Software Engineer, Machine Learning
Meta
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- Machine learning
- Work
- On-site in Bellevue
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning19%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 8, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
Meta's Ads organization builds the systems that help businesses of every size reach the people most likely to care about what they offer. AI is changing all of it - what we build for advertisers and how we build it - and ours is the org where advertiser value is won or lost.
As a Software Engineer, Machine Learning in Ads Products, you will lead complex engineering projects that turn ML capabilities into useful advertiser products. You will develop and integrate models for campaign optimization and advertiser experiences, partnering with product, data science, and engineering teams to define success, evaluate improvements, and deliver reliable capabilities that help businesses achieve better advertising results.
Key Responsibilities
- Define and deliver ML-powered product capabilities for campaign optimization or advertiser experiences, from technical design through launch and iteration.
- Translate advertiser and product needs into model objectives, evaluation methods, and maintainable production software.
- Use data and analysis to diagnose model and product behavior, compare technical approaches, and guide engineering decisions.
- Partner with product, data science, and engineering teams to design experiments and assess advertiser outcomes.
- Lead cross-functional execution across model, data, service, and product integration dependencies for complex projects.
- Improve model and product quality through testing, rollout controls, monitoring, and production feedback.
- Mentor engineers in ML product design, evaluation, and reliable delivery.
- Help teammates ramp up across the model, data, service, and product codebases.
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
- Experience with privacy-preserving measurement and modeling under signal loss.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact.
- Experience adhering to and implementing responsible, ethical AI practices.
- Demonstrated ongoing AI skill development and staying current with emerging AI technologies.