

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

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.