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Lead AI Research Engineer (2026 Horizon)

OmniFuture Corp
Seattle
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

OmniFuture Corp is pioneering the technological infrastructure for the year 2026 and beyond. We are seeking a visionary Lead AI Research Engineer to join our elite R&D division. In this pivotal role, you will not just build models; you will architect the future of intelligent systems, ensuring our solutions are scalable, ethical, and ready to redefine industry standards.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Models (LLMs).
  • Competitive equity package and top-tier health benefits.
  • Flexible remote-first culture with a hub in the heart of Seattle.
  • Direct access to executive leadership and high-impact projects.

If you are passionate about pushing the boundaries of artificial intelligence and want to be at the forefront of the 2026 tech revolution, we want to hear from you.

Responsibilities

  • Lead the research and development of advanced machine learning algorithms, specifically focusing on Generative AI and Natural Language Processing.
  • Design and implement scalable infrastructure for training and deploying large-scale models with low latency.
  • Collaborate with cross-functional teams to translate research breakthroughs into production-ready products.
  • Establish best practices for data privacy, model fairness, and ethical AI usage.
  • Publish high-impact research papers and contribute to the open-source community.
  • Guide and mentor junior engineers and data scientists within the research team.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of transformer architectures, attention mechanisms, and LLM fine-tuning techniques.
  • Experience with distributed training frameworks (e.g., Ray, Horovod, Spark).
  • Exceptional problem-solving skills and a track record of delivering innovative solutions under tight deadlines.

Required Skills

Python PyTorch TensorFlow Large Language Models Generative AI Distributed Systems Deep Learning MLOps

Ready to Take This Challenge?

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