AI Research Scientist

About This Role

Design and execute machine learning experiments, stay updated with AI research, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols and collaborate with cross-functional teams to integrate research into production systems.

Responsibilities

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems
• Contribute to academic publications and represent the company in research communities, as needed

Requirements

• 3-5 years of experience in AI/ML research roles
• Demonstrated success in delivering research-driven solutions deployed in production
• Experience collaborating in cross-functional teams
• Strong foundational knowledge in machine learning and deep learning algorithms
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO)
• Ability to read, implement, and adapt state-of-the-art research papers
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations
• Advanced programming skills in Python, C++, or Java
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy
• Strong mathematical foundations in probability, linear algebra, and calculus
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing

Qualifications

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Master's with exceptional experience considered)
• 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments

Nice to Have

• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR)

Skills

* Required skills