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Senior AI/ML Engineer (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the Future of Intelligence

We are pioneering the next generation of Artificial General Intelligence (AGI) systems, targeting the pivotal year of 2026. Nexus Horizon Systems is looking for a visionary Senior AI/ML Engineer to join our elite research division. In this role, you will architect scalable models that will redefine human-machine interaction. If you are driven by complex challenges and want to leave a legacy in the tech landscape, we want to hear from you.

Why Join Us?

  • Work at the forefront of Generative AI and Large Language Models (LLMs).
  • Competitive equity package and comprehensive benefits.
  • Access to state-of-the-art computing infrastructure.
  • Collaborate with top-tier talent from leading research institutions.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models, with a focus on scalability and efficiency for 2026 infrastructure.
  • Lead research initiatives to improve model accuracy, reduce hallucinations, and enhance reasoning capabilities in LLMs.
  • Optimize existing inference pipelines to support high-throughput production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate AI solutions into real-world applications.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Stay ahead of the curve by evaluating emerging technologies, frameworks, and methodologies.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning, deep learning, or AI research.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of Natural Language Processing (NLP) and Computer Vision principles.
  • Experience with distributed computing frameworks (e.g., Spark, Ray) and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or delivering high-impact products.

Required Skills

Python PyTorch TensorFlow AWS GCP Machine Learning Deep Learning NLP LLM Generative AI Distributed Systems Spark CUDA Reinforcement Learning

Ready to Take This Challenge?

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