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Senior AI/ML Engineer - Future Tech

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Future of Intelligence in 2026. Apex Future Systems is seeking a visionary Senior AI Engineer to architect the next generation of neural networks and generative models. In this role, you will not just be building software; you will be defining the trajectory of intelligent systems for the next decade.

We are looking for a thought leader who thrives in ambiguity and is passionate about pushing the boundaries of what is possible with Large Language Models and Computer Vision. If you are ready to build the future, we want to hear from you.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models at scale.
  • Lead research initiatives focusing on Generative AI and Transformer architectures.
  • Collaborate with cross-functional teams to translate complex technical concepts into scalable products.
  • Optimize model inference latency and reduce resource consumption.
  • Mentor junior engineers and data scientists, fostering a culture of innovation.
  • Stay ahead of the curve on emerging AI trends, specifically relevant to the 2026 technological landscape.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, or a related field.
  • 5+ years of professional experience in Machine Learning or Deep Learning engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of working with Large Language Models (LLMs) and Natural Language Processing (NLP).
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps pipelines.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow Cloud Computing MLOps Generative AI

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