AI Research Scientist

Elios Talent; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading AI research firm is seeking an AI Research Scientist to design and evaluate novel AI/ML models. The role involves cutting-edge research, algorithm design, and collaboration with engineering teams. Candidates should have an advanced degree in Computer Science or related field and a strong publication record. This position offers a unique opportunity to shape real-world applications and advance the field of AI.

Qualifications

• Advanced degree (Ph.D. or Master’s) in Computer Science, Machine Learning, Mathematics, or a related field.
• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR, ICLR) is highly preferred.
• Ability to independently design and drive research agendas with business impact.

Responsibilities

• Conduct cutting-edge research in AI, including NLP and reinforcement learning.
• Design and implement novel algorithms.
• Collaborate with engineering teams to translate research into solutions.

Skills

Machine Learning

Deep Learning

Statistical Modeling

Python

Data Processing

Education

Ph.D. or Master’s in Computer Science or related field

Tools

TensorFlow

PyTorch

JAX

Job description

Overview

AI Research Scientist – Design and evaluate novel AI/ML models across foundational and applied domains. Drive innovation in LLMs, deep learning, and reinforcement learning techniques. Collaborate with cross-functional teams to bring research into production. Publish, present, and patent high-impact findings in AI and machine learning.

Responsibilities

• Conduct cutting-edge research in artificial intelligence, including natural language processing, computer vision, generative models, and reinforcement learning
• Design and implement novel algorithms and model architectures for experimentation and deployment
• Analyze large-scale datasets to extract insights, train models, and validate hypotheses
• Collaborate with engineering teams to translate research into scalable solutions and production-ready systems
• Stay current with the latest literature and contribute to the AI research community through papers, presentations, or patents
• Build and evaluate proof-of-concept systems and prototypes for real-world application
• Mentor junior researchers and data scientists in scientific rigor, model development, and experimentation
• Support internal IP development and contribute to strategic technical roadmaps

Qualifications

• Advanced degree (Ph.D. or Master’s) in Computer Science, Machine Learning, Mathematics, or a related field
• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR, ICLR) is highly preferred
• Expertise in machine learning, deep learning, or statistical modeling
• Experience with model development using TensorFlow, PyTorch, JAX, or similar frameworks
• Proficiency in Python and familiarity with large-scale data processing
• Solid understanding of model evaluation, optimization techniques, and deployment workflows
• Ability to independently design and drive research agendas with business impact

Join a world-class team of scientists and engineers pushing the boundaries of what’s possible with AI. Your research will not only advance the field—it will shape real-world applications across industries.