Job Description
Shape the Future of Intelligence.
Nexus Future Systems is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary 2026 AI Research Lead to spearhead our next-generation artificial intelligence initiatives. In this pivotal role, you will bridge the gap between theoretical research and practical application, developing scalable AI architectures that define the next decade of technology.
You will work in a collaborative, high-performance environment alongside world-class engineers and data scientists. If you are passionate about pushing the boundaries of what is possible and have a deep understanding of emerging AI paradigms, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that will define the future of the industry.
- Competitive compensation and equity package.
- Flexible remote and hybrid work options.
- Access to state-of-the-art computing infrastructure.
Responsibilities
- Lead the research and development of proprietary AI models tailored for the 2026 technological landscape, including generative AI and predictive analytics.
- Design and implement scalable machine learning pipelines and infrastructure using cloud-native technologies.
- Mentor and guide a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Collaborate with cross-functional product teams to translate complex research into market-ready features.
- Stay at the forefront of the industry by conducting literature reviews and benchmarking against the latest global AI advancements.
- Evaluate and integrate novel algorithms to improve system performance, accuracy, and efficiency.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5-7 years of experience in AI/ML research, with at least 2 years in a leadership or senior technical role.
- Strong proficiency in Python, PyTorch, or TensorFlow, with deep experience in deep learning frameworks.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or open-source contributions.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Demonstrated ability to work independently in a fast-paced, agile environment.