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Senior AI/ML Engineer – The 2026 Initiative

Vertex Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the future of Artificial Intelligence?

Vertex Horizon is at the forefront of The 2026 Initiative, a revolutionary project designed to redefine machine learning capabilities and set the standard for the next era of technology. We are seeking a visionary Senior AI/ML Engineer to join our elite team and help build the intelligent systems of tomorrow.

In this role, you won't just be maintaining systems; you will be shaping the landscape of 2026. You will work with state-of-the-art frameworks, pushing the boundaries of what is possible in Generative AI and Neural Networks.

Why Join Us?

  • Competitive compensation package with equity options.
  • Work on high-impact projects that define the future of tech.
  • Flexible remote-first culture with a collaborative office in San Francisco.
  • Access to the latest hardware and cloud resources.

Responsibilities

  • Lead the end-to-end development of next-generation Large Language Models (LLMs) and generative AI frameworks.
  • Design scalable, fault-tolerant machine learning pipelines and distributed computing architectures.
  • Conduct in-depth research to implement cutting-edge algorithms that improve model performance and efficiency.
  • Collaborate closely with product managers and engineering teams to integrate AI solutions into core business applications.
  • Mentor junior data scientists and engineers, fostering a culture of technical excellence and continuous learning.
  • Optimize existing models for production environments, ensuring low latency and high throughput.

Qualifications

  • PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field.
  • Minimum of 5 years of professional experience in AI, Machine Learning, or Data Science.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Natural Language Processing (NLP), Deep Learning, and Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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