樱花动漫

Job Overview

Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting-edge technology.

聽If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.

聽You will collaborate with many teams in 樱花动漫 and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.

聽In this role, you鈥檒l:

• Be part of a vibrant team of Data Scientists and ML Engineers
• Be expected to help code, optimize, and deploy GenAI models at scale, using the latest industry tools and techniques
• Help automate, deliver, monitor, and improve GenAI solutions

#LI-Hybrid

Responsibilities

• Design and build systems, which improve Generative AI inference, quantization, optimization, finetuning, and evaluation
• Work cross-functionally with product managers, data scientists, and engineers to understand, implement, re铿乶e, and design Generative AI models
• Effectively communicate results to peers and leaders
• Explore the state-of-the-art technologies and apply them to deliver customer bene铿乼s.
• Interact with a variety of data sources, working closely with peers and partners to re铿乶e features from the underlying data and build end-to-end pipelines

Qualifications

• LLM experience: LangChain, vLLM, HuggingFace toolkit
• Machine Learning oriented languages, tools, and frameworks: Spark, Python
• Cloud technologies, in particular AWS, and Software container technology: Docker, Kubernetes, KubeFlow / MLflow
• Experience with designing and developing Generative AI architectures
• Machine learning techniques (classi铿乧ation, regression, and clustering) and principles (training, validation, and testing)
• Data query and data processing tools or systems: relational, NoSQL, stream processing
• Distributed computing systems and related technologies: Spark, Hive
• Software engineering fundamentals: version control systems (Git, Github) and work铿俹ws, and ability to write production-ready code
• Computer science fundamentals: data structures, algorithms, performance, complexity, and implications of computer architecture on software performance (I/O and memory tuning)
• Mathematics fundamentals: linear algebra, calculus, probability
• BS, MS, or PhD degree in Computer Science or related 铿乪ld, or equivalent practical experience