Technical Program & Project Management Senior Associate

Title: AI/ML Systems Engineer

Duration: 12 Months 

Location: Hybrid / 4 days per week in office

Salary Range: Competitive, based on experience

Introduction

At our company, we believe that freedom of movement drives human progress. With our exciting plans for the future of mobility, we offer a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. Modern vehicles are increasingly software-defined, connected, and intelligent. Delivering a best-in-class ownership and service experience now depends on our ability to detect, understand, diagnose, and resolve complex software and electronics issues quickly and accurately.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Science, or related field.
• 3-6 years of experience in AI/ML engineering, embedded software, systems engineering, cloud engineering, or related areas.
• Strong academic foundation in AI/ML engineering with practical familiarity in machine learning, LLMs, retrieval workflows, inference systems, model evaluation, and data pipelines.
• Strong proficiency in Python.
• Ability to translate ambiguous problem statements into structured technical requirements and system behavior.

Preferred Skills & Qualifications

• Hands-on experience with LLMs, semantic retrieval, vector search, ranking systems, agent-based workflows, or decision-support systems.
• Experience with PyTorch, TensorFlow, scikit-learn, LangChain, Vertex AI, BigQuery, or similar AI/ML and cloud tools.
• Familiarity with embedded software systems, electronic control modules, diagnostics, or connected vehicle technologies.

Day-to-Day Responsibilities

• Help define system-level requirements, interfaces, and workflows for the End to End Software Diagnostics & Observability initiative.
• Support development of AI-powered embedded vehicle diagnostics capabilities that improve issue detection, case intake quality, root-cause isolation, and guided repair.
• Work across embedded, cloud, data, and AI/ML domains to connect vehicle diagnostics with intelligent reasoning and observability workflows.
• Participate in system integration, issue triage, root-cause analysis, and cross-functional technical problem solving.
• Support rapid iteration, testing, and deployment of AI-enabled diagnostic capabilities into engineering and non-production environments.

For immediate consideration please click APPLY to begin the screening process with Alex.