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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Vertex Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future of intelligence? Vertex Horizon Labs is seeking a visionary Senior AI/ML Engineer to join our elite research and development team. We are pioneering next-generation deep learning solutions that will define the technological landscape of the next decade. If you possess an insatiable curiosity for cutting-edge algorithms and want to build systems that scale, we want to meet you.

In this pivotal role, you will not just write code; you will shape the architecture of our proprietary neural networks, optimizing them for both performance and ethical integrity. You will work in a high-velocity environment where your contributions directly impact millions of users globally.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and deep learning architectures for production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex business requirements into technical AI solutions.
  • Optimize existing models for inference speed, scalability, and energy efficiency to reduce latency in real-time applications.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Conduct rigorous A/B testing and model validation to ensure accuracy, robustness, and fairness in AI outputs.
  • Stay abreast of the latest research in AI/ML, experimenting with new paradigms such as Transformers, GANs, or Reinforcement Learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Strong proficiency in Python, PyTorch, or TensorFlow, with a deep understanding of data manipulation libraries like Pandas and NumPy.
  • Proven track record of deploying ML models to cloud environments (AWS, GCP, or Azure).
  • Experience with big data technologies (Spark, Hadoop) and distributed computing systems.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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