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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer (2026 Vision)

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to architect the systems that will define the technological landscape of 2026 and beyond? QuantumLeap Innovations is at the forefront of the AI revolution, and we are looking for a visionary Senior AI Engineer to join our elite engineering team.

In this role, you won't just be maintaining legacy systems; you will be building the foundation for the next generation of generative AI, predictive analytics, and autonomous agents. We offer a competitive compensation package, including equity, top-tier health benefits, and a remote-first culture that encourages deep work.

Why Join Us?
We are not just predicting the future; we are building it. You will work with state-of-the-art hardware and software stacks, collaborate with industry leaders, and have the autonomy to push the boundaries of what's possible in machine learning.

Responsibilities

  • Design and deploy scalable machine learning models and deep learning architectures for production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing algorithms for speed and accuracy, ensuring low latency in real-time applications.
  • Conduct research and implement cutting-edge techniques from the latest academic papers to stay ahead of the 2026 technology curve.
  • Establish best practices for code quality, testing, and CI/CD pipelines within the ML infrastructure.
  • Mentor junior engineers and conduct code reviews to foster a culture of continuous learning.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5+ years of professional experience in AI/ML engineering, with a focus on NLP or Computer Vision.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of distributed computing systems and cloud infrastructure (AWS, GCP, or Azure).
  • Proven track record of deploying models that handle high-volume data streams with 99.9% availability.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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