Applied ML Engineer for Physical AI & Robotics

Atoms

Mountain View (CA)

Vor Ort

USD 175.000 - 230.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Medical, dental, and vision insurance
401(k)
Flexible Spending Accounts
Discretionary vacation days
Paid sick time

Zusammenfassung

Atoms in Mountain View is looking for a Machine Learning Engineer to contribute to state-of-the-art AI solutions in the food industry. You will leverage advanced methodologies including large language models and deep learning to tackle challenges in logistics prediction, recommendation systems, and automation. Candidates should have a Bachelor's degree and preferably a PhD or Master’s with experience in ML. The position offers a base salary between $175,000 and $230,000, benefits, and a dynamic work environment.

Qualifikationen

  • Bachelor's degree required.
  • PhD or Master in a related field with 3+ years of experience.
  • Deep knowledge of at least one ML model: LLMs, GNN, etc.
  • Experience in generative AI, data mining or NLP preferred.
  • Strong design and architecture skills.
  • Proficient in Python and experience with data visualization.
  • Excellent communication and presentation abilities.

Aufgaben

  • Develop and deploy machine learning solutions for production.
  • Leverage advanced methodologies to solve diverse challenges.
  • Collaborate with teams to enhance and support technology.
  • Create tools to democratize access to machine learning resources.
  • Drive innovation within the team.

Kenntnisse

Machine Learning
Deep Learning
Python
Data Analysis
Strong Communication

Ausbildung

Bachelor's degree
PhD or Master in Computer Science or related field

Tools

Large Language Models (LLMs)
Graph Neural Networks (GNN)
Java
Go

Jobbeschreibung

Atoms in Mountain View is looking for a Machine Learning Engineer to contribute to state-of-the-art AI solutions in the food industry. You will leverage advanced methodologies including large language models and deep learning to tackle challenges in logistics prediction, recommendation systems, and automation. Candidates should have a Bachelor's degree and preferably a PhD or Master’s with experience in ML. The position offers a base salary between $175,000 and $230,000, benefits, and a dynamic work environment.
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