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Machine Learning Engineer Intelligent Mobility System

Company: Tata Technologies
Location: Mountain View
Posted on: November 16, 2020

Job Description:

Title: Machine Learning Engineer - Intelligent Mobility System Location: Mountain View, CA (can be remote) Duration: Short Term with possibility of extension Education: Bachelor's Degree in Computer Science/Electrical Engineering, Math, or related field. Experience: Bachelors with at least 3-4 years of experience; Masters with at least 1-2 years of experience; Strong software engineering practices in Python with machine learning experience in a production setting. Description: - Autonomous vehicles, deep learning / artificial intelligence, edge computing, IoT are some of the trending buzz words in the automotive industry. Connected cars, which can be a combination of all of the above and much more, are a path breaking space with a lot of potential for new customer centric mobility and safety applications. Intelligent Mobility Systems (IMS) group in InfoTech Labs, is conducting research in connected and automated car technologies to build the future mobility system which includes the development of simulation platform, distributed and hierarchical machine learning system, developing and testing prototype connected and automated vehicle applications. - We are seeking passionate candidates for a machine learning/ deep learning software engineering role who will join as a machine learning research engineer helping the team build and demo innovative ML/DL applications. Responsibilities: - As a Machine Learning Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale). You will implement cutting-edge deep learning models accelerating model training performance for intelligent mobility system applications and tackling open problems together with researchers. Last but not least, you will deploy your algorithms and models in our test vehicles platform. - Implement machine learning/ deep learning models (supervised learning, reinforcement learning) for the following tasks: 2D/3D object detection, semantic segmentation, depth estimation, traffic (time or speed) prediction and driving behavioral learning etc. - Address large scale challenges in the machine learning development cycle, especially around distributed training and inferencing environment in the cloud and data engineering. - Manipulate high-volume, high-dimensionality, structured data from driving logs for training and testing deep networks. - Produce high quality tested code that enables large scale research and can be transferred to physical vehicles deployed in the real world. - Stay up to date on the state-of-the-art in Deep Learning ideas and software, in collaboration with our Researchers. - Coding, proof-of-concept (POC) and demo deep learning applications with our test vehicle platform. - Work in a multidisciplinary team and collaborate with other teams across the research lab. Skills: - Strong Machine Learning background with deep understanding of different types of machine learning algorithms (e.g., CNN, RNN, LSTM and Reinforcement Learning). Experience of training deep-learning models in an end-to-end fashion. - Project experience working with Pytorch, Tensorflow or other modern deep learning frameworks. - Computer Vision expertise not required - but recommended. - Proficient in Python and Unix is a minimum. Additional knowledge of C++ / CUDA is a plus, experience with AWS as well. - Clear grasp on basic Linear Algebra, Optimization, Statistics, and Algorithms. - Familiar with Python development co-system including numpy, scipy, pandas, sklearn etc and comfortable with development in Linux - Excellent verbal and written communication skills - (Optional) Real-time traffic and autonomous vehicle simulation experience with e.g. Unity, CARLA etc. - (Optimal) Implemented state-of-the-art models from research papers (share paper/repos if you can). - (Optimal) Experience with Deep Reinforcement Learning, Multi-agent distributed reinforcement learning - (Optional) Experience with computer vision and large-scale distributed training. - (Optimal) Publication in robotics/ML/CV conference Tata Technologies is a company dedicated to bringing better products to market for our customers and to the millions of people around the world who benefit from them. We are a leading Global provider of engineering services, serving the world's leading manufacturing companies. We offer a complete benefits package, including; medical, dental, vision, life insurance, short and long term disability, FMLA and 401K. We are currently expanding our Engineering footprint with several of our clients and have opportunities for those who are the best in their field. If you are looking to join a company that values their employees, stands behind their services and strives to make product development dreams a reality, look no further. Tata Technologies Inc. is an Equal Opportunity/ Affirmative Action employer. We provide equal employment opportunities to all qualified employees and applicants for employment without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability or any other legally protected status. We prohibit discrimination in decisions concerning recruitment, hiring, compensation, benefits, training, termination, promotions, or any other condition of employment or career development.

Keywords: Tata Technologies, Mountain View , Machine Learning Engineer Intelligent Mobility System, Other , Mountain View, California

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