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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the technological landscape of 2026 and beyond?

Quantum Leap Dynamics is seeking a visionary Senior AI/ML Engineer to lead our next-generation intelligence systems. As we prepare for the AI evolution expected in 2026, we need a pioneer who can bridge the gap between theoretical breakthroughs and scalable production systems. You will be at the forefront of Generative AI, Large Language Models (LLMs), and autonomous agent development.

In this role, you won't just maintain legacy systems; you will build the infrastructure that defines the future of enterprise automation.

Why join us?

  • Work with state-of-the-art tech stack (Python, PyTorch, Kubernetes).
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with a premium office in downtown SF.

Responsibilities

  • Architect Next-Gen Models: Design and implement scalable machine learning pipelines focused on Generative AI and LLM optimization for 2026 standards.
  • MLOps Leadership: Build and maintain CI/CD pipelines for model deployment, ensuring high availability and automated retraining workflows.
  • Research & Innovation: Stay ahead of industry trends to integrate cutting-edge advancements (e.g., Multimodal AI) into our core products.
  • Performance Optimization: Fine-tune models for inference speed and accuracy, reducing latency in real-time applications.
  • Collaboration: Partner with product managers and data scientists to translate complex AI capabilities into user-centric solutions.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field (PhD preferred for this senior role).
  • Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying models to production.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS/GCP/Azure) is essential.
  • Domain Knowledge: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Soft Skills: Exceptional problem-solving abilities and the communication skills to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps Machine Learning Deep Learning NLP Cloud Computing CI/CD AWS GCP

Ready to Take This Challenge?

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