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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - Generative Intelligence

Apex Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the intelligent systems of tomorrow? Apex Horizon Tech is seeking a visionary Senior AI/ML Engineer to lead our research into Generative AI and Large Language Models. We are building the infrastructure that will define the technological landscape of 2026 and beyond.

In this role, you will not just use existing tools; you will push the boundaries of what is possible, optimizing models for real-time inference, scalability, and ethical AI deployment. Join a team of world-class researchers and engineers dedicated to solving humanity's most complex challenges through advanced artificial intelligence.

Why join us?

  • Work on cutting-edge Generative Vision and NLP models.
  • Competitive compensation package including stock options.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Opportunity to shape the roadmap of future AI technologies.

Responsibilities

  • Design, train, and deploy scalable machine learning models and algorithms.
  • Optimize deep learning pipelines for high-volume data processing and low-latency inference.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Conduct research to implement state-of-the-art techniques in Natural Language Processing and Computer Vision.
  • Mentor junior engineers and establish best practices for code quality and model deployment.

Qualifications

  • 5+ years of professional experience in machine learning, AI, or a related field.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Deep Learning architectures (Transformers, GANs, Diffusion Models).
  • Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS, GCP, Azure).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
  • Master's degree or PhD in Computer Science, Mathematics, or a related technical field.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision MLOps AWS GCP Agile Leadership

Ready to Take This Challenge?

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