MTS 1, Machine Learning Engineer
Job Description
- Develop and implement advanced Machine Learning (ML) models (graph neural networks, deep learning models).
- Solve critical business problems related to recommendation of PayPal products, personalizing product experiences, and optimizing customer lifecycle.
- Design and deploy scalable generative AI solutions.
- Design and deploy scalable ML/AI solutions to enhance PayPal's customer experience.
- Communicate complex concepts and model results to technical and non-technical audiences.
- Utilize knowledge and experience in relevant machine learning frameworks and packages such as Tensorflow and PyTorch.
- Experience with GCP/Hadoop and big data.
- Master’s degree, or foreign equivalent, in Computer Science, Operations Research, Engineering, or a closely related field.
- Two years of experience in the job offered or a related occupation.
- Experience with machine learning (ML) models, ANN, Big Query, Vertex AI, PyTorch, and AirFlow (1 year).
- Experience with RAG based LLM (6 months).
- Experience with data processing tools: Hadoop, SQL, Snowflake, Graphviz, Kubeflow, IntelliJ, and FAISS (6 months).
- Flexible work environment
- Employee shares options
- Health and life insurance
- Standard company benefits
- Balanced hybrid work model (3 days in office, 2 days home/office)
Job Duties:
Develop and implement advanced Machine Learning (ML) models, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform. Design and deploy scalable generative AI solutions as part of the ecosystem. Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization. Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise. Utilize knowledge and experience in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience. Partial telecommuting permitted within a commutable distance.
Minimum Requirements:
Master’s degree, or foreign equivalent, in Computer Science, Operations Research, Engineering, or a closely related field plus two years of experience in the job offered or a related occupation.
Special Skill Requirements:
1. Experience with the following: machine learning (ML) models, ANN, Big Query, Vertex AI, PyTorch, and AirFlow (1 year).
2. Experience with the following: RAG based LLM (6 months).
3. Experience with the following data processing tools: Hadoop, SQL, Snowflake, Graphviz, Kubeflow, IntelliJ, and FAISS (6 months).
