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Information Technology 🏢 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

NexusMind AI Systems
San Francisco
Salary Estimate
USD 180.000 – USD 240.000
Latest
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Build the Future of Intelligence

NexusMind AI is looking for a visionary Senior AI Engineer to join our core research and development team. You will be at the forefront of deploying generative models and large-scale machine learning systems that solve complex, real-world challenges. If you are passionate about pushing the boundaries of neural architectures and want to work with a world-class team, we want to hear from you.

Responsibilities

  • Design, train, and deploy advanced machine learning models for large-scale applications.
  • Optimize neural network architectures for latency, scalability, and performance.
  • Collaborate with cross-functional teams to integrate AI capabilities into our core product ecosystem.
  • Lead technical design sessions and mentor junior engineers on AI best practices.
  • Stay at the cutting edge of AI research by contributing to open-source initiatives and publishing whitepapers.
  • Monitor and improve model performance using MLOps best practices and automated pipelines.
  • Work closely with data infrastructure teams to refine data ingestion and labeling strategies.

Qualifications

  • Master’s or Ph.D. in Computer Science, AI, Robotics, or a related quantitative field.
  • 5+ years of professional experience in deep learning, natural language processing, or computer vision.
  • Expertise in Python and deep learning frameworks like PyTorch or TensorFlow.
  • Strong background in distributed computing and cloud platforms (AWS, GCP, or Azure).
  • Proven experience working with Large Language Models (LLMs) and transformer architectures.
  • Strong grasp of linear algebra, probability, and optimization algorithms.
  • Ability to thrive in a high-growth, fast-paced, and ambiguous start-up environment.

Required Skills

Artificial Intelligence Machine Learning Deep Learning PyTorch TensorFlow NLP Large Language Models Cloud Computing

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