Staff Machine Learning Engineer
PayPal
full-time
Posted on:
Location Type: Hybrid
Location: Tel Aviv • 🇮🇱 Israel
Visit company websiteJob Level
Lead
Tech Stack
AWSAzureCloudGoogle Cloud PlatformHadoopJavaPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
- design, develop, and implement machine learning models and algorithms to solve complex problems
- work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions
- build scalable ML pipelines, ensure data quality, and deploy models into production environments to drive business insights and improve customer experiences
Requirements
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent 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
- MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science, statistics or mathematics with a strong technical background in machine learning
- Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required
- Comprehensive understanding of machine learning algorithms and explainable AI techniques
- Expertise in at least one of the following specialized areas: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI)
- Experience with developing machine learning models at scale from inception to business impact
- Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring
- Experience in mentoring and supporting junior data scientists or engineers
- Experience working in a multi-cultural and multi-location organization – an advantage.
- Team player, responsible, delivery-oriented, details-oriented, outstanding communication skills
Benefits
- flexible work environment
- employee shares options
- health and life insurance
- more
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningML frameworksTensorFlowPyTorchscikit-learnPythonJavaSparkHadoopSQL
Soft skills
communication skillsteam playerresponsibledelivery-orienteddetails-orientedmentoringsupporting junior data scientists