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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - San Francisco, CA

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

Job Description

We are seeking a visionary Senior AI/ML Engineer to lead our initiatives in building the foundational models for the year 2026 and beyond. At Nexus Future Systems, we are not just building software; we are engineering the future of intelligence. You will work at the forefront of Generative AI, Large Language Models (LLMs), and autonomous systems in a high-growth environment.

Your role will involve architecting scalable machine learning pipelines, optimizing inference latency, and pushing the boundaries of what is possible with current AI architectures. You will collaborate with a world-class team of researchers, engineers, and product strategists to deliver next-generation solutions.

Responsibilities

  • Architect and deploy scalable machine learning and deep learning models to production environments.
  • Conduct cutting-edge research in Natural Language Processing (NLP) and Computer Vision.
  • Optimize existing models for speed, accuracy, and resource efficiency.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers to translate complex AI concepts into user-friendly features.
  • Stay abreast of the latest advancements in AI to drive continuous improvement within the organization.

Qualifications

  • 5+ years of professional experience in AI/ML engineering or data science.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of statistical modeling and neural network architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Experience with MLOps tools (MLflow, Kubeflow) is highly preferred.
  • Excellent communication skills and ability to work in a fast-paced, agile environment.

Required Skills

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

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