Job Description
Join the Visionaries Shaping the Future
Nexus Future Labs is at the forefront of artificial intelligence, pushing the boundaries of what is possible. As we accelerate toward our 2026 strategic rollout, we are seeking a visionary Senior AI Research Engineer to lead our cutting-edge projects. If you are passionate about developing the next generation of generative models and autonomous systems, this is your opportunity to make a tangible impact.
Based in the heart of San Francisco, you will work in a dynamic environment that fosters innovation and technical excellence. We are looking for a thought leader who can bridge the gap between theoretical research and practical application.
Responsibilities
- Lead the 2026 AI Roadmap: Define and execute the technical vision for our flagship AI products, ensuring alignment with company goals.
- Advanced Research: Conduct high-level research in machine learning, deep learning, and natural language processing to solve complex industry problems.
- Model Development: Design, train, and deploy scalable machine learning models with a focus on efficiency and accuracy.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate research findings into market-ready solutions.
- Mentorship: Guide a team of junior researchers and engineers, fostering a culture of continuous learning and technical growth.
- Publishing: Author technical papers and contribute to open-source communities to establish thought leadership in the AI space.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: Minimum of 5+ years of experience in AI/ML research and development, with a proven track record of published work.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with large language models (LLMs).
- Strategic Thinking: Ability to think long-term (2026 vision) while delivering immediate, high-quality results.
- Communication: Excellent written and verbal communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
- Problem Solving: Strong analytical skills with a focus on optimizing algorithms for real-world deployment.