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Job Title: Machine Learning Engineer

Location: Hybrid - Greenville, SC


About Us

At AxionDrive, we specialize in pioneering artificial intelligence solutions tailored for the automotive industry. Our cutting-edge technologies redefine driving experiences, enhancing safety, efficiency, and connectivity on the road.

Founded by a team of passionate engineers and AI experts, AxionDrive is committed to pushing the boundaries of what's possible in autonomous driving and vehicle intelligence. Greenville serves as our hub for research, development, and collaboration with industry leaders to shape the future of mobility.

Driven by our core values of innovation, reliability, and safety, AxionDrive strives to empower automotive manufacturers and consumers alike with advanced AI solutions that transform everyday journeys into seamless and intelligent experiences.

Join us on the journey towards a smarter, safer, and more connected automotive future with AxionDrive.


Position Overview

AxionDrive is seeking a skilled and innovative Machine Learning Engineer to join our forward-thinking team. As a Machine Learning Engineer, you will be at the forefront of developing and implementing state-of-the-art AI models that enhance the capabilities of our automotive solutions. This hybrid role requires a blend of remote work and in-person collaboration at our Greenville, SC office.


Responsibilities

  • Design, develop, and deploy machine learning models and algorithms tailored for autonomous driving and vehicle intelligence applications.

  • Collaborate with cross-functional teams including data scientists, software engineers, and product managers to integrate AI solutions into our products.

  • Conduct data analysis and preprocessing to ensure high-quality input for model training.

  • Implement and optimize machine learning pipelines, ensuring efficient and scalable solutions.

  • Stay current with the latest advancements in machine learning and AI, applying new techniques and technologies to improve our offerings.

  • Perform rigorous testing and validation of models to ensure reliability and performance in real-world conditions.

  • Contribute to the continuous improvement of our AI infrastructure and tools.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

  • 3+ years of experience in machine learning, with a strong focus on practical applications in the AI or automotive industry.

  • Proficiency in programming languages such as Python, C++, or Java.

  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.

  • Solid understanding of data structures, algorithms, and statistical methods.

  • Familiarity with cloud platforms and tools for machine learning (e.g., AWS, Azure, Google Cloud).

  • Excellent problem-solving skills and the ability to work collaboratively in a hybrid environment, with periodic travel to Greenville, SC.

  • Passion for AI technology and its transformative potential in the automotive sector.

Compensation

  • Competitive salary ranging from $165,000 to $195,000 per year.

  • Comprehensive benefits package including health, dental, vision, and retirement plans.

  • Flexible work arrangements supporting a hybrid model.





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