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Senior AI/ML Engineer (2026 Roadmap)

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are pioneering the next generation of autonomous systems and are seeking a visionary Senior AI/ML Engineer to lead our 2026 roadmap. As we bridge the gap between current generative capabilities and future agentic workflows, you will define the technical architecture that powers the next decade of innovation. Join a team that values radical transparency, high-impact engineering, and the future of intelligent software.

Why Join Us?

  • Work on cutting-edge Generative AI and LLM applications.
  • Competitive equity package and top-tier benefits.
  • Remote-first culture with a hub in the heart of San Francisco.

Responsibilities

  • Architect and deploy scalable Machine Learning pipelines for 2026 readiness.
  • Lead research initiatives into Reinforcement Learning from Human Feedback (RLHF) and Agentic AI.
  • Optimize large language models for low-latency, high-volume inference environments.
  • Collaborate with cross-functional product teams to translate complex AI concepts into user-friendly features.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning.
  • Establish and maintain best practices for model governance and ethical AI usage.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years specifically in Large Language Models (LLMs).
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with vector databases (Pinecone, Milvus) and RAG architectures.
  • Deep understanding of MLOps, CI/CD, and cloud infrastructure (AWS/GCP/Azure).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python Machine Learning PyTorch TensorFlow LLMs NLP MLOps AWS Docker Kubernetes AI Architecture

Ready to Take This Challenge?

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