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Senior AI Engineer - Project 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the future? Nexus Horizon is seeking a visionary Senior AI Engineer to lead the strategic development of Project 2026, our flagship initiative in next-generation autonomous intelligence systems. If you are passionate about pushing the boundaries of generative models and large-scale neural architectures, this is your opportunity to shape the trajectory of the industry.

In this pivotal role, you will design scalable, high-performance AI solutions and oversee the deployment of cutting-edge machine learning models. You will work in a high-performance environment that values innovation, creativity, and technical excellence, directly impacting how businesses operate in the future.

Why Join Nexus Horizon?

  • Impactful Work: Build core technologies for Project 2026 that will define the next decade of tech.
  • Top-Tier Compensation: Competitive salary, equity packages, and comprehensive health benefits.
  • Remote-First Culture: Flexible work arrangements with a focus on work-life balance.

Responsibilities

  • Lead the architectural design and implementation of complex AI models for Project 2026.
  • Optimize algorithms for low-latency, high-throughput environments to ensure real-time performance.
  • Collaborate with cross-functional teams including product managers, data scientists, and hardware engineers.
  • Establish and enforce best practices for data governance, model training, and MLOps pipelines.
  • Mentor junior engineers and foster a culture of continuous learning and technical excellence.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
  • Minimum of 6 years of experience in AI/ML engineering, with a focus on deep learning.
  • Deep expertise in Python, PyTorch, and TensorFlow frameworks.
  • Strong background in distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of leading large-scale machine learning projects from conception to production.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS MLOps System Design NLP Computer Vision

Ready to Take This Challenge?

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