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Senior AI/ML Engineer - 2026 Vision

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Architect the Intelligence of Tomorrow.

Are you ready to define the technological landscape of 2026? Apex Future Systems is seeking a visionary Senior AI/ML Engineer to lead our cutting-edge research division. In this role, you won't just be building models; you will be pioneering the architecture for next-generation generative intelligence, quantum-interfaced AI, and autonomous systems.

As a key player in our team, you will bridge the gap between theoretical AI breakthroughs and scalable production environments. We value innovation, autonomy, and technical excellence above all else. Join us in building the tools that will power the enterprise of the future.

Responsibilities

  • Architect and deploy state-of-the-art Large Language Models (LLMs) and multimodal systems for enterprise application.
  • Lead research initiatives into emergent AI behaviors, focusing on safety, alignment, and ethical reasoning.
  • Optimize deep learning pipelines for high-performance inference on edge devices and cloud infrastructure.
  • Collaborate with cross-functional teams of data scientists, product managers, and hardware engineers.
  • Establish best practices for MLOps, ensuring reproducibility and model governance.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or deploying production-grade models.
  • Strong understanding of transformer architectures, reinforcement learning, and vector databases.
  • Experience with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP MLOps AWS GCP Kubernetes Data Science

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