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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Are you ready to define the future of artificial intelligence? Nexus Horizon is seeking a visionary Senior AI/ML Engineer to lead our next generation of autonomous systems. In 2026 and beyond, we are building the infrastructure that powers the next era of human-machine collaboration.

We are looking for a technical leader who thrives on solving unsolved problems and pushing the boundaries of what's possible. If you have a passion for Agentic AI and scalable machine learning architectures, this is your stage to shape the technological landscape.

Why Join Us?

  • Impact: Work on projects that define the standard for AI safety and scalability.
  • Equity: Significant equity stake in a high-growth unicorn.
  • Flexibility: Hybrid work model with a focus on output over hours.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and algorithms tailored for the 2026 tech stack.
  • Lead the architecture of large-scale distributed systems for data processing and model training.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaborate with product teams to translate complex business requirements into technical AI solutions.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Research emerging trends in Generative AI and Large Language Models to integrate cutting-edge features.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow).
  • Proven track record of deploying models to production environments.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.

Required Skills

Python PyTorch TensorFlow MLOps Kubernetes Docker NLP Machine Learning Deep Learning AI Engineering Data Science

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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