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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Shape the Future of Intelligence

Nebula Dynamics is at the forefront of technological innovation, building the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to join our elite research team. In this role, you will architect scalable machine learning systems and deploy cutting-edge generative AI models that redefine user experiences.

We are looking for a technical leader who thrives in a fast-paced environment and is passionate about solving complex problems with data. You will have the autonomy to design new algorithms and the responsibility to mentor the next generation of engineers.

What You Will Do:

  • Design and deploy scalable machine learning models and data pipelines.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Optimize existing models for high-performance inference and reduced latency.
  • Mentor junior engineers and conduct rigorous code reviews.
  • Stay ahead of industry trends in Deep Learning and Large Language Models.

Qualifications:

  • 5+ years of experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and cloud architecture (AWS/GCP).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow).
  • BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.

Benefits:

  • Competitive salary and equity package.
  • Flexible remote-first policy with a SF office hub.
  • Comprehensive health, dental, and vision insurance.
  • Continuous learning and development budget.

Responsibilities

  • Design and deploy scalable machine learning models and data pipelines.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Optimize existing models for high-performance inference and reduced latency.
  • Mentor junior engineers and conduct rigorous code reviews.
  • Stay ahead of industry trends in Deep Learning and Large Language Models.

Qualifications

  • 5+ years of experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and cloud architecture (AWS/GCP).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow).
  • BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.

Required Skills

Python PyTorch TensorFlow AWS Docker Kubernetes Machine Learning Deep Learning MLOps SQL NLP

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