Job Description
Are you ready to shape the trajectory of humanity in the year 2026? Nexus Future Labs is seeking a visionary AI Research Engineer to lead the development of next-generation artificial intelligence systems. We are not just building software; we are architecting the cognitive infrastructure of tomorrow.
In this role, you will work at the bleeding edge of machine learning, quantum computing integration, and neural architecture design. You will be part of a high-performance team dedicated to solving the world's most complex computational problems.
Why Join Us?
- Work on groundbreaking projects that define the future.
- Competitive equity package and top-tier compensation.
- Flexible remote-first policy with access to state-of-the-art facilities in San Francisco.
If you are obsessed with pushing the boundaries of what is possible in AI, we want to hear from you.
Responsibilities
- Design and implement cutting-edge machine learning algorithms and neural networks optimized for high-performance computing environments.
- Conduct rigorous research to advance the field of AI, publishing findings in top-tier academic conferences and journals.
- Collaborate with cross-functional teams of quantum physicists and software engineers to integrate quantum algorithms into classical ML pipelines.
- Optimize existing models for latency, accuracy, and resource efficiency in production environments.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Analyze complex datasets to identify trends and derive actionable insights for product development.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field with a focus on AI/ML.
- 3-5+ years of experience in machine learning, deep learning, or natural language processing.
- Strong proficiency in Python, PyTorch, TensorFlow, and C++.
- Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
- Proven track record of publishing research or deploying scalable ML models.
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.