We are looking for a researcher/engineer with deep expertise in large language models (LLMs), reasoning, and multimodal AI. You will help design and develop methods that enable intelligent systems to make robust, explainable, and context-aware decisions.
Requirements
- Proficiency in Python and modern deep learning frameworks (PyTorch, or TensorFlow)
- Strong foundations in machine learning and reasoning algorithms
- Experience with scaling and optimizing LLMs for efficiency (e.g., distillation, quantization, inference optimization)
- Excellent problem-solving and collaboration skills
- A strong background in transformer-based models and LLMs
- Hands-on experience with multimodal ML (e.g., vision-language, text + spatiotemporal data)
- Solid understanding of probabilistic methods, uncertainty modeling, or decision-making under uncertainty
- Proven ability to translate research into practical implementations
Benefits
- Premium Healthcare Benefits
- Basic Life/AD&D, short and long-term disability insurance plans
- Extremely generous company holiday calendar
- Competitive paid time off (PTO)
- A minimum of 7 weeks fully paid parental leave
- A $9k annual tuition reimbursement or professional development stipend
- 401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%