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Senior AI Research Engineer (2026 Visionary)

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Quantum Horizon Labs is pioneering the technological landscape for 2026 and beyond. We are looking for a visionary Senior AI Research Engineer to join our elite R&D division. In this role, you will not just use existing tools; you will help architect the next generation of artificial intelligence systems. You will define the roadmap for our flagship AI product, ensuring scalability, efficiency, and ethical standards.

Our Culture:

We value autonomy, intellectual curiosity, and impact. Our team works in a dynamic environment that blends deep research with rapid prototyping.

Key Highlights:

  • Work on projects that redefine industry standards.
  • Top-tier compensation and equity opportunities.
  • Access to state-of-the-art computing infrastructure.

Are you ready to build the future? Apply today.

Responsibilities

  • Lead the design and implementation of advanced machine learning models tailored for 2026 scalability requirements.
  • Drive the research agenda for Natural Language Processing (NLP) and generative AI applications.
  • Collaborate with product teams to translate complex research findings into deployable software solutions.
  • Mentor a team of data scientists and engineers, fostering a culture of technical excellence.
  • Evaluate and integrate new libraries and frameworks to stay ahead of the AI curve.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of experience in research engineering or applied machine learning.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed computing systems (e.g., Kubernetes, AWS, GCP).
  • Track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or open-source contributions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS Kubernetes Distributed Systems

Ready to Take This Challenge?

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

Apply Now

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