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Senior AI/ML Engineer | 2026 Roadmap | Austin, TX

Quantum Horizon Corp
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the foundational technology for the year 2026. As a Senior AI/ML Engineer at Quantum Horizon, you will lead the architecture of next-generation intelligent systems. This is a unique opportunity to shape the future of human-machine interaction and drive the roadmap that defines our industry's trajectory.

Why This Role?

  • Impactful Work: Directly influence the 2026 product vision and core infrastructure.
  • Innovative Environment: Work with cutting-edge LLMs, generative AI, and agentic workflows.
  • Competitive Package: Comprehensive benefits, equity options, and flexible remote policies.

We are looking for a visionary engineer who is not just keeping up with trends but is setting them.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and algorithms aligned with the 2026 roadmap.
  • Research and prototype novel AI architectures, focusing on Large Language Models (LLMs) and autonomous agents.
  • Collaborate with product managers and data scientists to translate complex business requirements into technical solutions.
  • Optimize model performance, reduce inference latency, and ensure high accuracy in production environments.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience fine-tuning and deploying large-scale models (e.g., GPT-4, LLaMA, Claude).
  • Deep understanding of MLOps, cloud infrastructure (AWS/GCP), and data pipeline management.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow LLM AWS GCP MLOps Austin Texas Remote

Ready to Take This Challenge?

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