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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nebula Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you a visionary engineer ready to define the next generation of artificial intelligence?

At Nebula Dynamics, we are not just building models; we are architecting the intelligence of tomorrow. We are seeking a Senior AI/ML Engineer to join our elite technical team in San Francisco. In this pivotal role, you will spearhead the development of cutting-edge Generative AI and Large Language Model (LLM) solutions that power our global platforms.

You will work in a high-velocity environment where your code directly impacts millions of users. We value deep technical expertise, creativity, and a relentless drive to push the boundaries of what's possible in AI.

Responsibilities

  • Architect and implement scalable Machine Learning pipelines and infrastructure using Python and modern cloud-native technologies.
  • Research, design, and fine-tune state-of-the-art Deep Learning models, with a focus on NLP and Computer Vision.
  • Optimize model inference performance and reduce latency for real-time applications.
  • Collaborate closely with cross-functional teams of data scientists, product managers, and engineers to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to maintain high standards of technical excellence.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in software engineering or machine learning engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
  • Deep understanding of machine learning algorithms, statistical analysis, and data structures.
  • Experience deploying models to production environments (e.g., AWS, GCP, Azure) using Kubernetes or Docker.
  • Excellent problem-solving skills and the ability to work independently in a fast-paced agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS Kubernetes NLP SQL Agile Cloud Computing

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