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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Zai Nexus
Austin
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite engineering team. As we look toward the technological horizon of 2026, we need a leader who understands the trajectory of Generative AI, LLMs, and autonomous systems. You won't just be maintaining legacy code; you will be architecting the neural networks that will define the next decade of digital interaction.

Why Join Us?

  • Work on cutting-edge projects that scale to millions of users.
  • Competitive salary and equity package reflecting market standards for 2026.
  • Flexible remote-first culture with top-tier benefits.
  • Opportunity to define the technical roadmap for our flagship AI products.

Responsibilities

  • Design and deploy scalable machine learning models for real-time applications with sub-millisecond latency.
  • Lead the research and implementation of LLM fine-tuning strategies to enhance model accuracy and safety.
  • Optimize model inference pipelines to reduce operational costs and improve efficiency.
  • Mentor junior engineers and establish best practices for the modern 2026 engineering stack.
  • Collaborate closely with product and data science teams to translate business goals into technical AI solutions.
  • Ensure data privacy, security, and ethical AI compliance in all deployed models.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in Machine Learning engineering, specifically in building production-grade models.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning concepts.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Cloud Computing SQL Data Engineering Kubernetes Docker AWS GCP

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