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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nebula AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to engineer the future? Nebula AI Solutions is looking for a visionary Senior AI/ML Engineer to join our elite team in San Francisco. In 2026, the boundaries of artificial intelligence are being rewritten, and we need a technical leader to help define the next generation of generative models and autonomous systems.

As a Senior Engineer, you won't just maintain existing pipelines; you will architect scalable infrastructure for Large Language Models (LLMs) and deploy them in production environments that power millions of interactions daily.

Why Join Us?

  • Work on cutting-edge technology that defines the 2026 landscape.
  • Competitive salary and equity packages.
  • Flexible remote-first culture with premium office amenities in SF.

Responsibilities

  • Architect and deploy robust machine learning pipelines and production-grade LLM infrastructure.
  • Conduct research to improve model accuracy, latency, and efficiency (inference optimization).
  • Collaborate with cross-functional teams of data scientists, product managers, and engineers.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Implement best practices for data privacy, ethics, and security in AI systems.
  • Drive A/B testing and performance monitoring to optimize user engagement.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning, AI, or Deep Learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, and C++.
  • Deep understanding of NLP, Transformers, and LLM fine-tuning techniques (LoRA, PEFT).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS Docker Kubernetes

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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