Software Engineer, Machine Learning - Ranking, Home Feed, Standalone Apps Team

**Summary:** We're Meta's Standalone Apps Team — we build new apps to reach new user scenarios and serve needs that aren't well met today. The project we're building right now is an image-and-text community where real people share first-hand experiences and recommendations — what to try, where to go, how to do something. It's where people come to get inspired and to make everyday decisions, learning from others who've actually been there. It's still early — a small team working 0→1.If you want high ownership, a short path from idea to ship, and the chance to shape a product from its first version, this is that kind of team.We're looking for a staff-level ML engineer to own ranking for the home feed. You'll set the modeling and systems direction for the feed that defines the product experience, and drive measurable gains in engagement and quality. **Required Skills:** Software Engineer, Machine Learning - Ranking, Home Feed, Standalone Apps Team Responsibilities: 1. Own the modeling and systems direction for home-feed ranking — candidate generation, ranking models, features, and the serving stack. 2. Define the metrics and experimentation approach for feed quality 3. drive measurable improvements while guarding against low-quality content. 4. Build and scale the ML systems (training, features, serving) that ranking depends on. 5. Set technical direction across teams 6. align ranking work with product strategy. 7. Mentor ML and product engineers 8. raise the bar on modeling and experimentation rigor. **Minimum Qualifications:** Minimum Qualifications: 9. 12+ years of relevant experience, with deep expertise in recommendation systems / ranking 10. Strong foundation in ML (modeling, features, evaluation) and in the systems that train and serve models at scale 11. Track record of driving ranking/recsys improvements that moved product metrics 12. Experience setting technical direction across multiple teams **Preferred Qualifications:** Preferred Qualifications: 13. Experience building ranking for a new product or cold-start feed (0→1, sparse data) 14. Experience with large-scale recommendation infrastructure and online experimentation 15. Publications or recognized contributions in recsys/ML **Public Compensation:** $271,000/year to $347,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.