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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Nexus 2026
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus 2026 is at the forefront of next-generation AI development, building the infrastructure that will define the technological landscape of 2026 and beyond.

We are looking for a visionary Senior AI Engineer to join our elite engineering team. In this role, you will not just write code; you will engineer the neural networks and algorithms that power our autonomous solutions and predictive analytics platforms. If you thrive in a fast-paced, high-impact environment and want to be part of a company that is literally building tomorrow, we want to hear from you.

Why Nexus 2026?

  • Work on cutting-edge Generative AI and Large Language Models.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with state-of-the-art equipment.

Join us in shaping the trajectory of the future.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and deep neural networks.
  • Optimize existing AI pipelines for improved latency, accuracy, and resource efficiency.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Conduct rigorous research to stay ahead of industry trends in AI, NLP, and Computer Vision.
  • Debug complex issues and ensure the stability of our production AI infrastructure.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent experience).
  • Deep understanding of statistical modeling, data structures, and algorithms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS Docker Kubernetes NLP Data Science

Ready to Take This Challenge?

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

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