Python Developer

• Use data and metrics to back up assumptions, recommendations, and drive decisions
• Collaborate with the Machine Learning team to efficiently provide recognition model updates and new releases
• Create, test, and improve APIs and SDKs that power the company's facial recognition models.
• Architect, build, and upgrade a software product suite based on SDKs and APIs.
• Develop computer vision applications for clients
• Architect, develop, and enhance data engineering pipelines such that billions of records of data can be processed efficiently for training and testing models
• Collaborate closely with the Machine Learning team to produce efficient models that are evaluated using the NIST FRVT test
• Assist in the creation of software components, systems, and features
• Attend standups, sprint planning, backlog grooming, code reviews, and other agile development events
• Scope and plan engineering activities and dependencies with management and stakeholders
• Mentor and train other members of the team on engineering best practices, such as design and coding standards

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a software engineer
• 5+ years of relevant work experience in building modern software products
• 3+ years of experience in architecting and building APIs
• 3+ years of experience working in a team environment collaborating and influencing all the stakeholders
• Demonstrable experience working with Python, Java, and Golang
• Nice to have some knowledge of C++
• Strong technical, analytical, and quantitative skills
• Demonstrated ability to grasp and debate technical concepts with internal and external partners, manage tradeoffs, and evaluate opportunistic new ideas
• High attention to detail and a track record of managing several competing priorities at the same time
• Polished communication style, both oral and written
• Comfortable working with people at all levels of the company, both technical and non-technical
• Knowledge in machine learning and neural networks, as well as tools such as PyTorch and TensorFlow, is desirable
• Knowledge of video streaming systems and large-scale implementations is nice to have
• Experience constructing and expanding data pipelines for efficiently processing and storing enormous amounts of data
• Nice to have direct experience porting SDKs or software between chipsets is a plus (Intel, Ambarella, Xilinx)