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Senior Machine Learning Engineer

$190K–$250K

Mountain View, CA +1 · Senior · Full-time · Posted Jun 9, 2026

Location
Mountain View, CA
San Francisco, California, United States
Experience
Preferred 3+ years of relevant experience.
Education
Bachelor’s degree required; advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field is required.

About the job

Build and deploy production machine-learning systems and applications for the food industry, including AI agents, logistics optimization, robotics automation, recommendations, and knowledge graphs.

What you'll do

  • Apply machine-learning and statistical methods to challenges such as logistics, robotics automation, recommendation systems, and knowledge graphs.
  • Develop and deploy robust, low-maintenance machine-learning solutions in production.
  • Create onboarding codelabs, tools, and infrastructure that make machine-learning resources accessible.

What they ask for

  • Bachelor’s degree required; an advanced degree (PhD or Master) in a related technical field is also stated as required.
  • Deep knowledge and experience with at least one ML model, such as LLMs, GNN, deep learning, logistic regression, or gradient boosting trees.
  • Proficient in Python.
  • Experience with data analysis and visualization.

Nice to have

  • Familiarity with Java/Go.
  • Working knowledge of generative AI, data mining, information retrieval, advanced statistics, natural language processing, or computer vision.

Pay

$190,000 - $250,000 per year (USD, base salary)

Tools

LLMs, deep learning, graph neural networks, Logistic Regression, Gradient Boosting trees, Python, Java, Go

AI focus

Build Physical AI and machine-learning applications for food-industry operations, including LLMs, AI agents, logistics prediction and optimization, robotics automation, recommendations, and knowledge graphs.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)