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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Quantum Leap Systems
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are looking for a visionary Senior AI Engineer to join our elite team at Quantum Leap Systems. If you are passionate about building scalable, intelligent systems and have a knack for turning complex data into actionable insights, this is the opportunity you've been waiting for.

In this role, you will be at the forefront of developing next-generation machine learning models that power our core products. You will collaborate with world-class data scientists, engineers, and product managers to deliver solutions that redefine industry standards. We offer a competitive compensation package, equity options, and a remote-first culture that encourages innovation and autonomy.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and deep neural networks.
  • Collaborate with cross-functional teams to integrate AI solutions into production environments.
  • Optimize data pipelines and infrastructure to ensure high availability and low latency.
  • Conduct thorough research and experimentation to improve model accuracy and performance.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning.
  • Stay abreast of the latest advancements in AI research and apply them to real-world problems.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 3+ years of professional experience in machine learning or artificial intelligence.
  • Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Keras.
  • Strong understanding of statistical modeling, natural language processing (NLP), or computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

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

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