Phia
Technology
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer at Phia. Skills: Machine learning, MLOps, Data engineering. Design production ML models. Develop production ML models”
Industry & Context.
What They're Looking For.
Must Have
3+ years industry experience, Python proficiency, ML frameworks experience, Full ML lifecycle experience, Large-scale datasets experience, Experiment design understanding, Causal inference understanding, Cross-functional collaboration, Clear technical communication, Bachelor's degree or equivalent
Nice to Have
PhD preferred
What You'll Do.
Design production ML models
Develop production ML models
Deploy production ML models
Partner with Engineering
Partner with Operations
Translate requirements
Translate business goals
Develop experimentation frameworks
Develop causal measurement strategies
Build forecasting systems
Build ranking systems
Build personalization systems
Build optimization systems
Improve model performance
Improve model reliability
Improve model scalability
Contribute to ML platform
Contribute to ML infrastructure
Influence technical direction
Conduct design reviews
How You'll Work.
Team & Collaboration
Cross-functional partners
Communication Scope
Technical concepts clarity
Full Job Description
OVERVIEW As a Senior Machine Learning Engineer at Phia, you’ll build and scale production ML systems that power core product experiences and decision-making. You’ll work across the full ML stack, from data and modeling to deployment and iteration, on problems like ranking, personalization, and optimization. This role sits at the intersection of machine learning, product engineering, and data platforms, with ownership over systems that directly impact growth and user experience. You’ll ship models to production, run experiments at speed, and help define how machine learning is done as Phia scales. ABOUT PHIA Phia has raised $43M from Notable Capital, Khosla Ventures, and Kleiner Perkins, with backing from founders and operators like Vlad Tenev (Robinhood), Mellody Hobson (Ariel Investments), Naomi Gleit (Meta), and Mati Staniszewski (ElevenLabs), plus a roster of cultural leaders, to build the AI alignment layer for commerce. In just over a year, Phia's consumer shopping agent has surpassed 1.5 million users and partnered with 9,600+ retail brands across contemporary, resale, and luxury, representing billions in annual gross merchandise volume. We scan more than 350 million products to help shoppers find the right pieces at the best price, cutting return rates by 50%, and we're on pace for nine-figure sales growth this year. In an era where AI vertical agents are reshaping every industry, commerce is on the verge of a complete transformation. Phia is reinventing shopping from a fragmented, impersonal experience into one that feels intelligent, trusted, and built around each user's intent. This foundation of trust is our wedge to become the end-to-end shopping destination for the next generation of buyers. Phia is a lean, high-ownership team building at startup speed. If you want to ship at high velocity and solve complex problems in consumer AI and commerce, this is the place to do it. WHAT YOU OWN - Design, develop, and deploy production machine learning models
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