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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Horizon AI
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join Nexus Horizon AI, a leader in next-generation artificial intelligence solutions. As we prepare to redefine the industry landscape in 2026, we are looking for a technical expert who can bridge the gap between theoretical machine learning and scalable, real-world applications.

In this role, you will be at the forefront of developing state-of-the-art Large Language Models (LLMs) and generative AI systems. You will work in a collaborative, high-performance environment that values innovation, ethical AI, and technical excellence.

Why Join Us?
We offer competitive compensation, equity packages, and the opportunity to shape the future of technology. Our culture is inclusive, fast-paced, and dedicated to pushing the boundaries of what's possible.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and algorithms for production environments.
  • Optimize existing models for speed, accuracy, and scalability using techniques like quantization and pruning.
  • Collaborate with cross-functional teams including data scientists, product managers, and software engineers to integrate AI solutions seamlessly.
  • Conduct rigorous testing and validation to ensure model reliability, fairness, and robustness.
  • Stay current with the latest research in deep learning, NLP, and generative AI to drive innovation.
  • Lead technical design reviews and mentor junior engineers on best practices in AI engineering.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning or artificial intelligence engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Deep Learning architectures (Transformers, CNNs, RNNs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying models to production and managing ML lifecycle.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS Docker Kubernetes Generative AI LLMs SQL Data Pipelines

Ready to Take This Challenge?

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