About the job
About Us
At Metropolis, we are pioneering the future of artificial intelligence with cutting-edge computer vision technology, creating seamless, checkout-free experiences in the physical world. Our goal is to redefine parking, allowing millions of consumers to simply "drive in and drive out." We envision a world where transactions occur with unmatched speed and convenience, reminiscent of online experiences. Our ambition is to enable remarkable everyday experiences in living, working, and playing, ultimately giving us back our most valuable asset: time.
Your Role
We are on the lookout for a Senior Machine Learning Engineer to become a vital part of our expanding team. As a key member of the Advanced Technologies team, you will take on a significant role in the design, development, and deployment of state-of-the-art computer vision and recommendation models that drive our core products and solutions. You will tackle complex challenges in object detection, tracking, OCR, video analytics, and multi-modal systems. This position demands a unique combination of technical proficiency in data and machine learning, innovative problem-solving skills, and a passion for data-driven solutions.
Your Responsibilities
- Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, tracking, OCR, image search, and scene understanding.
- Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments.
- Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions.
- Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions.
- Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment.
- Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices.
- Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives.
- Mentor junior team members, providing technical guidance and fostering professional growth.
- Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning.
Qualifications
- PhD in Computer Science, Engineering, or a related field, or equivalent work experience.
- 5+ years of hands-on experience in machine learning and computer vision, with a proven track record of deploying models into production.
- Proficiency in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
- Strong understanding of algorithms and data structures, computer vision algorithms, and statistical analysis.
- Excellent problem-solving skills and a strong attention to detail.
- Ability to work collaboratively in a fast-paced, dynamic environment.