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Senior AI & Neural Network Engineer (Vision 2026)

Apex Horizon Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the future of technology? Apex Horizon Innovations is seeking a visionary Senior AI & Neural Network Engineer to lead our next-generation R&D initiatives. We are building the foundational architecture for the technological landscape of 2026 and beyond. In this role, you won't just maintain systems; you will architect them. You will be responsible for developing cutting-edge artificial intelligence models that redefine human-computer interaction.

Join a team of elite engineers and data scientists dedicated to pushing the boundaries of what is possible in machine learning and predictive analytics. We offer a competitive compensation package, equity packages, and the opportunity to work on projects that will have a global impact.

Responsibilities

  • Design and implement scalable deep learning architectures for autonomous systems and predictive AI.
  • Lead the research and optimization of neural network models to improve accuracy and efficiency.
  • Collaborate with cross-functional teams to integrate AI solutions into our core product ecosystem.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Oversee the end-to-end machine learning lifecycle, from data ingestion to model deployment in production environments.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in machine learning, deep learning, and NLP.
  • Expert proficiency in Python, TensorFlow, PyTorch, and CUDA.
  • Strong understanding of distributed computing systems and cloud infrastructure (AWS/GCP/Azure).
  • Experience with MLOps, model versioning, and A/B testing frameworks.

Required Skills

Python TensorFlow PyTorch Deep Learning NLP Machine Learning AWS Cloud Computing Distributed Systems

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