Summary: Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on classification and optimization problems such as payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position involves applying these skills to large-scale social data and prediction challenges on the web. Required Skills: Responsibilities: Drive the team's goals and technical direction to improve organizational efficiency. Communicate complex features and systems effectively. Assess industry and company-wide trends to develop new technologies. Collaborate with leaders to enhance team and organizational performance. Identify new opportunities and influence staffing and prioritization. Create effective feature roadmaps based on requirements. Develop scalable classifiers and tools using machine learning, data regression, and rules-based models. Optimize machine learning methods for modern parallel environments (distributed clusters, multicore SMP, GPU). Minimum Qualifications: Experience leading projects with industry-wide impact. Ability to communicate and collaborate across functions. Mentoring and influencing engineers across organizations. Proven experience planning multi-year roadmaps connecting short-term projects to long-term vision. Experience driving large cross-functional engineering efforts. 12+ years in programming languages such as Python, C++, Java, or R with a strong technical background. 8+ years in machine learning, recommendation systems, pattern recognition, NLP, data mining, or AI. Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience. Preferred Qualifications: Experience shipping products to millions or starting new product lines. Experience with Hadoop, Pig, MapReduce, Sawzall, Bigtable, Hive, Spark. Expertise in machine learning, recommendation systems, pattern recognition, NLP, data mining, or AI. Compensation: $213,000 to $293,000 per year, plus bonus, equity, and benefits. Industry: Internet Equal Opportunity: Meta is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics. We consider qualified applicants with criminal histories in accordance with law. Meta participates in the E-Verify program where required. We may use AI and machine learning in our employment processes. Meta is committed to providing accommodations for candidates with disabilities. Contact us at accommodations-ext@fb.com for assistance. #J-18808-Ljbffr