Come join as a Senior Staff Machine Learning Engineer (MLE).
Senior Staff MLEs deliver end-to-end AI solutions that span multiple domains and products, influencing the strategic direction of machine learning and AI across the company. You will identify cross-cutting opportunities, set technical direction for complex systems, and deliver scalable, responsible AI-driven experiences that unlock customer and business value at scale.
In this role, youll be expected to define and evolve ML architecture, guide multiple teams, and drive execution excellence across the full ML lifecycle-from experimentation to production. Youll partner closely with AI scientists, product engineers, and business leaders to solve high-impact problems and pioneer new capabilities that advance AI-native platform.
Senior Staff MLEs deliver end-to-end AI solutions that span multiple domains and products, influencing the strategic direction of machine learning and AI across the company. You will identify cross-cutting opportunities, set technical direction for complex systems, and deliver scalable, responsible AI-driven experiences that unlock customer and business value at scale.
In this role, youll be expected to define and evolve ML architecture, guide multiple teams, and drive execution excellence across the full ML lifecycle-from experimentation to production. Youll partner closely with AI scientists, product engineers, and business leaders to solve high-impact problems and pioneer new capabilities that advance AI-native platform.
Requirements:
BS, MS, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
8+ years of experience in software or ML engineering, with at least 3+ years at Staff level or equivalent leadership scope.
Proven track record of architecting and delivering production-scale ML systems that impact millions of users.
Expert in ML lifecycle management, feature engineering, and large-scale model deployment.
Strong proficiency in Python and Java
Deep hands-on experience with modern ML frameworks and distributed systems (TensorFlow, PyTorch, Spark, Ray, Kubernetes, MLflow, etc.).
Experience leading cross-functional initiatives spanning multiple product or platform.
Strong background in software engineering fundamentals: algorithms, distributed systems, data pipelines, and performance optimization.
Excellent communication and influence skills, capable of aligning technical direction with organizational strategy.
Familiarity with LLMs, GenAI, and applied responsible AI practices is a strong plus.
BS, MS, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
8+ years of experience in software or ML engineering, with at least 3+ years at Staff level or equivalent leadership scope.
Proven track record of architecting and delivering production-scale ML systems that impact millions of users.
Expert in ML lifecycle management, feature engineering, and large-scale model deployment.
Strong proficiency in Python and Java
Deep hands-on experience with modern ML frameworks and distributed systems (TensorFlow, PyTorch, Spark, Ray, Kubernetes, MLflow, etc.).
Experience leading cross-functional initiatives spanning multiple product or platform.
Strong background in software engineering fundamentals: algorithms, distributed systems, data pipelines, and performance optimization.
Excellent communication and influence skills, capable of aligning technical direction with organizational strategy.
Familiarity with LLMs, GenAI, and applied responsible AI practices is a strong plus.
This position is open to all candidates.
