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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nebula Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are pioneering the next generation of artificial intelligence, ready to deploy in 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. You will be at the forefront of innovation, building scalable models that redefine human-computer interaction and drive the future of our platform.

Why Join Nebula Dynamics?

As a leader in next-gen technology, we offer a competitive package, stock options, and the opportunity to work on cutting-edge projects that matter. We value autonomy, creativity, and technical excellence.

Responsibilities

  • Design, train, and deploy advanced machine learning models to solve complex business problems.
  • Collaborate with cross-functional teams of engineers, product managers, and researchers to define and deliver AI-driven solutions.
  • Optimize and scale existing algorithms for production environments, ensuring high performance and low latency.
  • Stay abreast of the latest research in AI and Natural Language Processing to integrate novel techniques into our stack.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical growth.
  • Implement robust data pipelines and ensure data quality for training datasets.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in machine learning engineering.
  • Strong proficiency in Python, TensorFlow, PyTorch, or JAX.
  • Deep understanding of deep learning 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 communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS Docker Kubernetes Data Engineering

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