Job Description
We are looking for a visionary Senior AI Research Engineer to join our elite team in San Francisco. As we look toward 2026, our mission is to pioneer the next generation of Artificial General Intelligence (AGI) systems that seamlessly integrate with quantum computing architectures. You will be at the forefront of defining how machines learn, reason, and interact in complex, dynamic environments.
Why Join Us?
We offer a competitive salary, equity package, and the opportunity to work on projects that will define the technological landscape of the decade. Our culture prioritizes autonomy, deep work, and radical transparency.
Responsibilities
- Architect Neural Architectures: Design and implement cutting-edge deep learning models optimized for 2026 computational standards.
- Quantum Integration: Collaborate with quantum physicists to hybridize classical neural networks with quantum algorithms.
- Research Publication: Lead research initiatives and publish high-impact papers at top-tier conferences (NeurIPS, ICML, ICLR).
- System Optimization: Reduce model inference latency and improve energy efficiency by 40% or more.
- Team Mentorship: Mentor junior researchers and engineers, fostering a culture of continuous learning and technical excellence.
- Rapid Prototyping: Build and iterate on Proof of Concepts (PoCs) for novel AI applications in real-time.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of experience in research or industry roles focusing on Machine Learning and Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; strong knowledge of NLP, Computer Vision, or Reinforcement Learning.
- Publications: A track record of peer-reviewed publications in top AI journals or conferences.
- Problem Solving: Ability to tackle ambiguous problems and derive data-driven solutions.
- Communication: Excellent written and verbal communication skills for technical documentation and stakeholder updates.