Job Description
We are building the future of artificial intelligence, and we need a visionary AI Architect to lead our Project 2026 initiative. As a key member of our R&D team, you will be responsible for designing and deploying next-generation autonomous agents and generative models that will define the landscape of technology in 2026 and beyond.
In this high-impact role, you will bridge the gap between cutting-edge research and scalable production engineering. You will work with a world-class team of data scientists and engineers to solve complex problems in large language models, computer vision, and reinforcement learning.
Why Join Us?
- Work on projects that are shaping the trajectory of AI for the next decade.
- Competitive compensation package with equity options.
- Flexible remote-first culture with access to top-tier hardware.
Responsibilities
- Architectural Design: Design and implement scalable, fault-tolerant machine learning infrastructure capable of handling petabyte-scale data processing.
- Model Optimization: Lead efforts to optimize model inference latency and accuracy, focusing on on-device and edge deployment strategies.
- Research Integration: Translate theoretical research breakthroughs into production-ready code and API endpoints.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Technical Strategy: Define the technical roadmap for Project 2026, ensuring alignment with business goals and industry standards.
- Collaboration: Partner with product managers and stakeholders to define AI requirements and deliver high-impact solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 5+ years of experience in machine learning engineering or applied AI research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX; extensive experience with distributed training systems.
- Knowledge: Deep understanding of NLP, LLMs, or Generative AI architectures.
- Soft Skills: Strong problem-solving skills, excellent communication abilities, and a passion for pushing the boundaries of technology.