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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you a visionary engineer ready to define the next generation of artificial intelligence? Nexus Future Labs is seeking a top-tier Senior AI/ML Engineer to join our elite team in San Francisco.


In this role, you will be at the forefront of developing groundbreaking machine learning models that power our enterprise solutions. We are looking for someone who doesn't just write code, but architects the future of intelligent systems. If you are passionate about the future of AI and possess the technical prowess to build scalable, high-impact systems, we want to hear from you.


Why Join Us?

  • Work on cutting-edge Generative AI and LLM projects.
  • Competitive salary and equity package.
  • Flexible remote-first policy with a vibrant office in the heart of SF.
  • Continuous learning budget and access to the best tech stack.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and algorithms.
  • Optimize existing AI pipelines for performance, scalability, and accuracy using Python and C++.
  • Collaborate with cross-functional teams to integrate AI solutions into production environments.
  • Conduct experiments with novel architectures and deep learning techniques.
  • Write clean, maintainable, and well-documented code following industry best practices.
  • Mentor junior engineers and contribute to the technical roadmap for AI innovation.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in Machine Learning Engineering or Data Science.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools (Kubernetes, MLflow).
  • Proven track record of shipping production-ready models to end-users.
  • Excellent problem-solving skills and a deep understanding of neural networks.

Required Skills

Python PyTorch TensorFlow AWS MLOps Machine Learning Deep Learning Natural Language Processing Cloud Computing Kubernetes

Ready to Take This Challenge?

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

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