Not specified Machine Learning Jobs in Boston

4

Senior Data Scientist

CarGurus
Greater Boston Area
5 days ago
+41
Analyze data, and design and implement data science or machine learning solutions. Aid the engineers who will implement your solutions in production. Communicate solutions to both a technical and a lay audience. E.g., what is it, how does it solve the problem, why is it reasonable, what could go wrong. Estimate the long-term conversion rate of each of hundreds of millions of keywords, combinations of demographics, and other forms of targeting. Analyze searches entered online and site activity to find new keywords and negative keywords. For any given monthly spend target and measure of efficiency (e.g., CPL, ROI), estimate the efficiency metric which will result in the target spend. Measure the impact of television and radio advertising on online advertising.

Computer Vision Scientist

Perceptive Automata
Greater Boston Area
1 week ago
+34
Background in Computer Vision and Machine Learning, either academic (PhD or Masters) or equivalent professional experience. Experience building custom CNNs with a high-level framework (Keras, Theano or TensorFlow). Experience building real-time applications using camera data. Experience working in a team on large-scale, production-quality Python and C/C++ projects. Experience working with large-scale datasets in variable format. Comfortable operating and developing in a Linux environment. High degree of self-motivation and initiative.

Machine Learning Engineer

Klaviyo
Greater Boston Area
1 week ago
+42
Our data science team is analyzing large data sets (we’re collecting billions of individual actions every month) and building products that enable our customers to grow faster and communicate more effectively with their customers. We’re looking for machine learning engineers to develop machine learning models and pipelines for research and production.

Computer Vision Scientist

TVision
Greater Boston Area
3 weeks ago
+21
The Role Prototype and evaluate algorithms for the next generation of TVision's computer vision technology, these include, but are not limited to - accurate object detection and recognition, object tracking, modeling human attention, and pose and gaze detection Develop automated, cloud-based frameworks for training and benchmarking deep learning models Implement production ready code following the full development process, and collaborate closely with the engineering team throughout the implementation phase Evaluate new hardware for implementing computer vision algorithms Remain on top of ongoing CV research and bring in new ideas to TVision's computer vision approach

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