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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to shape the future of artificial intelligence? Nexus Innovations is looking for a visionary AI/ML Engineer to join our elite 2026 Vision Team. We are at the forefront of developing next-generation generative models and quantum-ready neural networks.

In this role, you will not just write code; you will architect the intelligence that powers our global ecosystem. You will work alongside top-tier researchers and engineers to solve complex problems that seem impossible today. If you are passionate about the bleeding edge of technology and want to define the AI landscape of the future, this is your opportunity.

Why Join Us?

  • Work with cutting-edge hardware and cloud infrastructure.
  • Competitive compensation package including equity.
  • Unlimited PTO and remote-first culture.

Responsibilities

  • Design, train, and deploy scalable machine learning models with a focus on generative AI and NLP.
  • Optimize existing neural networks for low-latency inference on edge devices.
  • Collaborate with data scientists to transform raw data into actionable intelligence.
  • Research and prototype novel algorithms to stay ahead of industry trends.
  • Mentor junior engineers and conduct code reviews to ensure best practices.
  • Ensure model fairness, transparency, and robustness in production environments.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Experience with large language models (LLMs) and fine-tuning techniques.
  • Excellent problem-solving skills and ability to work in a fast-paced startup environment.

Required Skills

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

Ready to Take This Challenge?

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

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