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Senior AI & Machine Learning Engineer

Vertex AI Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to lead our innovation initiatives for the 2026 roadmap. At Vertex AI Labs, we are building the next generation of intelligent systems that will redefine industry standards. You will be at the forefront of the tech revolution, working on cutting-edge Large Language Models (LLMs) and generative AI architectures.

Why Join Us?
We offer a competitive salary, equity package, and the flexibility to work from anywhere in the US. If you are passionate about the future of AI and want to make a tangible impact on the world by 2026, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning models for production environments.
  • Lead the technical strategy for our AI initiatives leading up to the 2026 milestone.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Optimize model performance, latency, and accuracy for real-time applications.
  • Research and implement state-of-the-art algorithms in NLP and Computer Vision.
  • Manage cloud infrastructure (AWS/GCP) and ensure data security compliance.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Minimum of 5 years of experience in machine learning engineering.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of distributed systems, cloud computing, and containerization (Docker/Kubernetes).
  • Experience with MLOps tools such as MLflow or Kubeflow.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
  • Proven track record of shipping production-grade AI products.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes MLOps NLP Deep Learning Machine Learning Engineering SQL

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