Applied Machine Learning Engineers jobs in United States
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Shopify · 2 months ago

Applied Machine Learning Engineers

Shopify is a leading e-commerce platform that empowers entrepreneurs and enterprises to reach their potential. The Applied Machine Learning Engineer role involves tackling complex technical problems in commerce using advanced machine learning technologies to enhance merchant and buyer interactions.

E-CommerceE-Commerce PlatformsEnterprise SoftwareSaaS
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H1B Sponsor Likelynote

Responsibilities

Analyze and interpret large-scale datasets to drive model development and optimization
Collaborate with cross-functional teams to integrate ML solutions into Shopify's core products
Design, build, and deploy agents and multimodal LLMs that improve merchant and buyer interactions
Stay current with the latest advancements in machine learning technologies and frameworks
Document and share technical insights and best practices across teams

Qualification

Machine Learning ModelsTensorFlowPyTorchPythonAnalytical SkillsCommunication SkillsProblem-Solving Skills

Required

Extensive experience in building and deploying machine learning models at scale
Proficiency in using ML framework (e.g., TensorFlow, PyTorch) and programming languages like Python
Strong analytical and problem-solving skills in solving real-world product problems
Excellent communication skills and the ability to work in a fast-paced, collaborative environment

Company

Shopify is a cloud-based, multi-channel commerce platform designed for small and medium-sized businesses.

H1B Sponsorship

Shopify has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (57)
2024 (37)
2023 (9)
2022 (84)
2021 (41)
2020 (13)

Funding

Current Stage
Public Company
Total Funding
$122.25M
Key Investors
Bessemer Venture PartnersKlister Credit
2015-05-21IPO
2013-12-11Series C· $100M
2011-10-17Series B· $15M

Leadership Team

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Tobias Lütke
CEO
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Mikhail Parakhin
Chief Technology Officer
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Company data provided by crunchbase