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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nebula Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

About Us: Nebula Systems is at the forefront of the next generation of artificial intelligence. We are building scalable, ethical, and powerful AI models that will define the landscape of 2024 and beyond. We are looking for a visionary Senior AI/ML Engineer to join our elite engineering team in San Francisco.


The Role: You will be responsible for designing, developing, and deploying state-of-the-art machine learning systems. You will work closely with our data science and product teams to turn complex algorithms into real-world applications that drive business value.


Why Join Us?

  • Competitive salary and equity package.
  • Health, dental, and vision insurance.
  • Flexible remote work options.
  • Continuous learning and development budget.

Responsibilities

  • Architect and implement end-to-end machine learning pipelines, from data ingestion to model deployment.
  • Research and experiment with new deep learning architectures and algorithms to improve model performance.
  • Optimize existing models for speed, scalability, and accuracy on cloud infrastructure.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Collaborate with product managers to define AI-driven features and translate requirements into technical solutions.
  • Monitor model performance in production and implement continuous improvement strategies.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning and software engineering.
  • Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong experience with SQL and NoSQL databases.
  • Experience deploying models to AWS, GCP, or Azure.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning SQL Docker Kubernetes Agile Machine Learning Engineering

Ready to Take This Challenge?

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