About
Adobe is a company focused on changing the world through digital experiences. They are seeking a Senior Machine Learning Engineer to design, build, and scale AI platforms that enhance customer experiences and marketing campaigns.
Responsibilities : • Design and development of state-of-the-art agentic AI system and platform powered by generative AI, including working on engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices, delivering high quality, production ready code. • Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration. • Partner with researchers and applied scientists on productization of innovations • Engage in the product lifecycle, design, deployment, and production operations.
Qualifications : Required : • PhD or MS degree in Computer Science or related field required. • 5+ years of experience in machine learning, including production-scale deployments • Experience with agile development, and short release cycles • Good understanding of statistical modeling, machine learning, or analytics concepts; ability to quickly learn new skills and work in a fast-paced team. • Proficient in one or more programming languages such as Python and Java. Familiarity with cloud development on Azure/AWS. • Experience using Relational (MySQL, Postgres) and NoSQL datastores (Redis, ElasticSearch, Snowflake) along with data access patterns and strategies • Experience working with at least one deep learning framework such as TensorFlow or PyTorch. • Experience with LLMs including prompt/context-engineering, modern LLM APIs, fine-tuning models etc. • Experience working with both research and product teams. • Excellent problem-solving and analytic skills • Excellent communication and relationship building skills.
Company :
Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
Languages
- English
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