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Senior AI/ML Engineer

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence.

Apex Horizon Systems is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. As we look toward the technological landscape of 2026 and beyond, we are building the next generation of autonomous systems and generative AI solutions. This is a rare opportunity to lead high-impact projects that will define the future of human-machine interaction.

Why Join Us?

  • Work on cutting-edge Large Language Models (LLMs) and reinforcement learning.
  • Competitive salary and equity package in a high-growth unicorn.
  • Flexible remote-first culture with a hub in the heart of SF.
  • Access to state-of-the-art hardware and cloud infrastructure.

Role Overview:

We are looking for a technical leader who doesn't just write code but architects solutions for tomorrow. You will bridge the gap between theoretical research and scalable production engineering, ensuring our AI models are robust, ethical, and efficient.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep learning architectures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI roadmaps.
  • Optimize existing algorithms for reduced latency and improved accuracy.
  • Conduct rigorous research into emerging AI trends, including generative adversarial networks (GANs) and transformer models.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Ensure AI systems are compliant with ethical guidelines and data privacy regulations.

Qualifications

  • Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, preferably in a startup or high-tech environment.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with distributed computing (Spark, Kubernetes) and cloud platforms (AWS, GCP, Azure).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent problem-solving skills and the ability to thrive in fast-paced, ambiguous environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing AWS Kubernetes Data Science

Ready to Take This Challenge?

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