Designing, developing, and implementing machine learning models and algorithms at PayPal. Collaborating with data scientists and software engineers to enhance services through innovative AI/ML solutions.
About the role
- Senior AI/ML Engineer at Cinemo developing GenAI/NLP solutions for intelligent cockpit systems. Leveraging cloud and in-vehicle integrations to enhance automotive experiences.
Responsibilities
- Lead GenAI / LLM / NLP research, development, tuning, and deployment for intelligent cockpit and infotainment experiences.
- Design, implement, and operate production-grade AgenticAI frameworks (tool use, planning, memory, orchestration) within Cinemo’s middleware architecture.
- Build and run cloud-based services and pipelines for scalable deployment, monitoring, and continuous improvement of GenAI systems.
- Develop prompt engineering strategies and guardrailing mechanisms to meet automotive-grade requirements (safety, policy, latency, cost, quality).
- Establish automated evaluation and benchmarking for non-deterministic systems (offline/online evaluation, regression testing, A/B testing).
- Collaborate across teams to connect cloud GenAI capabilities with in-vehicle environments across diverse automotive hardware and OS platforms.
Requirements
- PhD or M.Sc. in Computer Science, Machine Learning/AI, Data Science, Computational Linguistics, Electrical Engineering, Robotics, or a closely related field.
- Strong experience in NLP, Machine Learning, Deep Learning, and data preprocessing in production-oriented environments.
- Proven expertise with Transformer architectures and modern LLM ecosystems, including adaptation and evaluation for real-world applications.
- Experience with AgenticAI concepts and agent frameworks (e.g., orchestration patterns, tool calling, retrieval, planning) and how to evaluate them.
- Experience deploying and operating ML/GenAI systems in cloud-based infrastructures (e.g., containerization, CI/CD, monitoring, scalable services).
- Proficiency in Python and common ML frameworks (PyTorch, TensorFlow, Keras) with strong written and spoken English communication skills.
Benefits
- Flexible work arrangements
- Professional development
Job title
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Tech skills
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