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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our team in San Francisco. As we look toward the year 2026, our goal is to redefine the boundaries of artificial intelligence. You will be at the forefront of developing scalable machine learning models and deploying next-generation generative AI solutions that transform industries.


Why Join Us?
We offer a competitive salary, equity package, and the opportunity to work on projects that shape the future of technology. Our culture prioritizes innovation, continuous learning, and collaborative problem-solving.

Responsibilities

  • Architect Scalable AI Systems: Design and implement cutting-edge machine learning pipelines and deep learning architectures.
  • Model Optimization: Fine-tune and optimize large language models (LLMs) for high-performance inference and reduced latency.
  • Research & Development: Stay abreast of the latest AI trends and research to integrate novel techniques into our production environment.
  • Collaboration: Partner with data scientists and product managers to define technical requirements and drive project success.
  • Mentorship: Guide junior engineers and provide technical leadership within the engineering department.

Qualifications

  • Education: BS, MS, or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in Machine Learning and Deep Learning.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP).
  • LLM Expertise: Strong understanding of transformer architectures, prompt engineering, and RAG (Retrieval-Augmented Generation).
  • Problem Solving: Ability to troubleshoot complex algorithms and optimize system performance under pressure.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Generative AI AWS Docker Kubernetes SQL

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