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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer at 2026 | San Francisco, CA

2026
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to define the future of technology? 2026 is a premier technology firm pioneering the next generation of artificial intelligence and machine learning solutions. We are seeking a visionary Senior AI Engineer to join our dynamic team in San Francisco.

In this role, you will be at the forefront of innovation, working on complex problems that have a tangible impact on millions of users. You will leverage state-of-the-art algorithms and cloud infrastructure to build scalable, intelligent systems that set new industry standards.

Join us and be part of a culture that rewards curiosity, technical excellence, and bold thinking.

Responsibilities

  • Model Architecture: Design, develop, and deploy advanced machine learning models using Python, PyTorch, or TensorFlow.
  • Research & Innovation: Conduct cutting-edge research to explore new frontiers in Natural Language Processing (NLP) and Deep Learning.
  • Production Optimization: Optimize model performance for speed, accuracy, and resource efficiency in high-traffic environments.
  • System Integration: Collaborate with full-stack engineers to seamlessly integrate AI capabilities into consumer-facing products.
  • Data Strategy: Partner with data scientists to establish robust data pipelines and governance frameworks.
  • Tech Leadership: Mentor junior engineers, conduct code reviews, and establish best practices for AI engineering within the team.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related technical field.
  • Experience: Minimum of 5 years of professional experience in AI/ML engineering.
  • Programming: Expert-level proficiency in Python and experience with C++ or Java.
  • Frameworks: Proven track record of using machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Cloud Computing: Experience deploying models on AWS, GCP, or Azure using containerization (Docker/Kubernetes).
  • Communication: Strong ability to translate complex technical concepts into clear, actionable insights for stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS GCP Docker Kubernetes SQL

Ready to Take This Challenge?

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

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