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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer (Project 2026)

FutureScale Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are at the forefront of the AI revolution, and we are building Project 2026. Our mission is to define the standard for intelligent systems by the year 2026. We are seeking a visionary Senior AI Engineer to lead the architectural design and deployment of next-generation machine learning models.

In this role, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for building scalable, high-performance AI systems that power our core product suite. If you are passionate about the future of technology and want to shape the trajectory of AI development, we want to meet you.

Responsibilities

  • Architect and deploy scalable machine learning models aligned with the Project 2026 roadmap.
  • Optimize model inference pipelines for real-time, low-latency applications in high-traffic environments.
  • Collaborate with product managers and data scientists to define AI feature requirements.
  • Mentor junior engineers and establish best practices for MLOps, CI/CD, and data governance.
  • Research and prototype novel algorithms to solve complex, unstructured business problems.
  • Perform rigorous A/B testing, performance tuning, and model monitoring in production.
  • Stay ahead of industry trends in LLMs, NLP, and generative AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning engineering and deep learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of Natural Language Processing (NLP) and transformer architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of shipping production-grade AI solutions from research to deployment.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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