Join AV-Worx as a Senior ML Research Engineer to lead innovative machine learning research for autonomous vehicle systems. Drive advancements in AI algorithms that enhance safety and efficiency in next-generation transportation technologies.

AV-Worx is at the forefront of autonomous vehicle technology, leveraging advanced machine learning to create safer and more intelligent transportation solutions. As a Senior ML Research Engineer, you will play a pivotal role in our research team, designing and implementing state-of-the-art AI models for perception, decision-making, and control systems in self-driving vehicles.

Your responsibilities will include conducting cutting-edge research on topics such as neural networks for sensor fusion, predictive modeling for traffic scenarios, and scalable learning algorithms for edge computing. You will collaborate with cross-functional teams of engineers, data scientists, and domain experts to translate research into deployable features, ensuring our systems meet rigorous safety and performance standards.

We are seeking a passionate innovator who thrives in a dynamic environment, with a track record of pushing the boundaries of ML applications. This remote contract position offers the chance to contribute to transformative technology that impacts millions, while enjoying the autonomy to shape your work and advance your career in AI research.

• PhD in Computer Science, Machine Learning, or a related field with 5+ years of experience in ML research.
• Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
• Strong publication record in top-tier conferences like NeurIPS, ICML, or CVPR.
• Experience with deep learning, computer vision, and reinforcement learning applied to real-world problems.
• Excellent problem-solving skills and ability to collaborate in a fast-paced remote team environment.
• Familiarity with data pipelines, model deployment, and ethical AI considerations.

• Competitive monthly salary with performance bonuses.
• Fully remote work flexibility from anywhere in the US.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and flexible vacation policy.
• Opportunities for professional development, including conference attendance and training.
• Stock options and equity in a growing AI-driven company.