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# Machine Learning Engineer

- **Company:** ATOM, INC.
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $175,000 - $230,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Computer Vision, Data Mining, Graph Database, Information Retrieval, Python (Programming Language), Logistic Regression, Machine Learning, Natural Language Processing, Recommender Systems, Robotic Automation Software, Software Engineering, Computational Statistics, Graph Neural Networks, Large Language Models, Deep Learning, Generative AI, Agentic-AI, Information Technology, Xgboost, Multiaccess Edge Computing
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_69849983323b015c6eaf8782e3a358f1

## About the Role

* Bachelor's degree required.
 * Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience.
 * Deep knowledge and experience with at least one ML model: LLMs, GNN, deep learning, logistic regression, gradient boosting trees, etc.
 * Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc.
 * High energy rapid software development, iterating and pivoting quickly.
 * Strong ability to design and create long-lasting architecture from scratch and evolve existing systems.
 * Proficient in Python; familiarity with Java/Go.
 * Experience with data analysis and visualization.
 * Strong communication and presentation skills.

## Description

As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Your role will encompass a diverse range of responsibilities, including:

 * Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
 * Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
 * Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
 * Collaborative teamwork: work closely with a team to enhance and support technology.
 * Innovation: Drive innovation within the team and support CSS' technological advancements.