Join Vectara as a Machine Learning Engineer
Vectara is on a mission to provide a scalable platform for neural information retrieval, helping our customers build advanced language understanding into the next generation of software systems. Our stellar team includes experts in neural IR, distributed database systems, and search platforms from organizations including Google, Google Research, Elasticsearch, Databricks, and Twilio.
About the Role
This position is with Vectara's machine learning team. As a Machine Learning Engineer, you will be working on language understanding with deep neural methods. You will be part of a collaborative team setting, contributing to the development of advanced machine learning models and systems.
Key Responsibilities
- Design and implement multimodal and multilingual models.
- Develop dual-encoder models, transformer-based rerankers, or LLMs for information retrieval.
- Utilize major deep learning toolkits like PyTorch or JAX.
- Design and develop online learning systems.
- Apply neural approaches to open domain QA and zero-shot IR.
- Work with both sparse and dense IR methods.
Ideal Candidate
- Passionate about language understanding and deep neural methods.
- Industry expertise or recent graduate studies in relevant fields.
- Experience with machine learning techniques, including deep learning.
- Familiarity with vector databases and performance measurement techniques is a plus.
Work Environment
While we support working from home, you should be open to the idea of working as a team in our office in Palo Alto, California three days a week. This hybrid work model allows for flexibility while fostering team collaboration.
Why Vectara?
- Be part of a cutting-edge team working on the future of information retrieval.
- Collaborate with industry leaders and experts.
- Work in a dynamic and innovative environment in Silicon Valley.
Come help us build the future of information retrieval!
Benefits Extracted with AI
- Collaborative team environment
- Opportunity to work in Silicon Valley
- Flexible work arrangements
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