Applied ML Engineer for Physical AI & Robotics

Atoms; Mountain View (CA); On-site; USD 175,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k)

Flexible Spending Accounts

Discretionary vacation days

Paid sick time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Machine Learning

Deep Learning

Python

Data Analysis

Strong Communication

Education

Bachelor's degree

PhD or Master in Computer Science or related field

Tools

Large Language Models (LLMs)

Graph Neural Networks (GNN)

Java

Go

Job description

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.