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Senior AI/ML Engineer (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence

We are looking for a visionary Senior AI/ML Engineer to join Nexus Horizon Labs and define the technological landscape of 2026. As the industry shifts towards autonomous agents and responsible AI, we need a leader who can architect scalable, ethical, and high-performance machine learning systems. If you are passionate about pushing the boundaries of what's possible in Generative AI and Predictive Analytics, this is your opportunity to lead the charge.

Why Join Us?

  • Future-Ready Tech Stack: Work with the latest in LLMs, Vector Databases, and Edge Computing.
  • Impact: Your models will directly influence decision-making processes across global sectors.
  • Competitive Compensation: Comprehensive benefits package including equity, health, and wellness programs.

Responsibilities

  • Architect and deploy robust end-to-end machine learning pipelines for 2026-scale data volumes.
  • Lead the research and development of Generative AI models, ensuring high fidelity and low latency.
  • Implement MLOps strategies to automate model training, deployment, and monitoring.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure AI systems adhere to strict ethical guidelines and data privacy regulations.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related technical field.
  • 8+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker/Kubernetes).
  • Strong background in statistical analysis and model optimization techniques.

Required Skills

Python TensorFlow PyTorch MLOps NLP Large Language Models AWS Docker Kubernetes Generative AI Machine Learning Deep Learning San Francisco

Ready to Take This Challenge?

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