Your Role: Deep Learning Research Engineer

We are seeking an exceptional Deep Learning Research Engineer to join our dynamic team and play a crucial role in revolutionizing precision foot and musculoskeletal care through digital solutions. In this role, you will harness your deep learning and computer vision expertise to tackle real societal challenges that impact the quality of life for tens of millions of people. Your contributions will have a daily, tangible impact, allowing you to witness the difference you make firsthand. At Hike, our culture of radical candor fosters open and constructive feedback, promoting rapid progress and continuous improvement. If you are passionate about making a meaningful difference in people's lives through your work, we invite you to join us..

Responsibilities

• Research and Development: Propose and explore novel deep learning algorithms and architectures to solve high impact problems for addressing foot and MSK health.
• Model Development and Optimization: Design, implement, and optimize deep learning models for tasks such as shape completion, VLM, pose alignment.
• Data Pipeline Management: Develop and maintain robust data pipelines, ensuring data quality and availability for training and testing models.
• Algorithm Implementation: Translate research ideas into practical, efficient algorithms and integrate them into production systems.
• Performance Evaluation: Conduct rigorous experiments to evaluate model performance and iterate on designs based on empirical results.
• Collaboration and Communication: Collaborate with cross-functional teams, including software engineers, product, design, and domain experts, to integrate your solutions into products.
• Code Quality and Documentation: Write clean, efficient, and well-documented code to support reproducibility and maintainability of research outputs.
• Mentorship and Team Building: Mentor junior researchers and engineers, providing guidance on best practices and fostering a collaborative research environment.
• Patent and Publication: Contribute to the intellectual property portfolio of the company by filing patents and publishing research findings in top-tier conferences and journals.

Ideal Candidate Profile

• Academic and Professional Excellence: Holds a PhD in Computer Vision, Machine Learning, or related fields with experience in AI, or a Master’s degree with significant and compelling industry experience. Also open to others with extremely compelling work experience. We heavily bias to real world industry experience.
• Hands-on Experience: Skilled in 3D reconstruction, shape completion, vision language models, object detection and segmentation, Gaussian splatting, network optimization, and SIM2Real.
• Tech Stack: Proficient with TensorFlow, PyTorch, TensorRT, and cloud computing platforms such as AWS.
• Passion for Accessibility: Committed to an accessibility-first approach, developing solutions that cater to a diverse audience, including those less technologically adept.
• Dynamic and Resilient: Has prior experience of working in a fast-paced start-up environment that is ever-changing and constantly expanding.
• Radically Candid: Comfortable with open, honest communication, and ready to both provide and receive feedback in a constructive, immediate manner.