Software Engineer, Machine Learning

# Software Engineer, Machine Learning Meta Full  Time San Francisco, California, USPosted Yesterday##

Role Overview Meta is hiring a Software Engineer, Machine Learning. This is a full-time role in San Francisco, California. Part of Meta's Mobile hiring, posted yesterday. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting. Market median for Mobile roles is $140k-$200k (based on 261 comparable listings).

Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

Tensor Flow Py Torchscikit -learnORCompensation Benefits Meta As Sign  up free to auto-tailor your resume with all these keywords and get a higher ATS score## 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.

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.

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

Preferred Qualifications
* Masters degree or PhD in Computer Science or a related technical field
* Experience with frameworks like Tensor Flow, 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 Whats App 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…