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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer - 2026 Vision

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join the Architects of Tomorrow.

We are Nebula Systems, a pioneer in predictive intelligence. As we approach the pivotal year 2026, we are seeking a visionary Senior AI Research Engineer to lead our cutting-edge initiatives. You will not just use existing tools; you will help define the technology stack for the next generation of human-machine interaction.

In this role, you will operate at the intersection of generative AI, quantum computing, and autonomous systems. If you are driven by the challenge of solving complex problems that don't have answers yet, we want to meet you.

Responsibilities

  • Lead Research Strategy: Define and execute the technical roadmap for AI models aimed at the 2026 commercial release cycle.
  • Architect Scalable Systems: Design robust, fault-tolerant infrastructure capable of handling high-frequency data streams in real-time.
  • Prototype Innovation: Build and iterate on experimental algorithms, pushing the boundaries of deep learning and natural language processing.
  • Cross-Functional Leadership: Collaborate with product managers, designers, and data scientists to translate theoretical research into market-ready products.
  • Mentorship: Guide a team of junior engineers and researchers, fostering a culture of continuous learning and innovation.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: 5+ years of professional experience in AI/ML, with a proven track record of publications or patentable innovations.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Spark, Kubernetes).
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and derive mathematical solutions.
  • Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems AI Research Leadership

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