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Senior AI/ML Engineer - Future Tech 2026

Quantum Horizon AI
Austin
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to define the technology of tomorrow? Quantum Horizon AI is pioneering the next generation of intelligent systems. We are looking for a visionary Senior AI/ML Engineer to join our team in Austin and help architect the software stack for 2026.


In this role, you will be at the forefront of the 2026 Niche, focusing on agentic workflows, neuromorphic computing, and ethical AI infrastructure. You won't just be writing code; you will be building the foundation for the autonomous workforce of the future.


Why Join Us?

  • Work on cutting-edge projects that redefine industry standards.
  • Competitive compensation package with equity options.
  • Flexible hybrid work environment in the heart of Austin.
  • Access to state-of-the-art compute clusters and proprietary datasets.

Responsibilities

  • Architect Agentic Systems: Design and deploy autonomous AI agents capable of complex, multi-step decision-making processes.
  • Model Optimization: Optimize large language models (LLMs) and generative AI models for edge deployment and real-time inference.
  • Neuromorphic Research: Collaborate with research teams to implement bio-inspired computing architectures.
  • Data Pipeline Management: Build scalable, fault-tolerant data pipelines to support high-volume training and fine-tuning operations.
  • AI Ethics & Safety: Implement guardrails and safety protocols to ensure AI outputs are compliant and unbiased.
  • Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree is preferred.
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Programming: Expert proficiency in Python, with deep knowledge of PyTorch or TensorFlow.
  • Cloud Computing: Proven experience deploying models on AWS, GCP, or Azure.
  • Algorithms: Strong understanding of statistical analysis, probability, and algorithm design.
  • Communication: Excellent written and verbal communication skills for cross-functional collaboration.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Generative AI NLP Computer Vision Data Engineering AI Ethics

Ready to Take This Challenge?

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