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Senior AI/ML Engineer - Future Tech

Nexus Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

We are on a mission to pioneer the next generation of Artificial General Intelligence. Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead the development of autonomous systems and deep learning architectures that will redefine human-machine interaction by 2026 and beyond.

If you are passionate about pushing the boundaries of what's possible in neural networks, large language models, and quantum-ready algorithms, we want to hear from you.

Why Join Us?

  • Work with cutting-edge hardware and software stacks.
  • Competitive equity and performance-based bonuses.
  • Flexible remote-first policy with state-of-the-art hubs in SF.
  • Focus on high-impact, long-term research projects.

Responsibilities

  • Design, train, and deploy scalable machine learning models and neural networks optimized for high-performance computing environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready applications.
  • Research and implement novel algorithms to improve model accuracy, latency, and efficiency.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Optimize existing codebases and infrastructure to ensure robust scalability and security.
  • Stay abreast of the latest advancements in AI, computer vision, and natural language processing to integrate them into our product roadmap.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent professional experience).
  • 5+ years of professional experience in machine learning, deep learning, or artificial intelligence engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of MLOps, model versioning, and deployment pipelines.
  • Proven track record of publishing in top-tier conferences or delivering high-impact commercial products.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps AWS Docker Kubernetes Natural Language Processing Computer Vision

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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