Job Description
Shape the Future of Technology with Nexus Horizon Systems
We are at the forefront of the 2026 technological revolution. As a leader in next-generation AI and autonomous systems, we are seeking a visionary Senior AI Research Scientist to drive innovation and define the roadmap for our upcoming products. If you are passionate about pushing the boundaries of what is possible in machine learning and are looking for a role that defines the future of the industry, we want to meet you.
Why Join Us?
- Work on cutting-edge projects that will define the AI landscape of 2026.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a vibrant office in downtown Austin.
- Access to state-of-the-art computing infrastructure and research grants.
Key Responsibilities
- Lead the research and development of advanced machine learning models, specifically focusing on LLMs and predictive analytics for the 2026 timeframe.
- Design and implement scalable algorithms to solve complex real-world problems in autonomous decision-making.
- Collaborate with cross-functional teams of engineers, product managers, and ethicists to ensure responsible AI deployment.
- Publish high-impact research papers and contribute to open-source communities to establish thought leadership.
- Conduct rigorous testing and validation of AI systems to ensure robustness and safety standards.
- Mentor junior data scientists and researchers, fostering a culture of continuous learning and innovation.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of professional experience in applied machine learning, deep learning, or artificial intelligence.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or having significant industry patents.
- Experience with NLP, Computer Vision, or Reinforcement Learning.
- Deep understanding of MLOps and model deployment pipelines.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.
Skills
Python, PyTorch, TensorFlow, Machine Learning, Deep Learning, NLP, Computer Vision, MLOps, Data Science, AI Ethics, Agile, Scrum.
Responsibilities
- Lead the research and development of advanced machine learning models, specifically focusing on LLMs and predictive analytics for the 2026 timeframe.
- Design and implement scalable algorithms to solve complex real-world problems in autonomous decision-making.
- Collaborate with cross-functional teams of engineers, product managers, and ethicists to ensure responsible AI deployment.
- Conduct rigorous testing and validation of AI systems to ensure robustness and safety standards.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of professional experience in applied machine learning, deep learning, or artificial intelligence.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or having significant industry patents.
- Experience with NLP, Computer Vision, or Reinforcement Learning.
- Deep understanding of MLOps and model deployment pipelines.