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Information Technology 🏢 Full Time ⭐️ Verified

AI Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Are you ready to define the future of technology?

Nexus Future Systems is at the forefront of the Artificial Intelligence revolution. We are looking for a visionary AI Engineer to join our elite engineering team in San Francisco. If you are passionate about building scalable, robust machine learning systems and want to work on projects that redefine industry standards, we want to hear from you.

In this role, you will bridge the gap between theoretical research and practical application, deploying state-of-the-art models that power our next-generation products. Join a culture of innovation, continuous learning, and high-impact engineering.

Why Join Us?

  • Work on cutting-edge AI/ML infrastructure.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a vibrant in-office culture.
  • Professional development and tuition reimbursement.

Responsibilities

  • Design, train, and deploy scalable machine learning models and neural networks.
  • Collaborate with cross-functional teams of data scientists and software engineers to integrate AI capabilities into core products.
  • Optimize existing models for speed, accuracy, and resource efficiency in production environments.
  • Conduct rigorous A/B testing and model validation to ensure reliability and performance.
  • Stay abreast of the latest research in Deep Learning, NLP, and Computer Vision.
  • Mentor junior engineers and contribute to code reviews and architectural decisions.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 3+ years of professional experience in AI/ML engineering or data science.
  • Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, or JAX).
  • Strong understanding of statistics, probability, and algorithms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to communicate complex technical concepts clearly.

Required Skills

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

Ready to Take This Challenge?

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

Apply Now

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