Senior Software Engineer - Machine Learning Infrastructure

CloudKitchens•Mountain View, CA

1d•Onsite

About The Position

CloudKitchens helps restaurateurs around the world succeed in online food delivery - our goal is to make food more affordable, higher quality and convenient for everyone. We take underutilized properties and transform them into smart kitchens so they can better serve restaurateurs, customers and the neighborhoods they’re in. Every time we launch a new facility we create jobs in that neighborhood, and we’re proud to provide a wide range of cuisines and options for healthy food at an affordable price. We're changing the game for restaurateurs whether they’re entrepreneurs opening their first restaurant all the way through to your favorite global quick-service restaurant chains. What you’ll do Work on the Machine Learning and AI Infrastructure team, which is focused on providing infrastructure for data scientists and other engineers to use ML and AI technologies effectively. Build and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving. Build and maintain software and tools which enable efficient and effective use of GenAI (LLM) technologies. Do background research on latest innovations in the Machine Learning space and bring back insights to apply within the team.

Requirements

6+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results.
Background in data infrastructure, platform infrastructure or ML infrastructure is preferred.
Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently.
Proficiency in Python and Java programming languages.
We’re looking for engineers who are comfortable with multiple languages and have experience building scalable high-performance systems
Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes

Nice To Haves

Experience in real estate, food technology, or related industries is a bonus, though not required.
A passion for solving complex problems in these sectors is key.

Responsibilities

Work on the Machine Learning and AI Infrastructure team, which is focused on providing infrastructure for data scientists and other engineers to use ML and AI technologies effectively.
Build and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving.
Build and maintain software and tools which enable efficient and effective use of GenAI (LLM) technologies.
Do background research on latest innovations in the Machine Learning space and bring back insights to apply within the team.

Benefits

Medical, dental, and vision insurance (multiple plans, incl. HSA options).
Company-paid life and disability insurance (short- and long-term).
Voluntary insurance: accident, critical illness, hospital indemnity.
Optional supplemental life insurance for self, spouse, and children.
Pet insurance discount.
401(k).
Health Savings Account (HSA)
Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave
Benefits are subject to change at the company's discretion.