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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer – Project 2026

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are on the cusp of a technological revolution. Project 2026 is our flagship initiative to redefine human-machine interaction through next-generation neural interfaces and autonomous systems. We are seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco.

As a key architect of Project 2026, you will design and deploy scalable machine learning models that power our autonomous decision-making engines. This role requires a blend of deep technical expertise and strategic thinking to push the boundaries of what is possible in AI.

Responsibilities

  • Architect and optimize complex deep learning models for real-time processing and low-latency deployment.
  • Collaborate with cross-functional teams (hardware, robotics, and UX) to integrate AI solutions seamlessly.
  • Drive research and development in Generative AI and Reinforcement Learning specific to the 2026 roadmap.
  • Mentor junior engineers and establish best practices for code quality and model evaluation.
  • Debug and resolve production-scale data pipeline bottlenecks.
  • Conduct rigorous A/B testing and model monitoring to ensure performance and safety standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 8+ years of professional experience in AI/ML engineering, with a focus on large language models or computer vision.
  • Proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Experience with distributed computing systems (Kubernetes, Spark, AWS/GCP/Azure).
  • Strong understanding of MLOps, data pipelines, and model versioning.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Kubernetes AWS Data Pipelines Neural Networks

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