Job Description
Join the Architects of the Future
We are seeking a visionary Senior AI Research Engineer to join Nexus Future Systems, a pioneering organization at the forefront of Artificial General Intelligence (AGI). In this pivotal role, you will not just adapt to the future of technology; you will define it. We are building the cognitive infrastructure that will power the digital landscape of 2026 and beyond.
Why This Role?
- Impactful Work: Spearhead the development of next-generation neural architectures that push the boundaries of machine reasoning.
- Future-Proof: Be part of a team that is setting the standard for the tech industry in the coming decade.
- Top-Tier Compensation: Competitive salary plus significant equity opportunities.
Key Responsibilities
- Design, train, and deploy scalable machine learning models with a specific focus on generative AI and large language models (LLMs).
- Conduct cutting-edge research to improve model efficiency, accuracy, and ethical alignment.
- Collaborate with cross-functional teams of data scientists, engineers, and ethicists to translate research into production-ready solutions.
- Establish rigorous benchmarks and performance metrics for AI systems.
- Mentor junior researchers and contribute to a culture of innovation and continuous learning.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of experience in machine learning research and software engineering.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong foundation in linear algebra, calculus, and probability theory.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
Responsibilities
- Design, train, and deploy scalable machine learning models with a specific focus on generative AI and large language models (LLMs).
- Conduct cutting-edge research to improve model efficiency, accuracy, and ethical alignment.
- Collaborate with cross-functional teams of data scientists, engineers, and ethicists to translate research into production-ready solutions.
- Establish rigorous benchmarks and performance metrics for AI systems.
- Mentor junior researchers and contribute to a culture of innovation and continuous learning.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of experience in machine learning research and software engineering.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong foundation in linear algebra, calculus, and probability theory.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).