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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer at 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the trajectory of technology in 2026 and beyond? 2026 is not just a year; it is a vision of the future.

We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. In this role, you won't just be maintaining existing systems; you will be architecting the neural networks that define the next generation of intelligent applications. If you thrive in high-performance environments and are passionate about pushing the boundaries of what is possible, we want to meet you.

Why join us?

  • Work on cutting-edge generative AI and LLM infrastructure.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in the heart of San Francisco.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and deep neural networks.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize AI inference pipelines for speed, accuracy, and cost-efficiency.
  • Mentor junior engineers and conduct code reviews to ensure best practices in AI development.
  • Stay abreast of the latest advancements in AI research and implement cutting-edge methodologies.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning engineering or a related role.
  • Strong proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Experience with distributed computing systems (e.g., Kubernetes, AWS, GCP) and MLOps tools.
  • Proven track record of deploying models into production environments.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP MLOps AWS Kubernetes SQL

Ready to Take This Challenge?

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