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Senior AI & Machine Learning Engineer - San Francisco, CA

Vertex AI Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join the Architects of Tomorrow.

At Vertex AI Labs, we are pioneering the technology that will define the year 2026 and beyond. We are looking for a visionary Senior AI & Machine Learning Engineer to lead our core research initiatives and bridge the gap between theoretical models and scalable production systems. If you are passionate about building intelligent systems that solve complex problems, this is your chance to shape the future.

Why Join Us?
β€’ Visionary Impact: Work on projects that are at the forefront of the 2026 technology roadmap.
β€’ Top-Tier Compensation: Competitive salary plus performance bonuses and equity.
β€’ Modern Culture: A collaborative, inclusive, and remote-friendly work environment.

Responsibilities

  • Design, develop, and deploy cutting-edge machine learning models and algorithms to solve real-world business problems.
  • Lead the end-to-end machine learning lifecycle, from data ingestion and feature engineering to model training, evaluation, and deployment.
  • Collaborate with cross-functional teams of product managers, engineers, and designers to translate business requirements into technical solutions.
  • Mentor junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
  • Optimize existing models for speed, accuracy, and scalability to ensure high performance in production environments.
  • Stay ahead of industry trends in AI/ML to ensure Vertex AI Labs remains at the innovation frontier.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent professional experience.
  • 5+ years of professional experience in machine learning, data science, or a similar technical role.
  • Strong proficiency in programming languages such as Python, with deep experience in frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of statistical analysis, data mining, and large-scale data processing techniques.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes SQL Machine Learning Deep Learning NLP Computer Vision

Ready to Take This Challenge?

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