Menlo Park, California
Software Engineer - AI Solutions and Automation + Support
Job details
- Location
- Menlo Park, California
- Work type
- Onsite
- Compensation
- $183,997 - $257,000/yr
- Posted
- 1 week ago
- Apply on
- metacareers.com
About this role
Meta is seeking experienced engineers to join AI Solutions and Automation + Support (ASA+S), where we apply state-of-the-art AI and autonomous agents to the products and support experiences used by billions of people. We build agents that resolve real problems for users, creators and businesses, along with the platforms, evaluation systems and model infrastructure that let those agents ship safely and at scale. This is applied AI where research meets production: you'll build and optimise LLM and agentic systems, design the data and evaluation foundations that make them trustworthy, and take frontier techniques from prototype to production. It's deliberately high-leverage work; what we prove once becomes a platform other teams build on. If you want to work on genuinely novel agent problems and see your work reach real users quickly, this is where you belong.
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
- 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Programming experience in a relevant language
- 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 inference infrastructure, model evaluations, agent runtime, or synthetic data generation a plus
- 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 ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Compensation
- $183,997/year - $257,000/year; Country: US; Bonus eligible; Equity eligible
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.
California Notice
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Equal 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.
Accommodations
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.
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