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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Engineer to join 2026, a pioneer in next-generation artificial intelligence and predictive modeling. As we build the infrastructure for the future, we need a technical expert who can architect scalable, robust, and ethically sound machine learning solutions.

In this role, you will be at the forefront of innovation, designing algorithms that redefine user experiences. You will work in a high-performance environment where your code directly impacts millions of users globally. If you are driven by complex challenges and possess a passion for the future of technology, 2026 is the place for you.

Why Join Us?

  • Impactful Work: Build the core AI infrastructure for our flagship products.
  • Future-Forward: Work with the latest tools and frameworks in the AI landscape.
  • Competitive Compensation: Comprehensive health, dental, and vision coverage.
  • Flexible Environment: Hybrid work model based in San Francisco.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and neural networks.
  • Collaborate with product managers and engineers to integrate AI features into production applications.
  • Optimize existing algorithms for improved accuracy, speed, and resource efficiency.
  • Conduct cutting-edge research to stay ahead of industry trends in Deep Learning and NLP.
  • Ensure all AI systems adhere to ethical guidelines and data privacy regulations.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in Machine Learning or Deep Learning engineering.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of shipping production-grade ML systems.

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch AWS Kubernetes SQL Data Pipelines

Ready to Take This Challenge?

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