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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Nexus Future Labs is pioneering the next generation of artificial intelligence solutions, and we are seeking a visionary Senior AI Engineer to join our elite engineering team. In this pivotal role, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models that drive our core products.

We are looking for a technical leader who is passionate about the intersection of research and production engineering. If you thrive in a fast-paced environment and want to shape the future of AI, this is the opportunity for you.

Responsibilities

  • Design and implement scalable machine learning pipelines and end-to-end model architectures.
  • Conduct cutting-edge research to improve model accuracy, efficiency, and robustness.
  • Collaborate closely with product managers and software engineers to integrate AI features into production applications.
  • Optimize existing models for inference speed and reduce computational costs.
  • Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in NLP, Computer Vision, or Reinforcement Learning.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (PhD is a plus).
  • 5+ years of professional experience in software engineering or machine learning.
  • Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Deep understanding of natural language processing (NLP) and transformer architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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