Job Description
Are you ready to define the future of intelligent systems? Aether 2026 is a leading pioneer in autonomous AI and next-generation neural architectures. We are looking for a visionary Senior AI Research Scientist to join our elite San Francisco team and push the boundaries of what is possible in machine learning.
In this pivotal role, you will lead the research and development of cutting-edge algorithms that power our flagship products. You will work in a fast-paced, collaborative environment alongside world-class engineers and data scientists. If you are passionate about solving complex problems and shaping the technological landscape of tomorrow, we want to hear from you.
Why Join Aether 2026?
- Work on projects that redefine industry standards.
- Competitive compensation and equity packages.
- Access to state-of-the-art hardware and cloud infrastructure.
- Flexible remote and hybrid work options.
Responsibilities
- Lead the research, design, and implementation of advanced deep learning models, specifically focusing on Generative AI and Large Language Models.
- Collaborate with cross-functional teams to translate theoretical research into scalable production solutions.
- Optimize existing neural architectures for improved inference speed and accuracy on edge devices.
- Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
- Stay abreast of the latest academic papers and industry trends to integrate novel techniques into our product suite.
- Conduct rigorous experimentation and statistical analysis to validate model performance and reliability.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field.
- Minimum of 5 years of professional experience in research or applied machine learning.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Proven track record of publishing in top-tier conferences (e.g., NeurIPS, ICML, ACL) or contributing to open-source ML libraries.
- Excellent problem-solving skills and the ability to thrive in a dynamic, high-growth startup environment.