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Job type full-time
Not provided by employer
Full job description
About us:
Cart.com is an ecommerce software and services company on a mission to democratize ecommerce and give digital merchants the freedom to growWe are integrating all the pieces of the ecommerce value chain brands need to thrive, creating a truly end-to-end ecommerce-as-a-service platform that helps third party brands move faster, grow more quickly, and deliver on their promises more completely.
Cart.com is looking for a senior machine learning engineer on our data science team.
The data science team at cart.com is a centralized team that reports directly to the ceo and is responsible for all things data, analytics, and ml/ai of cart.comThe team consists of cloud architects, data engineers, software engineers, data scientists, ml engineers, and data viz specialistsIt is our team`s mission to disrupt longstanding players in the value chain of ecommerce by designing a distributed network of capabilities that are 10x cheaper, 10x more convenient, and 10x better.
Responsibilities:
Engineer machine learning and analytics products into the cart.com platform - including but not limited to the domains of marketing, merchandising, site personalization, logistics, and supply chain
Step in and manage all components of the ml life cycle, when needed - design, develop, evaluate, deploy, serve, monitor, and maintain
Partner with cloud architects and data engineers to design any and all requirements that are needed for your ml products
Heavy usage of python and other capabilities, as needed, in order to develop products that are robust and scale to the thousands of current customers within the cart.com ecosystem
Help in the contribution and construction of the product roadmap including design and testing of poc products
Push the boundaries of what is believed to be possible with respect to personal growth and technology to ensure the success of our team and the customers of cart.com
Provide, promote, and accept feedback and guidance (from all levels) to promote a culture of continuous improvement, collaboration, and shared knowledge within a geographically dispersed and cross-functional team
Qualifications:
5+ years of relevant experience
Experience with retail and/or e-commerce - preferred
Proven experience in programming languages, namely python - preferred
Familiarity with core ml foundational algorithms - specifically including all unsupervised and supervised learning
Proven experience with tensorflow and/or pytorch
Deep understanding of ml systems and hardware - gpus, tpus, and npus
Familiarity with the deployment of ml products inside production environments
Experience leveraging ci/cd
Solid understanding of git and its proper usage within a decentralized software development team
Experience contributing to solution architecture and technical design
Ability to work cross-functionally to aid in product roadmap development
Bachelor`s / master’s / phd degree in stem - preferred but not required
Experience with gcp stack - preferred
Hands-on experience in a research laboratory environment - a major plus
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Our core values:
These aren’t just buried somewhere in an employee manualWe live and breathe themThey are on the walls and live in our heartsThey come up constantly in conversations and actionsThey govern the decisions of the newest hire all the way up to our ceo: we are obsessed with brands we live for brands and are fanatical about their successWe think beyond the box we explore new ideas and discover creative solutionsWe think openly about how to serve brands and solve problemsWe don`t give up no one expected this to be easyWe are resilient— we dig in and keep goingWe speak up every person here has an obligation to question norms, voice concerns, and offer their perspectiveWe work together we work with integrity and respect, ask for help, and extend the same help to othersWe are human our people are our biggest strengthWe have fun and make real connections with one another and with the brands we serve.
Cart.com is deeply committed to building a diverse and inclusive workplaceWe’re proud to be an equal opportunity employer, seeking to identify and onboard people from all walks of lifeAll qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds.
#li[sd1]
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