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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

2026
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join 2026. At 2026, we are building the infrastructure for the next decade of intelligent systems. You will have the opportunity to work on cutting-edge generative models, large language models, and autonomous agents that redefine how humans interact with technology. If you are passionate about pushing the boundaries of artificial intelligence and thrive in a fast-paced, innovative environment, we want to meet you.


Why Join Us?

  • Work on mission-critical projects that shape the future of AI.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a vibrant San Francisco office.
  • Continuous learning budget and access to the latest tech stack.

Responsibilities

  • Design, train, and deploy scalable machine learning models and neural networks.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing algorithms for speed, accuracy, and cost-efficiency in production environments.
  • Conduct rigorous A/B testing and model monitoring to ensure performance and reliability.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Stay abreast of the latest research in deep learning and implement state-of-the-art techniques.
  • Document technical architecture and contribute to open-source initiatives.

Qualifications

  • Master’s degree in Computer Science, Machine Learning, or a related technical field (PhD preferred).
  • 5+ years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of MLOps, Docker, Kubernetes, and CI/CD pipelines.
  • Proven track record of shipping production-grade AI products.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS GCP Docker Kubernetes MLOps Natural Language Processing SQL

Ready to Take This Challenge?

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