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Senior AI Engineer (2026 Roadmap) | San Francisco, CA

Quantum Leap Systems
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are building the operating system for the future. Quantum Leap Systems is seeking a visionary Senior AI Engineer to spearhead our initiatives for the 2026 roadmap. You will be at the forefront of developing next-generation artificial intelligence that will redefine industry standards.

In this role, you won't just write code; you will architect the neural networks and ethical frameworks that will power the next decade of digital transformation. If you are a technical expert looking to leave a lasting legacy in the AI landscape, this is your opportunity to lead.

Responsibilities

  • Lead the architectural design and implementation of scalable machine learning models for our 2026 product suite.
  • Drive the research and development of cutting-edge algorithms, focusing on Natural Language Processing and Computer Vision.
  • Collaborate with product managers and designers to translate complex AI capabilities into intuitive user experiences.
  • Establish and enforce best practices for data privacy, model governance, and ethical AI usage.
  • Optimize model inference performance to ensure low-latency deployment in production environments.
  • Mentor a team of high-performing engineers and researchers, fostering a culture of innovation.
  • Stay ahead of industry trends to integrate emerging technologies (e.g., quantum-ready AI) into our stack.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, or a related technical field (Master’s or PhD preferred).
  • 5+ years of professional experience in machine learning engineering, with a focus on AI architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Keras.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools, data pipelines, and model versioning (MLflow, Kubeflow).
  • Demonstrated ability to lead cross-functional teams and manage complex technical projects.
  • Passion for the ethical implications of AI and a commitment to responsible innovation.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP MLOps Cloud Computing System Architecture

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