CloudKitchens

Senior Software Engineer - Machine Learning Infrastructure - San Francisco, CA

CloudKitchens$176K — $230K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of software engineering experience
  • Preferred background in data, platform, or ML infrastructure
  • Enthusiastic about navigating and modifying large codebases
  • Proficient in Python and Java
  • Familiarity with Azure and GCP, including Docker and Kubernetes
  • Experience in real estate, food tech, or related industries is a plus

Responsibilities

  • Join the Machine Learning and AI Infrastructure team
  • Build and maintain tools for the classical ML stack
  • Develop software to enable efficient use of GenAI technologies
  • Conduct research on the latest Machine Learning innovations
  • Collaborate closely with team members in an office setting to drive results

Benefits

  • Medical, dental, and vision insurance options
  • Company-paid life and disability insurance
  • 401(k) plan
  • Health Savings Account (HSA)
  • Discretionary vacation days and paid holidays
  • Paid sick time, bereavement leave, and parental leave
  • Pet insurance discount
Full Job Description
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.


What we're looking for
  • 3+ 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
  • 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.


What else you need to know

This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $176,000 - $230,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):
  • 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.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others?

#LI-Onsite

About CloudKitchens

CloudKitchens is a technology company that provides a platform for restaurants to operate delivery-only kitchens. The company's platform allows restaurants to expand their delivery reach without the need for additional physical locations, while also providing real-time data and analytics to optimize operations. CloudKitchens was founded in 2016 by Travis Kalanick, the co-founder of Uber, and is headquartered in Los Angeles, California.
Learn more about CloudKitchens
Size
1,000 employees
Industry
Founded
2016

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