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Software Engineer, Machine Learning - AI Solutions and Automation

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-11-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Software Engineer, Machine Learning - AI Solutions and Automation + Support# Software Engineer, Machine Learning - AI Solutions and Automation + Support Menlo Park, CA Engineering+ 1 more Apply nowMeta 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 s is applied AI where research meets production: you'll build and optimize 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 that other teams build on. If you want to work on genuinely novel agent problems and see your work reach real users quickly, this is the right team for you.

---## Software Engineer, Machine Learning - AI Solutions and Automation + Support Responsibilities
* Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
* Implement custom user interfaces using the 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
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