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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

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

Job Description

Are you ready to architect the technology that will define the digital landscape of 2026 and beyond? Nexus Future Systems is seeking a visionary Senior AI & Machine Learning Engineer to join our elite team in San Francisco. We are not just building applications; we are engineering the future.

In this pivotal role, you will lead the development of cutting-edge artificial intelligence solutions that drive business value and innovation. We offer a competitive salary, comprehensive benefits, and the opportunity to work on projects that have a global impact.

Why Join Us?

  • Future-Ready Environment: Work on technologies that are shaping the industry in 2026 and beyond.
  • Competitive Compensation: Base salary of $160k - $220k plus equity.
  • Remote-First Culture: Hybrid flexibility for the best of both worlds.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and algorithms to solve complex business problems.
  • Collaborate with cross-functional teams including data scientists, engineers, and product managers to define AI strategies.
  • Optimize and fine-tune existing models for improved accuracy, speed, and efficiency.
  • Implement robust MLOps pipelines for model training, validation, and deployment.
  • Stay abreast of the latest AI research and integrate cutting-edge techniques into our products.
  • Conduct code reviews and mentor junior engineers to foster a culture of excellence.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in Machine Learning and Artificial Intelligence.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure).
  • Proven track record of shipping production-ready AI applications.

Required Skills

Python TensorFlow PyTorch MLOps AWS Deep Learning NLP Computer Vision

Ready to Take This Challenge?

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