Sr. Machine Learning Engineer, Toronto

Published 2022-05-23
Expires 2022-06-23
ID #1009097108
Sr. Machine Learning Engineer, Toronto
Canada, Ontario, Toronto,
Published May 23, 2022

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Per annum
Occupation: Sr. machine learning engineer
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Location: Toronto, Ontario Our client is on a mission to build human-like intelligence in machines. Since 2014, they have been paving the way for a world filled with more powerful and helpful AI systems. They bring together reinforcement learning, machine learning, and remote human guidance to create intelligent robots that solve real-world problems alongside humans in complex, changing environments like today's supply chain. The company is growing rapidly and we are searching for an individual for a highly-impactful role, has great attention to detail, is a proactive self-starter and interacts easily with all levels of a high-performance team. About this role: As a Senior Machine Learning Engineer, you will be a member of the Machine Learning Engineering & SW Platform team. You will design and develop back-end infrastructure to support ML efforts & product features. You will be contributing to design and architecture of complex systems that integrate various hardware components. You will bring up and balance considerations for immediate and future needs for scalability, reliability, security, and robustness. You will closely collaborate with researchers, engineers, and product managers in Toronto and other offices. Must Have Skills: Technical Skills: - Significant development experience in Python on Linux - Reliable production of quality software within time and resource constraints - Complete familiarity with modern software development processes such as design documentation, code reviews, CI/CD, testing, project management workflow, and source control conventions - Excellent analytical, problem-solving, communication, and organization skills - Bachelor's degree in Computer Science or equivalent experience Capabilities: - Familiar with a variety of Machine Learning tools and packages, understand how to properly set up experiments - Good understanding of the mathematical and statistical foundations of ML algorithms - Experience with various big data tools and cloud technologies that enable training algorithms at scale - Actively stay on top of applied machine learning and big data technologies - Desire to investigate potential algorithmic solutions for a variety of machine learning problems - Able to tackle varied problems, balancing a long-term mission with short-term requirements Nice to Have Skills: - Proficiency with Golang - Experience with deep learning packages such as Tensorflow or PyTorch - Background in robotics, computer vision, and deep learning

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    Information technology (IT) is the application of computers to store, study, retrieve, transmit, and manipulate data, or information, often in the context of a business or other enterprise. IT is considered a subset of information and communications technology (ICT). In 2012, Zuppo proposed an ICT hierarchy where each hierarchy level "contain[s] some degree of commonality in that they are related to technologies that facilitate the transfer of information and various types of electronically mediated communications". The term is commonly used as a synonym for computers and computer networks, but it also encompasses other information distribution technologies such as television and telephones. Several industries are associated with information technology, including computer hardware, software, electronics, semiconductors, internet, telecom equipment, and e-commerce. Humans have been storing, retrieving, manipulating, and communicating information since the Sumerians in Mesopotamia developed writing in about 3000 BC, but the term information technology in its modern sense first appeared in a 1958 article published in the Harvard Business Review; authors Harold J. Leavitt and Thomas L. Whisler commented that "the new technology does not yet have a single established name. We shall call it information technology (IT)." Their definition consists of three categories: techniques for processing, the application of statistical and mathematical methods to decision-making, and the simulation of higher-order thinking through computer programs.

    Ontario is one of the thirteen provinces and territories of Canada. Located in Central Canada, it is Canada's most populous province, with 38.3 percent of the country's population, and is the second-largest province in total area. Ontario is the fourth-largest jurisdiction in total area when the territories of the Northwest Territories and Nunavut are included. It is home to the nation's capital city, Ottawa, and the nation's most populous city, Toronto, which is also Ontario's provincial capital. Ontario is bordered by the province of Manitoba to the west, Hudson Bay and James Bay to the north, and Quebec to the east and northeast, and to the south by the U.S. states of (from west to east) Minnesota, Michigan, Ohio, Pennsylvania, and New York. Almost all of Ontario's 2,700 km (1,678 mi) border with the United States follows inland waterways: from the westerly Lake of the Woods, eastward along the major rivers and lakes of the Great Lakes/Saint Lawrence River drainage system. These include Rainy River, Pigeon River, Lake Superior, St. Marys River, Lake Huron, St. Clair River, Lake St. Clair, Detroit River, Lake Erie, Niagara River, Lake Ontario and the St. Lawrence River from Kingston, to the Quebec boundary just east of Cornwall. There is only about 1 km (0.6 mi) of land border, made up of portages including Height of Land Portage on the Minnesota border.Ontario is sometimes conceptually divided into two regions, Northern Ontario and Southern Ontario. The great majority of Ontario's population and arable land is in the south. In contrast, the larger, northern part of Ontario is sparsely populated with cold winters and heavy forestation.

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