[Hiring] Machine Learning Engineer @Vectara

Role Description

This role involves designing, prototyping, researching, and building AI systems for Vectara.

• Train, evaluate, and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs), and Multimodal Large Models (MLMs).
• Improve the quality of Vectara’s RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior, and hallucination reduction.
• Publish technical blogs, papers, and patents.

Qualifications

• BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.
• 5+/4+ years of experience after BS/MS.
• Strong software engineering basics; experience in writing production code.
• Knowledge of common challenges in training ML models and solutions to them.
• Familiarity with deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), and mixture of experts (MoE).
• Proficiency in data/ML libraries such as pandas, transformers, and torch.
• Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment.
• Ability to collaborate with cross-functional teams.

Requirements

• PhD in Computer Science/Engineering with 1+ years of industry experience (preferred).
• Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author (preferred).
• Experience as an ML engineer in an early-stage, high growth environment (preferred).
• Expertise in the following areas:
• Embedding models, rerankers
• Multimodal retrieval, question answering, and reasoning
• Vector databases, BM25
• Planning and reasoning in LLMs
• Multilinguality in LLMs
• NLG Evaluation such as hallucination detection

Location Requirements

• We support remote applicants from all over the US, but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred.

Benefits

• 100% paid Medical, Dental, Vision begins on your first day!
• Option of Health Savings Account (HSA) or Flexible Savings Account (FSA).
• Generous paid time off (PTO) plus paid sick time, holidays, and company rest days.
• Professional development and training opportunities.
• Company virtual happy hours and fun team building activities.