Job Description
At Nexus Future Labs, we are not just building software; we are architecting the intelligence that will define the next decade. We are seeking a visionary Senior AI Research Scientist to lead our advanced initiatives, specifically targeting the breakthroughs required for the year 2026 and beyond.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will work in a high-performance environment focused on autonomous agents, generative models, and ethical AI frameworks. If you are passionate about the long-term trajectory of artificial intelligence and want to leave a lasting impact on the industry, we want to hear from you.
Why Join Us?
- Work with state-of-the-art hardware and cloud infrastructure.
- Competitive compensation package including equity options.
- Flexible remote-first culture with opportunities for in-person collaboration.
- Focus on meaningful work that addresses global challenges through technology.
Responsibilities
- Lead the research and development of next-generation Artificial Intelligence models, with a focus on scalability and efficiency for the 2026 market.
- Design and implement novel algorithms in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Collaborate with cross-functional engineering and product teams to translate theoretical research into deployable products.
- Conduct rigorous experimentation, data analysis, and performance benchmarking to ensure model accuracy and robustness.
- Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Stay abreast of the latest academic papers and industry trends to maintain a competitive edge in the rapidly evolving AI landscape.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Minimum of 5 years of professional experience in AI research, machine learning engineering, or a similar technical role.
- Proven expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong programming skills in Python, including experience with distributed computing systems (e.g., Kubernetes, Spark).
- Demonstrated ability to publish research in top-tier conferences (NeurIPS, ICML, ICLR) or patentable inventions.
- Excellent problem-solving skills and the ability to work independently in a fast-paced, ambiguous environment.