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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer (2026 Visionary)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the team building the future. We are seeking a Senior AI & Machine Learning Engineer to spearhead our initiatives for the upcoming technological era of 2026. If you are passionate about Generative AI, Large Language Models (LLMs), and scalable infrastructure, this is your chance to make a tangible impact on the industry.

As a key member of our R&D division, you will bridge the gap between theoretical research and production-grade applications, ensuring our solutions are ready to dominate the market by 2026. You will work on cutting-edge projects that define the next generation of intelligent software.

Responsibilities

  • Design and implement scalable machine learning pipelines and algorithms focused on 2026 readiness.
  • Lead the research and development of advanced Natural Language Processing (NLP) and generative models.
  • Collaborate with product managers and engineers to integrate AI solutions into core business products.
  • Mentor junior engineers and contribute to code reviews to maintain high technical standards.
  • Optimize model performance for latency, accuracy, and throughput in high-traffic environments.
  • Stay ahead of industry trends to ensure our architecture is future-proofed.

Qualifications

  • Master’s or Ph.D. in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
  • Proven track record of deploying models to production environments (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS GCP SQL Agile Leadership

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