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Senior AI Research Engineer (2026 Roadmap)

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are on the cusp of a revolution. The year 2026 is fast approaching, and Quantum Leap Technologies is at the forefront of defining the next generation of Artificial Intelligence. We are seeking a visionary Senior AI Research Engineer to join our elite R&D division and help architect the roadmap for our flagship 2026 platform.

If you are passionate about pushing the boundaries of what is possible with machine learning, large language models, and generative AI, and you want to be part of a team that shapes the future, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the industry standard for 2026.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with a collaborative San Francisco hub.
  • Access to state-of-the-art computing infrastructure.

Ready to build the future? Apply today.

Responsibilities

  • Lead the architectural design and implementation of next-generation AI models for the 2026 product roadmap.
  • Conduct advanced research in deep learning, natural language processing (NLP), and reinforcement learning.
  • Translate complex research concepts into scalable, production-grade software solutions.
  • Collaborate with product managers and engineering teams to align AI capabilities with business goals.
  • Establish technical best practices, code reviews, and standards for the AI research team.
  • Present technical findings, prototypes, and strategic roadmaps to executive leadership.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, preferably in a research environment.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong background in distributed systems and cloud computing (AWS, GCP, or Azure).
  • Track record of publishing research in top-tier conferences (NeurIPS, ICML, ACL, etc.) or open-source contributions.
  • Experience with MLOps, model deployment, and data pipelines.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing MLOps

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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