Robert Half Lead Machine Learning Engineer in Boston, Massachusetts
Robert Half is looking for a Lead Machine Learning/Computer Vision Engineer to join an early stage proptech startup here in Boston. They use cutting-edge artificial intelligence and computer vision to convert everyday real estate photos into actionable data. This is an opportunity to get on the ground floor with a fast-paced team delivering revolutionary solutions to a long-established industry.
Identify, acquire, generate, process and/or prepare relevant datasets.
Research and develop AI/DL/ML algorithms to solve challenging computer vision tasks
Validate algorithms and/or models in a mathematically disciplined and statistically meaningful manner.
Productionize algorithms to solve business problems.
Develop clear, commented and understandable code for integration into production systems.
Generate and present analysis results and reports tailored to target audience (scientists, software engineers, business strategists, investors, etc.).
Collaborate with fellow product engineers to put the AI model in product pipeline and implementation.
7+ years of experience with deep learning and computer vision. Experience with application in a product that has been commercialized.
The ability to research and develop novel algorithms to solve cutting edge computer vision problems, such as semantic segmentation, object recognition, image/video understanding, product recommendation, Approximate Nearest Neighbor/ KNN indexes, photogrammetry, and SLAM.
Strong background in applied mathematics, statistics and probability.
Deep familiarity with latest Deep Learning and Computer Vision techniques and libraries.
Deep familiarity with Python, AWS, Docker, and comfortable with deep learning frameworks like pytorch, tensorflow, and keras
Deep familiarity in handling and processing images.
Requirements Python, Python Flask, TensorFlow, TensorFlow, Keras, Applying Machine Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Libraries, Machine Learning Methods, Amazon Web Services (AWS)
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