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Senior AI Research Engineer (2026 Horizon)

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to shape the future of technology? Quantum Leap Technologies is pioneering the next generation of Artificial Intelligence with our ambitious 2026 Horizon initiative. We are seeking a visionary Senior AI Research Engineer to lead our efforts in developing scalable, efficient, and ethical AI systems that will define the industry standard for the coming years.

As part of our elite engineering team, you will work on cutting-edge projects ranging from Generative Adversarial Networks (GANs) to Large Language Model (LLM) optimization. If you are driven by the challenge of solving complex problems and want to leave a lasting impact on the tech landscape, this is your opportunity to lead.

Responsibilities

  • Lead the architectural design and implementation of proprietary AI models aligned with the 2026 strategic roadmap.
  • Conduct cutting-edge research in Deep Learning and Reinforcement Learning to improve model accuracy and efficiency.
  • Collaborate cross-functionally with product managers, data scientists, and engineers to translate business requirements into technical solutions.
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Optimize existing algorithms for deployment on high-scale distributed systems.
  • Stay abreast of the latest advancements in the AI field to ensure our technology remains at the forefront.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, AI, or Data Science.
  • Proficient in Python, TensorFlow, PyTorch, and scikit-learn.
  • Strong understanding of neural network architectures, NLP, and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Deep Learning NLP Machine Learning AWS Docker Agile Data Science

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