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Future Tech AI Lead | San Francisco

Quantum Leap Systems
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Welcome to Quantum Leap Systems, where we are architecting the reality of 2026 and beyond. We are seeking a visionary Future Tech AI Lead to spearhead our next-generation research initiatives. In this role, you will define the roadmap for intelligent systems, pushing the boundaries of what is possible in Generative AI, Multimodal learning, and Ethical Automation. If you are passionate about building the infrastructure for tomorrow, we want to hear from you.

Why Join Us?

  • Work on cutting-edge AI models that will define the industry standard for 2026.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a hub in San Francisco.
  • Access to state-of-the-art hardware and research facilities.

Responsibilities

  • Lead the research and development of proprietary Large Language Models (LLMs) and multimodal systems tailored for 2026 market demands.
  • Architect scalable AI infrastructure capable of handling billions of inference requests with zero latency.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer products and enterprise solutions.
  • Establish and enforce best practices for AI ethics, safety, and compliance in a rapidly evolving regulatory landscape.
  • Publish high-impact research papers and contribute to open-source communities to drive thought leadership.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in machine learning, deep learning, or AI research, with at least 3 years in a leadership or senior technical role.
  • Deep expertise in PyTorch, TensorFlow, or JAX with a proven track record of deploying models to production.
  • Extensive experience fine-tuning and optimizing LLMs (e.g., GPT-4, Claude, Llama) for specific domain applications.
  • Strong background in distributed systems, cloud architecture (AWS/GCP), and high-performance computing.
  • Exceptional problem-solving skills and the ability to navigate ambiguity in a fast-paced, futuristic environment.

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch LLMs NLP Generative AI Cloud Computing AWS System Design Leadership AI Ethics CUDA HPC

Ready to Take This Challenge?

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