Phia
Senior Machine Learning Engineer
New York City · Senior
Sponsorship not specifiedDetected 56 days ago
PythonCode ReviewMachine LearningTensorFlowPyTorchscikit-learnStatisticsA/B TestingForecastingMentoring
About the role
- 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.
Responsibilities
- Build and maintain forecasting, ranking, personalization, or optimization systems operating at scale
- Drive improvements to model performance, reliability, and scalability in production environments
- Influence technical direction through design reviews, code reviews, and mentorship of other engineers
Requirements
- Strong proficiency in Python and experience with common ML frameworks and libraries (e.g., PyTorch, TensorFlow, XGBoost, LightGBM, scikit-learn)
- Bachelor's degree in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience
- 3+ years of industry experience building and deploying machine learning systems in production
- Experience owning the full ML lifecycle, from data exploration to production deployment and iteration
- Experience working with large-scale, real-world datasets and noisy or incomplete data
- Solid understanding of experiment design and causal inference, including A/B testing and offline evaluation
- Ability to collaborate effectively with cross-functional partners and communicate technical concepts clearly
Nice to have
- Contribute to the ML platform and infrastructure, improving tooling for training, experimentation, and monitoring
Compensation
- 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.
Benefits
- As a Senior Machine Learning Engineer at Phia, you'll build and scale production ML systems that power core product experiences and decision-making.
- Design, develop, and deploy production machine learning models that power core product experiences and decision-making systems
- Own the end-to-end machine learning lifecycle, including data analysis, feature engineering, model training, evaluation, deployment, and monitoring
This listing is sourced directly from Phia's careers page and normalized into a canonical job model.