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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Architecting the 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Systems as a visionary Senior AI/ML Engineer. We are on a mission to pioneer the technological landscape for the next decade, and we need a technical leader to define the architecture for 2026 and beyond. You will work at the intersection of deep learning, generative AI, and scalable cloud infrastructure.

Key Highlights:

  • Impact: Directly influence the core roadmap of next-generation artificial intelligence.
  • Environment: Work with a world-class team of researchers and engineers in a hybrid-first setting.
  • Compensation: Top-tier salary plus significant equity stake.

We are looking for a builder who is not just comfortable with code, but who thrives on solving complex, unstructured problems.

Responsibilities

  • Design and implement robust machine learning pipelines and data processing workflows.
  • Research and deploy state-of-the-art Large Language Models (LLMs) and generative AI models.
  • Optimize model inference latency and resource utilization on cloud platforms (AWS/GCP).
  • Collaborate with product managers and engineers to translate business requirements into technical specifications.
  • Mentor junior engineers and establish best practices for MLOps and model governance.
  • Stay ahead of the curve on emerging AI trends and integrate them into our product suite.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in machine learning engineering or applied research.
  • Expert proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Strong experience with cloud infrastructure, containerization (Docker/Kubernetes), and microservices architecture.
  • Deep understanding of deep learning architectures, NLP, and computer vision.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS MLOps Docker Kubernetes GCP

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