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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite team at Nexus Future Labs. In this pivotal role, you will be instrumental in architecting the intelligent systems that define our roadmap for 2026 and beyond. If you are passionate about pushing the boundaries of what is possible with artificial intelligence, we want to hear from you.

Our mission is to revolutionize the industry by integrating advanced neural networks into core products. You will work in a dynamic, high-performance environment where innovation is the only constant and your contributions will have a direct impact on millions of users.

Responsibilities

  • Design, train, and deploy scalable machine learning models and neural networks for production environments.
  • Optimize deep learning algorithms for high performance, low latency, and efficient resource utilization.
  • Collaborate closely with cross-functional teams (product managers, data scientists, and engineers) to translate business requirements into technical solutions.
  • Perform rigorous data analysis and statistical modeling to drive data-driven decision-making.
  • Mentor junior engineers and conduct technical code reviews to ensure high code quality and adherence to best practices.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, research, or a related role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS GCP Docker Kubernetes

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