Production Machine Learning Engineer deploying advanced perception models in Toyota's autonomous vehicle platform. Join a team innovating in mobility solutions while ensuring safety and reliability.
About the role
- Develop and validate machine learning models at PayPal for innovative AI/ML solutions. Collaborate with data scientists and software engineers to enhance services and customer experiences.
Responsibilities
- Develop and optimize machine learning models for various applications.
- Preprocess and analyze large datasets to extract meaningful insights.
- Deploy ML solutions into production environments using appropriate tools and frameworks.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models.
Requirements
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
- Several years of experience in designing, implementing, and deploying machine learning models.
- Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
- Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark, SQL, etc.)
- Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry.
- Ability to work effectively both independently and in a team environment.
- Ability to communicate effectively and establish constructive relationship with stakeholders.
Benefits
- Generous paid time off
- Healthcare coverage for you and your family
- Resources to create financial security
- Support for your mental health
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