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Lead AI Engineer: 2026 Initiative

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to architect the future? Apex Horizon Technologies is at the forefront of the '2026 Initiative,' a groundbreaking mission to redefine the boundaries of artificial general intelligence.

We are seeking a visionary Lead AI Engineer to spearhead our core research division. In this high-impact role, you will not only implement existing algorithms but will actively contribute to the design of the proprietary frameworks that will power the next generation of autonomous systems. You will operate at the intersection of deep learning, edge computing, and ethical AI, ensuring our solutions are as responsible as they are revolutionary.

Join us in shaping the technological landscape of 2026 and beyond.

Responsibilities

  • Architect and implement scalable machine learning pipelines designed for high-throughput data processing.
  • Lead a team of senior data scientists and engineers in the research and development of next-generation Large Language Models (LLMs).
  • Optimize model inference latency and accuracy for real-time applications on edge devices.
  • Define the technical roadmap and architectural standards for the 2026 product release cycle.
  • Collaborate with product leadership to translate complex AI capabilities into user-centric features.
  • Conduct rigorous peer code reviews and ensure adherence to security and compliance standards.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 8 years of professional experience in AI/ML engineering and software development.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying machine learning models into production at scale.
  • Strong understanding of neural architecture search and model compression techniques.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Required Skills

Python PyTorch Machine Learning Deep Learning AWS Kubernetes TensorFlow System Design

Ready to Take This Challenge?

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