META
Summary:
Join our innovative engineering team as a Lead Machine Learning Software Engineer at Meta. We are looking for talented Machine Learning Engineers with substantial industry experience in tackling significant classification and optimization challenges such as payment fraud detection, click-through rate prediction, and collaborative filtering. This role involves leveraging your expertise to address some of the most impactful social data issues on the internet. If you're passionate about driving technical excellence and enhancing organizational efficiency, we want to hear from you! Responsibilities: Shape the team's strategic goals and technical direction to maximize efficiency across the organization. Effectively articulate complex features and systems. Analyze industry trends to identify and implement new technologies. Partner with organizational leaders to elevate team and company performance. Discover new opportunities and influence decision-making regarding staffing and prioritization. Gather and synthesize requirements to create a practical feature roadmap. Design and develop scalable classifiers and tools using machine learning and data regression. Adapt machine learning techniques to optimize for modern parallel computing environments (distributed clusters, multicore SMP, GPU). Minimum Qualifications: 12+ years of programming experience in languages such as Python, C++, Java, or R. 8+ years of experience in machine learning, recommendation systems, pattern recognition, NLP, data mining, or AI. Proven experience leading impactful projects and mentoring engineers across organizations. Demonstrated ability to plan multi-year roadmaps aligning short-term projects with long-term objectives. Experience driving large-scale, cross-functional engineering initiatives. Bachelor's degree in Computer Science, Computer Engineering, or a related technical field. Preferred Qualifications: Experience launching products to millions of users or initiating new product lines. Familiarity with big data tools such as Hadoop, Spark, and Hive. Expertise in various machine learning domains. Compensation:
$213,000/year to $293,000/year + bonus + equity + benefits. Equal Opportunity:
Meta is an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodation:
Meta is dedicated to providing reasonable accommodations for candidates with disabilities during the recruiting process. Please let us know if you require assistance.
Join our innovative engineering team as a Lead Machine Learning Software Engineer at Meta. We are looking for talented Machine Learning Engineers with substantial industry experience in tackling significant classification and optimization challenges such as payment fraud detection, click-through rate prediction, and collaborative filtering. This role involves leveraging your expertise to address some of the most impactful social data issues on the internet. If you're passionate about driving technical excellence and enhancing organizational efficiency, we want to hear from you! Responsibilities: Shape the team's strategic goals and technical direction to maximize efficiency across the organization. Effectively articulate complex features and systems. Analyze industry trends to identify and implement new technologies. Partner with organizational leaders to elevate team and company performance. Discover new opportunities and influence decision-making regarding staffing and prioritization. Gather and synthesize requirements to create a practical feature roadmap. Design and develop scalable classifiers and tools using machine learning and data regression. Adapt machine learning techniques to optimize for modern parallel computing environments (distributed clusters, multicore SMP, GPU). Minimum Qualifications: 12+ years of programming experience in languages such as Python, C++, Java, or R. 8+ years of experience in machine learning, recommendation systems, pattern recognition, NLP, data mining, or AI. Proven experience leading impactful projects and mentoring engineers across organizations. Demonstrated ability to plan multi-year roadmaps aligning short-term projects with long-term objectives. Experience driving large-scale, cross-functional engineering initiatives. Bachelor's degree in Computer Science, Computer Engineering, or a related technical field. Preferred Qualifications: Experience launching products to millions of users or initiating new product lines. Familiarity with big data tools such as Hadoop, Spark, and Hive. Expertise in various machine learning domains. Compensation:
$213,000/year to $293,000/year + bonus + equity + benefits. Equal Opportunity:
Meta is an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodation:
Meta is dedicated to providing reasonable accommodations for candidates with disabilities during the recruiting process. Please let us know if you require assistance.