A profitable AI startup is hiring a Machine Learning Researcher to shape the next generation of AI systems. This role offers the opportunity to conduct cutting-edge research in large language models (LLMs) and reinforcement learning in post-training environments, with direct impact on enterprise AI products.
Requirements
- Track record of publications in leading ML/AI conferences and journals
- Strong background in machine learning, deep learning, or probabilistic modeling
- Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX)
- Solid understanding of data structures, algorithms, and software engineering practices
Responsibilities
- Conduct original research in machine learning, deep learning, and related areas
- Design and implement novel ML algorithms with a focus on scalability, robustness, and efficiency
- Publish research in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR)
- Collaborate with cross-functional teams and enterprise clients to bring research into production
- Stay ahead of the latest developments in AI/ML and proactively identify opportunities for innovation
- Mentor junior researchers or engineers as needed
Other
- PhD or Master’s in Computer Science, Machine Learning, Applied Mathematics, or a related field (or equivalent industry experience)
- Create direct impact and influence the organization
- Paid Time Off
