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LG Electronics USA, Inc. Senior AI Research Engineer in Toronto, Ontario

Senior AI Research Engineer

Location Toronto, Ontario

Department (Org 2) Advanced AI Lab E60018

Job Requisition 24627


LG Electronics R&D

Job Function:


At LG, we make products and services that make lives better, easier and happier through increased functionality and fun. Put simply, we offer the latest innovations to make “Life Good” – from home appliances, consumer electronics, vehicle components and mobile communications to business innovations in digital signage, air conditioning, solar and LED lighting. As a global leader, we strive for greatness in product leadership, market leadership and people leadership to realize our growth strategies.

Talk about a mantra. Life’s Good with LG!

Senior AI Research Engineer – Toronto

LG is looking to push the boundaries of AI to build innovative product and service solutions to realize LG’s global vision for a connected world. As a part of this initiative, LG has set up an Advanced AI organization in North America centered in Silicon Valley. To further this initiative, we are looking for a passionate and talented Senior Research Engineer for our Toronto AI Lab. The successful candidate will help transform and architect our AI cloud-based technology to support IoT and Connected Home initiatives.

You will work to support advanced AI research and aim to optimize iterative development of machine learning algorithms – making the process scalable, more accurate and more robust. You will design experiments, invent new algorithms, and lead prototyping initiatives. The successful candidate will have a leadership role on the team, and be responsible to drive impact and encourage best practices.

Principal Duties and Responsibilities:

  • Work with the team to help refine their concepts and ideas into a scope that can be rapidly produced as a prototype that they can see and use to help guide innovations

  • Provide and accept creative ideas to give transformational solutions

  • Manage the prototyping cycle end-to-end by working closely with key members

  • Research, develop and improve upon state-of-the-art papers in various AI/ML topics

  • Take ownership of projects and build proof-of-concepts (POCs) for future production and deployment purposes

  • Stay up-to-date on developments in AI technologies and propose long term research plans


  • Minimum Bachelor’s degree in Computer Science, Electrical Engineering, or related areas

  • A demonstrable track record of leading and developing novel algorithms, solutions, and delivering/deploying prototypes/projects

  • Deep knowledge of software development tools and methodologies with hands-on coding and application design experience

  • Experience with Agile development or similar methodologies for continuous product development and deployment

  • Strong knowledge and 3+ years experience with containerization tools such as Docker and container orchestration systems such as Kubernetes

  • Strong knowledge of large-scale cloud native Infrastructure (AWS preferred)

  • Good knowledge of database technologies, such as NoSQL and SQL

  • Experience with developing/testing ML systems at scale

  • Experience with deep learning frameworks (e.g., Keras, Tensorflow, PyTorch)

  • Software engineering experience in two or more of C/C++, Python, Scala, Java

Nice To Have:

  • Experience with Apache Kafka and Spark, Amazon Kinesis, S3 and EC2 is a big bonus

  • Experience with serverless computing platforms such as AWS lambda and Amazon SageMaker is a big bonus

  • Experience with distributed computing and streaming data processing is a big bonus

  • Experience working with edge-computing frameworks like, CoreML, Greengrass etc.