Software Engineer, Machine Learning Platform, Mountain View
Apply NowCompany: City Storage Systems
Location: Mountain View, CA 94040
Description:
Who we are
At City Storage Systems, we're building Infrastructure for Better Food. We help restaurateurs around the world succeed in online food delivery. Our goal is to make food more affordable, higher quality and convenient for everyone. 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
As a critical member of our Machine Learning infrastructure team, your main responsibilities will be to work closely with a small and talented group of software engineers to build an exceptional Machine Learning infrastructure that everyone in the company will use on a daily basis. You will have the opportunity to define and execute your own vision of creating a holistic and forward-looking platform with the ambitious goal of making a significant impact on the entire industry. We are not just here to follow trends but to set them! Your day-to-day will be focused on building rather than sitting in meetings, as we value hands-on work and getting things done. Join us on this exciting journey, and let's make a difference together!
Who we're looking for
An engineer with extensive experience in building distributed data-heavy systems at scale who has a passion for machine learning and ideally has experience building machine learning platforms. It would be great if you actively participate in an Open Source community within the Data/ML ecosystems, as we are big believers in OSS.
We understand that you may not have experience with all the technologies we use, but if you're eager to learn, contribute to pushing the industry forward, and have fun along the way, we would love to have a conversation with you.
Why join us
What else you need to know
This role is based in our Mountain View (SFBA), California office location. We understand the value of collaboration and believe that people thrive when they have other team members around them. As a company that thrives on innovation and constant improvement, we are dedicated to changing the industry, inventing new products and processes, and staying ahead of the curve. When you're constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we're better as a team in-person. That's why all of our teams (except for our field-based roles) are now working from one of our office locations 5 days a week. Looking forward to sharing more about a Career of Substance at City Storage Systems.
Ready to join us as we serve those who serve others?
For more information about our privacy policy, please view this link here: css-careers.com/privacy
#LI-Onsite
At City Storage Systems, we're building Infrastructure for Better Food. We help restaurateurs around the world succeed in online food delivery. Our goal is to make food more affordable, higher quality and convenient for everyone. 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
As a critical member of our Machine Learning infrastructure team, your main responsibilities will be to work closely with a small and talented group of software engineers to build an exceptional Machine Learning infrastructure that everyone in the company will use on a daily basis. You will have the opportunity to define and execute your own vision of creating a holistic and forward-looking platform with the ambitious goal of making a significant impact on the entire industry. We are not just here to follow trends but to set them! Your day-to-day will be focused on building rather than sitting in meetings, as we value hands-on work and getting things done. Join us on this exciting journey, and let's make a difference together!
Who we're looking for
An engineer with extensive experience in building distributed data-heavy systems at scale who has a passion for machine learning and ideally has experience building machine learning platforms. It would be great if you actively participate in an Open Source community within the Data/ML ecosystems, as we are big believers in OSS.
- You are comfortable using or learning our primary programming languages, Java, Go, and Python.
- We operate everything on Kubernetes (and we did write our own operators), and our current engine of choice for training and inference is Ray.
- While it's not mandatory, it would be beneficial if you have some familiarity with cloud offerings (Azure, GCP, ...).
- While we don't believe years of experience are everything, to become an expert in the Data field you will need at least 10 years in the weeds or extraordinary accomplishments.
We understand that you may not have experience with all the technologies we use, but if you're eager to learn, contribute to pushing the industry forward, and have fun along the way, we would love to have a conversation with you.
Why join us
- Growing market: You'll be focused on an $80 billion market that's projected to reach at least $500 billion by 2030 in the US alone.
- Changing the food industry: You'll be part of a team that helps restaurants succeed in online food delivery.
- Leadership support: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success.
What else you need to know
This role is based in our Mountain View (SFBA), California office location. We understand the value of collaboration and believe that people thrive when they have other team members around them. As a company that thrives on innovation and constant improvement, we are dedicated to changing the industry, inventing new products and processes, and staying ahead of the curve. When you're constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we're better as a team in-person. That's why all of our teams (except for our field-based roles) are now working from one of our office locations 5 days a week. Looking forward to sharing more about a Career of Substance at City Storage Systems.
Ready to join us as we serve those who serve others?
For more information about our privacy policy, please view this link here: css-careers.com/privacy
#LI-Onsite