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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
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the next generation of intelligent systems? Nexus Future Labs is seeking a visionary Senior AI & Machine Learning Engineer to lead the development of cutting-edge generative AI and predictive models. In this role, you will push the boundaries of what is possible in 2026, working on projects that redefine human-computer interaction and data processing.

We offer a competitive compensation package, equity, and the opportunity to work in a collaborative environment focused on innovation and scalability. If you are passionate about building the future of technology, we want to hear from you.

Why Join Us?

  • Work on state-of-the-art AI architectures.
  • Competitive salary and equity package.
  • Flexible remote and hybrid work options.
  • Professional development and learning stipends.

Responsibilities

  • Design, train, and deploy complex machine learning models and deep learning algorithms.
  • Optimize existing models for speed, accuracy, and scalability in production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Research and implement the latest advancements in Natural Language Processing (NLP) and Computer Vision.
  • Establish best practices for data pipeline management and model versioning.
  • Monitor model performance and conduct A/B testing to drive continuous improvement.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • Deep understanding of statistical analysis and machine learning theory.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of delivering production-ready AI solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS Docker Kubernetes SQL Scikit-learn

Ready to Take This Challenge?

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

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