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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nebula Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are looking for a visionary Senior AI/ML Engineer to join our elite team in San Francisco. As we prepare for the technological landscape of 2026 and beyond, we need a builder who can architect the future of generative intelligence and automated decision-making systems.

In this role, you will bridge the gap between theoretical research and production-grade engineering, deploying models that scale globally. If you are passionate about the intersection of deep learning and real-world impact, this is your opportunity to shape the next decade of technology.

Responsibilities

  • Design, train, and deploy advanced machine learning models, including LLMs and computer vision systems, optimized for high-throughput environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI-driven product features.
  • Conduct rigorous testing and validation to ensure model accuracy, robustness, and compliance with data privacy standards.
  • Optimize existing algorithms and data pipelines to reduce latency and improve inference speeds.
  • Mentor junior engineers and foster a culture of continuous learning and technical excellence within the engineering department.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with a proven track record of shipping production models.
  • Expert proficiency in Python, TensorFlow, PyTorch, and SQL.
  • Strong understanding of MLOps practices, including model versioning, CI/CD, and cloud deployment (AWS/GCP/Azure).
  • Experience with Large Language Models (GPT, BERT, etc.) and Generative AI frameworks.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP MLOps AWS GCP SQL

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