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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer at 2026

2026
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the future of artificial intelligence? At 2026, we are not just predicting trends; we are engineering the technological breakthroughs that will shape the next decade.

We are seeking a visionary Senior AI Engineer to join our elite research division in San Francisco. In this pivotal role, you will architect the next generation of generative models, optimizing them for real-world applications and massive scale.

Our mission is to bridge the gap between theoretical research and production-grade software, creating intelligent systems that understand and adapt to the world.

Responsibilities

  • Architect & Deploy: Design, train, and deploy state-of-the-art machine learning models, focusing on scalability and efficiency.
  • Research & Innovation: Push the boundaries of NLP and computer vision by implementing novel algorithms and techniques.
  • Performance Optimization: Conduct rigorous benchmarking and profiling to reduce latency and improve inference speeds.
  • Cross-Functional Collaboration: Partner with product managers and designers to translate complex AI capabilities into intuitive user experiences.
  • Technical Leadership: Mentor junior engineers and contribute to the engineering culture by conducting code reviews and technical workshops.
  • MLOps: Establish robust CI/CD pipelines for model training and deployment, ensuring reproducibility and reliability.

Qualifications

  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
  • Programming: Proficiency in Python, C++, and experience with frameworks such as PyTorch, TensorFlow, or JAX.
  • Education: MS or PhD in Computer Science, Mathematics, or a related technical field is highly preferred.
  • Tools: Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and MLOps practices.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.
  • Passion: A deep passion for the future of AI and a track record of shipping impactful products.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Distributed Systems NLP

Ready to Take This Challenge?

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