Research Data Scientist (AI/LLM)

A7 Recruitment Company; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

A7 Recruitment Company seeks a Research Data Scientist specializing in Artificial Intelligence, Large Language Models (LLMs), and multimodal AI systems to drive cutting‑edge R&D initiatives. The successful candidate will work at the intersection of ML, DL, language tech, CV, speech processing, and generative AI to design, develop, and evaluate next‑generation intelligent systems.

This role suits candidates with strong research backgrounds who are passionate about advancing the state of the art

Qualifications

• AI/LLM: 4+ years experience preferred.
• Multimodal evaluation: 4+ years preferred.
• Research Data Science: 5+ years preferred.

Responsibilities

• Drive cutting-edge research in AI, LLMs, and multimodal systems.
• Design, develop, and evaluate next-generation intelligent systems.
• Publish research and enable real-world deployment of multimodal models.

Skills

Machine Learning

Deep Learning

Python

PyTorch

TensorFlow

JAX

Transformer architectures

Education

Master's (Preferred)

PhD (Preferred)

Tools

Hugging Face

LangChain

LlamaIndex

Vector databases

RAG architectures

Job description

Responsibilities

We are seeking a highly innovative Research Data Scientist specializing in Artificial Intelligence, Large Language Models (LLMs), and Multimodal AI systems to drive cutting‑edge research and development initiatives. The successful candidate will work at the intersection of machine learning, deep learning, language technologies, computer vision, speech processing, and generative AI to design, develop, and evaluate next‑generation intelligent systems.

This role is ideal for candidates with strong research backgrounds who are passionate about advancing the state of the art in AI through experimentation, publication‑quality research, and real‑world deployment of multimodal models

Minimum Requirements

1. Education
   • Bachelor, Master's degree or PhD in: Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, Data Science, Statistics, Mathematics, Related quantitative discipline
2. Technical Skills
   • Strong expertise in Machine Learning and Deep Learning.
   • Hands‑on experience with:
     • Python
     • PyTorch
     • TensorFlow
     • JAX (preferred)
   • Experience with:
     • Hugging Face
     • LangChain
     • LlamaIndex
     • Vector databases
     • RAG architectures
     • Strong understanding of transformer architectures and foundation models.
     • Experience working with large‑scale datasets and distributed training environments.
3. Research Background
   • Demonstrated research experience in at least one of the following specialization areas:
     • Computer Vision, Multimodal AI, and Video Understanding
     • Speech and Audio Processing
     • Computational Linguistics and NLP
     • Generative AI and Agentic Systems
     • Strong publication, patent, or applied research portfolio is highly desirable.
4. Specialization Areas
   • Candidates are encouraged to have expertise in one or more of the following domains:
     • Computer Vision, Multimodal & Video
       1. Vision‑language models
       2. Image and video understanding
       3. Video analytics and reasoning
       4. Cross‑modal learning
     • Speech
       1. Speech recognition (ASR)
       2. Text‑to‑speech (TTS)
       3. Speech understanding
       4. Audio‑language models
     • Linguistics
       1. Computational linguistics
       2. Multilingual NLP
       3. Semantic and discourse analysis
       4. Language resources and evaluation
     • Agentic Systems
       1. AI agents
       2. Tool‑augmented reasoning
       3. Autonomous workflows
       4. Multi‑agent architectures
       5. Planning and orchestration systems

Education:

1. Master's (Preferred)

Experience:

1. AI / LLM: 4 years (Preferred)
2. Multimodal evaluation: 4 years (Preferred)
3. Research Data Science: 5 years (Preferred)