Senior ML Engineer
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Requirements:
- BS/MS in Computer Science Statistics Electrical/Computer Engineering Mathematics or a related field.
- 5 years of experience after BS/MS.
- Strong software engineering fundamentals.
- Basic knowledge of training and evaluating ML models.
- Familiarity with deep learning concepts such as Transformers Retrieval-Augmented Generation (RAG) and Mixture of Experts (MoE).
- Proficiency with data/ML libraries such as pandas transformers and torch.
- Hands-on experience training ML systems end-to-end from data curation to evaluation and deployment.
- Knowledge of state-of-the-art open-source models for tasks such as retrieval reranking and multimodal LLMs.
- Ability to collaborate effectively with cross-functional teams.
- PhD in Computer Science/Engineering with 1 years of industry experience.
- Publications in top-tier venues such as ACL NAACL EMNLP NeurIPS ICML or ICLR as a key author.
- Experience as an ML engineer in an early-stage high-growth environment.
- Expertise includes embedding models rerankers multimodal retrieval question answering reasoning vector databases and BM25.
- Skilled in planning and reasoning in LLMs multilinguality in LLMs and NLG evaluation including hallucination detection.
Responsibilities:
- Design prototype research and build AI systems for the Company.
- Train evaluate and deploy ML models in Natural Language Processing Information Retrieval AI Agents Large Language Models (LLMs) and Multimodal Large Models (MLMs).
- Improve the quality of the Companys AI Agents and RAG-as-a-service platform including features such as agentic behavior hallucination reduction/correction and agent orchestration.
- Publish technical blogs research papers and patents.
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
