Key Responsibilities

• Develop, train, and fine-tune machine learning models for vehicle history evaluation.
• Work with structured and unstructured automotive datasets to extract actionable insights.
• Optimize models for performance, scalability, and accuracy.
• Assist in deploying machine learning models to production environments.
• Collaborate with the engineering team to integrate AI-driven insights into Lexcar’s platform.
• Research and experiment with state-of-the-art AI techniques to improve existing models.

Qualifications

• 0-2 years of experience in machine learning or data science
• Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, or Scikit-learn).
• Experience working with data processing libraries (Pandas, NumPy) and databases (SQL, NoSQL).
• Understanding of machine learning fundamentals, including supervised and unsupervised learning.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and model deployment is a plus.
• Passion for AI, data-driven solutions, and automotive technology.
• Strong problem-solving skills and eagerness to learn in a fast-paced environment.

Contract Details

• Type: Internship Remote Position
• Salary: $38/hr

Why Join Lexcar?

• Gain real-world experience in applying machine learning to a high-impact industry.
• Work on AI-driven automotive solutions that provide real value to users.
• Be part of a passionate, fast-moving team where your contributions matter.

How to Apply

If you’re eager to kickstart your career in machine learning, apply with your resume, a brief cover letter (optional), and any relevant project links through LinkedIn.

Lexcar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us and help shape the future of AI-driven automotive transparency!