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Senior AI/ML Engineer 2026 | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027



Job Description

About Nexus Future Systems:
We are pioneering the next generation of autonomous intelligence. As we scale towards our 2026 roadmap, we are seeking a visionary Senior AI/ML Engineer to architect scalable, ethically-aligned artificial intelligence systems. If you are passionate about pushing the boundaries of Deep Learning and Generative AI, we want to meet you.

Why Join Us?
β€’ Competitive compensation and equity package.
β€’ Work with state-of-the-art hardware and cloud infrastructure.
β€’ Shape the future of AI in the 2026 era.

Responsibilities

  • Architect & Deploy: Design and implement cutting-edge Machine Learning models and pipelines optimized for high-volume production environments.
  • Research & Development: Lead research initiatives to advance Natural Language Processing (NLP) and Computer Vision capabilities for our 2026 product suite.
  • Model Optimization: Fine-tune large language models and reduce inference latency to ensure real-time performance.
  • System Integration: Collaborate with cross-functional teams to integrate AI models into consumer-facing applications seamlessly.
  • Best Practices: Establish coding standards, review code, and mentor junior engineers to foster a culture of excellence.
  • Ethical AI: Ensure all models adhere to fairness, transparency, and privacy standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in AI/ML, with a focus on Deep Learning frameworks.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps practices.
  • Communication: Excellent ability to translate complex technical concepts into clear business value.
  • Adaptability: Passionate about emerging technologies and eager to adapt to the rapid pace of the 2026 tech landscape.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow Deep Learning NLP MLOps Distributed Systems San Francisco California Full Time

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