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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Quantum Leap Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite engineering team at Quantum Leap Systems. In this pivotal role, you will drive the development of next-generation artificial intelligence solutions that redefine industry standards. If you are passionate about pushing the boundaries of machine learning, deep learning, and generative AI, we want to hear from you.

Our mission is to integrate cutting-edge AI into scalable products that impact millions of users. As a key contributor, you will not only build models but also lead the architectural vision for our AI infrastructure.

Responsibilities

  • Design, train, and deploy advanced machine learning models, including Large Language Models (LLMs) and computer vision systems.
  • Lead the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model evaluation and productionization.
  • Collaborate with cross-functional teams of data scientists, software engineers, and product managers to translate business requirements into technical solutions.
  • Optimize algorithms for high performance, scalability, and accuracy on large-scale distributed datasets.
  • Establish best practices for MLOps, CI/CD pipelines, and model monitoring to ensure robust and reliable deployments.
  • Research and implement novel techniques in NLP, Computer Vision, or Reinforcement Learning to stay ahead of the curve.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, Statistics, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on deep learning frameworks.
  • Proficiency in Python and experience with high-level libraries such as PyTorch, TensorFlow, or JAX.
  • Deep understanding of MLOps principles, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP/Azure).
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Docker Kubernetes NLP LLMs

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