Job Description
We are looking for a Senior AI Research Engineer to join our elite team in San Francisco. In this pivotal role, you will help architect the technological roadmap for 2026 and beyond, focusing on next-generation Generative AI and autonomous systems.
At Nexus Future Labs, we don't just predict the future; we build it. You will work on high-impact projects that push the boundaries of what is possible in machine learning, optimizing neural architectures for real-world applications.
Key Benefits:
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- Flexible remote and hybrid work options.
- Continuous learning and development budget.
Responsibilities
- Lead the design and implementation of advanced deep learning models for 2026 technology stacks.
- Conduct cutting-edge research to improve model accuracy, efficiency, and scalability.
- Collaborate closely with product managers and engineering teams to translate research into production-ready software.
- Optimize existing algorithms to reduce computational costs and latency.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Stay abreast of the latest industry trends in AI, NLP, and computer vision.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (Ph.D. preferred).
- Minimum of 5 years of professional experience in AI/ML engineering.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of distributed systems and cloud infrastructure (AWS, GCP).
- Experience with Large Language Models (LLMs) and Reinforcement Learning.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, CVPR).