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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join Nexus Future Labs, a pioneer in next-generation intelligent systems. In this role, you will be at the forefront of developing scalable machine learning architectures that power our global infrastructure. You will collaborate with world-class researchers and engineers to solve complex problems in natural language processing and computer vision.

Our mission is to redefine the boundaries of artificial intelligence, and we need a technical leader who is passionate about ethical AI and real-world impact. If you thrive in a fast-paced, innovative environment and want to build the future, we want to hear from you.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and deep learning algorithms.
  • Optimize AI inference pipelines for low latency and high throughput in production environments.
  • Collaborate with data scientists and product managers to translate complex business requirements into technical solutions.
  • Conduct rigorous testing and validation of AI models to ensure accuracy, fairness, and robustness.
  • Mentor junior engineers and provide technical guidance on best practices in AI development.
  • Stay abreast of the latest research in the field to integrate cutting-edge techniques into our products.

Qualifications

  • Master’s or PhD degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in software engineering with a focus on AI/ML.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Deep understanding of statistical modeling, data mining, and large-scale distributed systems.
  • Excellent problem-solving skills and ability to work independently in a dynamic environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS Docker Kubernetes

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