Job Description
We are seeking a visionary Lead AI Research Engineer to architect the next generation of intelligent systems. As we prepare for the technological paradigm shift of 2026, you will be at the forefront of defining our roadmap, pushing the boundaries of generative AI, and building scalable infrastructure that powers the future.
Why Join Us?
We are a fast-paced, elite engineering team focused on solving humanity's hardest problems. You will have the autonomy to experiment, the resources to build, and the impact to change the world.
Responsibilities
- Define Technical Roadmap: Lead the strategic vision for AI capabilities aimed at the 2026 release cycle, aligning research with business objectives.
- Architect Scalable Systems: Design and implement robust, distributed machine learning pipelines capable of handling petabyte-scale data.
- Pioneering Research: Conduct cutting-edge research in Large Language Models (LLMs), reinforcement learning, and multimodal AI to drive innovation.
- Talent Development: Mentor a high-performing team of researchers and engineers, fostering a culture of excellence and continuous learning.
- Cross-Functional Collaboration: Partner with product management and engineering to translate complex research into deployable products.
- Performance Optimization: Continuously optimize model latency, accuracy, and efficiency to ensure real-time user experiences.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: Minimum 5+ years of experience in machine learning research and software engineering.
- Technical Proficiency: Deep expertise in Python, PyTorch, or TensorFlow; experience with Hugging Face Transformers and LangChain.
- Leadership: Proven track record of leading technical teams and managing complex projects from conception to deployment.
- Problem Solving: Strong analytical skills with a demonstrated ability to tackle ambiguous, high-impact problems.
- Communication: Excellent verbal and written communication skills for technical and non-technical stakeholders.