Software Engineer, Machine Learning

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

• Lead the development of scalable infrastructure solutions that support the deployment and optimization of AI models for smart glasses.
• Independently lead workstreams within and outside the organization, supervising other engineers and collaborating across multiple teams to solve problems of large scope.
• Lead the migration of AI models to scalable platforms like PyPredictor, enhancing service scalability and reducing latency.
• Develop and implement advanced model architectures, such as the encoder-perceiver-Llama3, to improve performance and enable real-time AI experiences.
• Drive the development of multimodal large language models and generative AI systems, ensuring cutting-edge solutions are implemented.
• Enhance query quality by developing evaluation metrics and improving processes to ensure high-quality user experiences, including prompt tuning and novel quality evaluation methods.
• Deep technical understanding to lead initiatives to ensure compliance with high privacy standards, contributing to successful product launches.

Minimum Qualifications

• Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, or a related field, and 1 year of experience in the job offered or a related occupation.
• Requires 1 year of experience in the following:
• 1. Working on large-scale projects that involve multi-organizational collaboration
• 2. Refining and improving the performance of generative AI models in a product focused context
• 3. Launching a significant AI product feature end to end
• 4. Integrating, enhancing, and assessing generative AI models for summarization tasks, including incorporating multimodal components like images
• 5. Programming in Python and utilizing machine learning frameworks such as PyTorch or TensorFlow
• 6. Managing extensive multimodal datasets on distributed computing resources to support evaluation and improvement of text summarization features
• 7. Leading projects and supervising engineering teams
• 8. Engaging in cross-functional partnerships with a demonstrated history of delivering new products or key features and
• 9. Creating privacy-preserving solutions while maintaining compliance with relevant industry standards.

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$218,402/year to $240,240/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.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.