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Senior AI/ML Engineer: Architecting the Future of 2026

Apex Horizon Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026?

Apex Horizon Labs is pioneering the next generation of Artificial Intelligence. We are seeking a visionary Senior AI/ML Engineer to lead our cutting-edge research and development initiatives. In this role, you won't just build models; you will architect the intelligent systems that will define the future of human-computer interaction.

Our mission is to solve the most complex challenges in Generative AI, Autonomous Agents, and Predictive Analytics by 2026. If you thrive in a high-performance environment and want to push the boundaries of what's possible, we want to meet you.

Responsibilities

  • Architect Scalable ML Pipelines: Design and implement robust, scalable machine learning infrastructure capable of handling petabytes of data.
  • Pioneering AI Research: Lead the research and development of next-generation Large Language Models (LLMs) and Agentic AI frameworks.
  • Model Optimization: Engineer efficient inference engines to reduce latency and maximize cost-effectiveness in production environments.
  • Cross-Functional Leadership: Collaborate closely with product managers, data scientists, and engineering teams to translate business requirements into technical solutions.
  • Trend Analysis: Stay at the forefront of emerging AI technologies (e.g., Neural Radiance Fields, Quantum Machine Learning) to guide our 2026 roadmap.
  • Mentorship: Foster a culture of technical excellence by mentoring junior engineers and conducting code reviews.

Qualifications

  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS/GCP/Azure).
  • Model Engineering: Deep understanding of fine-tuning LLMs, RAG (Retrieval-Augmented Generation), and vector databases.
  • Education: MS or PhD in Computer Science, Mathematics, or a related field (preferred).
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions in fast-paced environments.
  • Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.

Required Skills

Python Machine Learning Deep Learning NLP LLM PyTorch TensorFlow AWS Cloud Computing Data Science AI Architecture

Ready to Take This Challenge?

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