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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

2026 Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the Future of Intelligence

2026 Dynamics is at the forefront of the next industrial revolution. We are seeking a visionary Senior Artificial Intelligence Engineer to join our elite R&D team. In this pivotal role, you will architect and deploy cutting-edge neural networks that redefine human-computer interaction. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.

Why Join Us?

  • Work on high-impact projects with a global footprint.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium benefits.

Responsibilities

  • Model Architecture: Design, train, and fine-tune large-scale deep learning models for natural language processing and computer vision applications.
  • System Optimization: Optimize inference latency and throughput for production environments, ensuring scalability and efficiency.
  • Research & Development: Stay abreast of the latest academic papers and industry trends to integrate novel algorithms into our core products.
  • Collaboration: Partner with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
  • MLOps Implementation: Establish robust CI/CD pipelines and monitoring systems for model lifecycle management.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning engineering or research.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Apache Spark, Ray).
  • Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure.
  • Problem Solving: Exceptional ability to debug complex system issues and optimize performance bottlenecks.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS GCP Docker Kubernetes MLOps PySpark

Ready to Take This Challenge?

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