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Product Manager, Machine Learning Serving 24 views

The Machine Learning Platform team is looking for a product manager that enjoys creating great technology that scales to support their entire business in the fast-moving Machine Learning space.

Responsibilities

    • This role is focused on creating and driving the strategy for Lyft machine learning’s model serving infrastructure. This includes the tuning and optimizing experience for machine learning models, pushing them to deployment, A/B testing them versus existing, and instrumenting them for the model owner to detect data drift and automate retraining- among other areas
    • Design and manage the process of building products that would simplify machine learning development across Lyft
    • Contribute to the strategy and roadmap of machine learning initiatives at Lyft to help drive the most impact
    • Have a strong technical background with experience in machine learning algorithms
    • Help build new machine learning applications and platforms for areas like NLP, computer vision, mapping, and personalization across Lyft’s product areas
    • Work with Data Scientists and engineers to collect requirements and iterate to ensure the tools they build fully address their needs
    • Keep track of activities in the external machine learning community so they’d quickly identify opportunities and threats around tools and techniques

 

Experience

    • 5+ years successful product management experience
    • An academic background in an engineering or quantitative discipline. Graduate degree preferred
    • Familiarity with machine learning modeling workflows and basics of Data Science: feature selection and engineering, different machine learning model families, optimization considerations for machine learning models, deployment and serving challenges
    • Familiarity with machine learning algorithms: linear/logistic regression, random forest, gradient boosted trees, Deep Learning
    • Familiarity with machine learning platforms: TensorFlow, PyTorch, SKLearn
    • Knowledge of big data systems: Spark, Flink, Beam
    • Experience with Distributed Systems
    • Knowledge of TFX, XGBoost, Amazon Web Services, AWS Sagemaker
    • Strong analytical capability with experience in data modeling and analysis
    • Strong business acumen – MBA or equivalent work experience
    • Natural ability to make things happen around you
    • Strong communication skills

 

Benefits

  • Great medical, dental, and vision insurance options
  • In addition to 11 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Monthly commuter subsidy to cover your transit to work
  • 20% off all Lyft rides

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