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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Lead Engineer (2026 Focus)

Horizon Dynamics Corp
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Architect the Future of Intelligence

Horizon Dynamics Corp is pioneering the technologies that will define the year 2026. We are looking for a visionary Future-Ready AI Lead Engineer to lead our research division. This is not a standard engineering role; it is an opportunity to build the foundational algorithms that will power autonomous decision-making systems for the next decade.

You will be at the intersection of theoretical research and scalable production, working with a team dedicated to pushing the boundaries of what is possible in AI.

Responsibilities

  • Define and execute the technical roadmap for AI innovations targeting the 2026 product cycle.
  • Lead the design and deployment of advanced Generative AI models and large-scale neural networks.
  • Optimize deep learning pipelines to achieve zero-latency inference in real-world environments.
  • Establish the company's AI governance framework to ensure ethical and compliant AI deployment.
  • Mentor a high-performing team of data scientists and machine learning engineers.
  • Collaborate with product strategists to translate futuristic concepts into viable technical solutions.

Qualifications

  • Advanced degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in Machine Learning, Deep Learning, or Reinforcement Learning.
  • Expert proficiency in Python, C++, and major ML frameworks (PyTorch, TensorFlow, JAX).
  • Proven experience in deploying LLMs and transformer architectures at scale.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure), and MLOps.
  • Demonstrated leadership experience in guiding technical teams through complex, undefined problem spaces.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps AWS Kubernetes Generative AI Large Language Models Leadership

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