Axon AI - CVML Tech Lead

The Axon AI - CVML Tech Lead plays a crucial role in turning R&D ideas into product features for cloud, devices, and robotics. Responsibilities include researching and developing advanced multi-modal data models, collaborating with cross-functional teams to design these models, and optimizing algorithms for various hardware architectures.

To qualify for the Axon AI - CVML Tech Lead position, candidates should have a PhD and at least 5 years of experience in computer science or a related field, specializing in ML algorithms, computer vision, or AI. Additionally, proven experience in programming, deep learning frameworks, and performance optimization for resource-constrained devices is necessary.

The work environment at Axon is fast-paced and collaborative, emphasizing teamwork and innovation. As an Axon AI - CVML Tech Lead, you’ll engage with diverse perspectives, foster growth, and contribute to meaningful projects that aim to improve safety and justice in society.

The Axon AI - CVML Tech Lead will utilize cutting-edge techniques in computer vision and machine learning, including advanced models for object detection, recognition, tracking, and scene understanding. Proficiency in Python, C/C++, and deep learning frameworks like TensorFlow or PyTorch is also essential.

The Axon AI - CVML Tech Lead contributes to R&D by exploring novel approaches to problems, evaluating model performance with real-world datasets, and facilitating experiments to validate model effectiveness. They also contribute to patent disclosures and technical publications, sharing their findings with the broader tech community.

When answering this question, discuss specific projects where you implemented computer vision algorithms, focusing on the types of challenges you faced and how you overcame them. Highlight any unique techniques you used and the impact your work had on the project's success.

Mention your methods for staying informed, such as reading academic journals, attending conferences, participating in online courses, or engaging with communities. Discuss the importance of integrating recent findings into your work.

Share a detailed example, emphasizing your leadership role, the project's objectives, the methodologies used, and the results achieved. Highlight how you effectively managed your team and facilitated collaboration.

List your skills in programming languages relevant to the position, such as Python or C/C++. Discuss your experience with deep learning frameworks like TensorFlow or Keras, and provide examples of applications you have developed using these tools.

Explain your strategy for model optimization, which may include techniques like pruning, quantization, or exploring architectural changes. Provide examples where your optimizations led to significant improvements in performance.

Discuss your awareness of the importance of diverse viewpoints in driving innovation and problem-solving. Provide examples of how you've fostered an inclusive environment in previous projects.

Use the STAR (Situation, Task, Action, Result) method to structure your answer, detailing the challenge you faced, the steps you took to resolve it, and the outcomes of your actions.

Discuss techniques for model evaluation and validation, such as cross-validation, testing against real-world datasets, and ongoing improvement loops based on performance metrics.

Share your insights on trends you see shaping the future, such as advancements in deep learning, ethical considerations, and how these will impact industries related to safety and justice.

Reflect on Axon’s mission to protect life, its focus on innovation, and your personal alignment with its values. Speak to your desire to contribute to significant technological advancements while fostering a collaborative and diverse work culture.