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Senior AI Engineer 2026

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

Job Description

We are Nexus 2026, a pioneering technology firm redefining the boundaries of artificial intelligence. We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. In this pivotal role, you will be at the helm of developing next-generation neural architectures designed to solve complex, real-world problems. If you are passionate about the future of technology and want to shape the landscape of 2026 and beyond, we want to meet you.

Why Join Nexus 2026?

  • Work on cutting-edge Large Language Models (LLMs) and Generative AI.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a vibrant in-office community.
  • Access to state-of-the-art hardware and research grants.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep neural networks.
  • Collaborate with data scientists and product managers to define AI strategy and roadmaps.
  • Optimize algorithms for high performance and low latency in production environments.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Research and implement the latest advancements in NLP and computer vision.
  • Ensure data privacy, security, and ethical AI practices in all projects.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in AI, Machine Learning, or Deep Learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of machine learning algorithms, statistical analysis, and data structures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Demonstrated ability to lead complex technical projects from conception to deployment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Data Science AWS Docker Kubernetes

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