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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer at 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of technology? 2026 is seeking a visionary Senior Artificial Intelligence Engineer to join our elite R&D team. We are building the infrastructure that will power the next decade of human-machine interaction. If you thrive in a fast-paced, high-impact environment and want to leave a legacy in the tech industry, we want to hear from you.

As a key member of our innovation team, you will be responsible for architecting scalable machine learning systems and pushing the boundaries of what is possible with generative AI. We offer a competitive compensation package, equity options, and the opportunity to work on projects that will shape the global technological landscape.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and algorithms to solve complex, real-world business problems.
  • Lead architectural decisions for our neural network infrastructure, ensuring high performance, scalability, and security.
  • Collaborate closely with cross-functional teams including product managers, data scientists, and software engineers to translate business requirements into technical solutions.
  • Optimize existing models for speed, accuracy, and efficiency, reducing inference latency and resource costs.
  • Conduct cutting-edge research in deep learning and natural language processing to stay ahead of industry trends.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards within the team.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • 5+ years of professional experience in designing and implementing production-grade machine learning systems.
  • Expert proficiency in programming languages such as Python, C++, and TensorFlow or PyTorch.
  • Strong understanding of statistical modeling, data structures, and algorithms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning NLP Data Structures Cloud Computing Docker Kubernetes

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