Autodesk, Electronic Arts, and BenchSci are looking to strengthen their AI teams.
Artificial intelligence (AI) and machine learning (ML) are rapidly becoming important elements in the technology world. Results from a global survey released this week found that nearly half of companies are implementing machine learning into their operations.
More organizations are turning to AI for competitive advantage, and with Canada leading the world in the concentration of AI talent, many of those companies are looking north for new jobs. is not surprising.
For more opportunities, check out all the organizations hiring on Jobs.BetaKit.
autodesk
This year, SaaS giant Autodesk is focusing on mass production of Autodesk Assistant, an AI-powered chatbot that aims to provide generative answers to a variety of customer queries. Autodesk is seeking a He ML Operations Engineer to join our Digital Experience and Customer Empowerment Data Science team in Toronto.
ML Operations Engineers are tasked with streamlining and automating ML workflows and deployments, as well as deploying ML capabilities to address complex challenges such as model development, testing, integration, release, and infrastructure management.
Applicants are expected to have a bachelor's or master's degree in computer science, statistics, engineering, economics, or a related field, although Autodesk welcomes applicants from non-traditional ML backgrounds. To do. This role requires his 0-3 years of relevant experience in software engineering, data engineering, or ML engineering and proficiency in Python machine learning stacks such as Pandas.
Autodesk is hiring for several more positions, which can be found on our job board.
electronic arts
Gaming giant Electronic Arts has invested heavily in AI and ML in recent years, with its CEO saying last year that gaming is poised to be “one of the biggest beneficiaries” of AI. . The company is currently hiring a Machine Learning Engineer for its data analytics team in Toronto.
This Machine Learning Engineer uses ML to implement in-game personalization through the development of global production systems. Responsibilities include maintaining MLOps and ML model creation best practices. ML model optimization. Design, build, and maintain production ML systems. Collaborate with team members to ensure ML models are deployed efficiently.
Candidates should have a bachelor's degree in computer science, data science, or a related field, as well as extensive knowledge of ML, MLOps practices, and creating ML models. Applicants should also have experience designing and maintaining ML systems, developing production-ready ML models, and be familiar with systems such as AWS SageMaker, GCP Vertex AI, Airflow, and Docker.
Electronic Arts is hiring for several more positions, which can be found on our job board.
bench science
Toronto-based AI and biomedical research startup BenchSci is hiring a machine learning engineer to join its platform architecture team. The remote role will involve high-level collaboration with his engineers and architects on staff to design solutions for BenchSci's efforts aimed at supporting life-saving research.
Machine learning engineers on staff design ML architectures across various teams to ensure the creation of scalable, robust, and production-ready solutions. You will also manage the creation, review, and approval of ML and data technical documentation to ensure accuracy of results and quality of performance. This engineer will also contribute to BenchSci's ML and data roadmap by evaluating the technical feasibility and impact of project proposals.
Applicants must have at least 8 years of professional experience in applying ML techniques to business challenges, of which at least 2 years must be at staff engineer level. Required skills include strong expertise in natural language processing and large-scale language models, proficiency in Python, and extensive experience with PyTorch.
BenchSci has several additional positions available and can be found on our job board.
