Machine Learning Engineer
Vectara
full-time
Posted on:
Location Type: Hybrid
Location: United States
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About the role
- Design, prototype, research and build 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 Language Model (MMLLMs).
- Improve the quality of Vectara’s AI Agents and RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction.
- Publish technical blogs, papers, and patents.
Requirements
- BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.
- 5+/4+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.
- Strong domain knowledge in at least one of the following: RAG, LLM, information retrieval, Multimodal LLMs.
- Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas, transformers, and torch.
- Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE).
- Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment.
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 and more.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningnatural language processinginformation retrievallarge language modelsmultimodal large language modelsPythonpandastransformerstorchdeep learning
Soft Skills
researchdesignprototypingevaluationdeploymentpublishing
Certifications
BS in Computer ScienceMS in Computer ScienceBS in StatisticsMS in StatisticsBS in Electrical EngineeringMS in Electrical EngineeringBS in MathematicsMS in Mathematics