We are seeking a highly capable and driven TLM to join our team at Voxel. You will play a pivotal role in driving innovation, ensuring efficient operations, and advancing workplace safety through cutting-edge computer vision technologies.

What You'll Do

Technical Leadership: Lead a team of software engineers working on computer vision projects, specifically focused on improving workplace safety through perception systems.
Algorithm Development: Drive the development of computer vision algorithms and machine learning models to enhance Voxel's perception system.
Talent Management: Attract, grow, and retain a diverse pool of talent, providing technical direction and creating opportunities for career growth within the team.
Technical Guidance: Provide expertise and guidance on all technical aspects of development, including requirements, design, and implementation.
ML Ops Implementation: Integrate ML Ops practices to streamline model development, deployment, and monitoring processes.
Cross-functional Collaboration: Work closely with engineering partners and stakeholders to ensure seamless organizational alignment and integration of computer vision solutions.
Best Practices Implementation: Implement and enforce engineering best practices, ensuring the team follows a structured and efficient approach to their projects.
Product Development Oversight: Oversee the successful development and delivery of computer vision models and products that align with Voxel's vision and goals.
Performance Excellence: Foster a culture of excellence, collaboration, and continuous learning within the team.

Technical Skills Requirement

Computer Vision: In-depth knowledge and practical experience in computer vision techniques, including object detection, tracking, segmentation, and image recognition.
Machine Learning: Strong understanding of machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or similar.
Deep Learning: Proficiency in applying deep learning techniques, including CNNs, RNNs, and GANs, to real-world computer vision problems.
ML Ops: Experience implementing ML Ops practices to streamline model development, deployment, and monitoring.
Software Engineering: Hands-on experience with software development and proficiency in programming languages like Python or Java.
Cloud Technologies: Familiarity with cloud platforms (e.g., AWS, GCP) and experience deploying computer vision models in cloud environments.
Data Management: Expertise in data preprocessing, annotation, and management for computer vision projects.
Performance Optimization: Ability to optimize and improve the performance of computer vision models for real-time applications.
Agile Methodology: Experience working in an agile development environment and using agile principles to deliver projects effectively.

Qualifications

Technical Expertise: A proven track record of at least 7 years in computer vision and machine learning, with hands-on experience in algorithm development and software engineering.
Leadership Experience: Previous experience in a senior management or leadership role, overseeing and mentoring technical teams in a fast-paced environment.
Start-up Mindset: Demonstrated success in scaling and managing engineering organizations, preferably in a start-up or similar dynamic setting.
Communication Skills: Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Workplace Safety: Experience or strong interest in applying computer vision technologies to improve workplace safety.
Inclusivity and Diversity: A commitment to building an inclusive and diverse work environment that fosters innovation and creativity.
Agile Development: Experience working in an agile environment, delivering complex projects on time and within budget.
Technical Vision: Ability to provide technical leadership and direction while staying updated with the latest advancements in computer vision and ML technologies.

Voxel

Staff Tech Lead Manager - Perception

Bay Area Hybrid OR Remotefull-time$200K - $300k + Equity