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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems? Nebula Dynamics is seeking a visionary Senior Artificial Intelligence Engineer to join our elite R&D team. We are pushing the boundaries of what is possible in machine learning and generative AI, and we need a technical leader to drive innovation.

As part of our core engineering squad, you will be responsible for designing, training, and deploying state-of-the-art neural networks that power our global platform. If you thrive in a fast-paced, high-impact environment and are passionate about solving complex problems with code, we want to meet you.

Why join us?

  • Work with the latest hardware and software stacks.
  • Competitive equity package and remote-first flexibility.
  • Continuous learning budget and access to top-tier conferences.

Responsibilities

  • Model Architecture: Design, implement, and optimize deep learning models for large-scale production environments.
  • Research & Development: Stay at the cutting edge of AI research, implementing novel architectures and techniques to improve system performance.
  • Deployment: Migrate models from research prototypes to scalable, real-time inference pipelines using cloud-native tools.
  • Collaboration: Partner with data scientists, product managers, and software engineers to translate business requirements into technical solutions.
  • Mentorship: Guide junior engineers and interns, fostering a culture of technical excellence and innovation.
  • Optimization: Conduct rigorous testing and profiling to ensure low latency and high throughput in AI services.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering or research.
  • Programming: Expert-level proficiency in Python and C++.
  • Frameworks: Deep understanding of PyTorch, TensorFlow, or JAX.
  • Cloud: Strong experience deploying models on AWS, GCP, or Azure.
  • Mathematics: Solid grasp of linear algebra, calculus, and probability statistics.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Docker Kubernetes NLP Computer Vision

Ready to Take This Challenge?

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