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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - Vision 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are a pioneer in next-generation technology, dedicated to building the digital infrastructure that will define the year 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to join our elite team and drive the innovation required to meet our aggressive 2026 strategic goals.

In this role, you won't just write code; you will architect the future of our data ecosystem. You will work alongside industry leaders to deploy cutting-edge machine learning models that solve complex, real-world problems at scale.

If you are passionate about pushing the boundaries of artificial intelligence and want to be part of a company that is setting the standard for the future, we want to hear from you.

Responsibilities

  • Architect & Deploy: Design and implement scalable machine learning infrastructure and pipelines to support the company’s 2026 roadmap.
  • Model Optimization: Continuously improve existing models for accuracy, speed, and efficiency using state-of-the-art techniques.
  • Strategic Innovation: Identify emerging AI trends and integrate them into our product strategy to maintain a competitive edge.
  • Leadership: Mentor junior engineers and conduct code reviews to ensure high engineering standards across the team.
  • Data Strategy: Collaborate with data scientists to define data requirements and ensure high-quality input for training models.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, AI, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in machine learning engineering or data science.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
  • Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure.
  • Problem Solving: Proven track record of solving complex algorithmic problems in high-pressure environments.

Required Skills

Python Machine Learning Deep Learning AWS PyTorch TensorFlow Data Engineering Leadership Algorithm Design

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