Principal Software Engineer, AI/ML Platform

Principal Software Engineer, AI/ML Platform

23 Oct
|
Autodesk
|
Toronto

23 Oct

Autodesk

Toronto

Job Requisition ID #
24WD82577 Position Overview
We are seeking a dynamic and enthusiastic principal software engineer to develop our next-generation AI/ML platform used in the development of Autodesk’s suite of products and services. Join our dynamic and rapidly expanding team to help build innovative capabilities that enable faster and more secure development of machine learning and generative AI solutions, bolstering the intelligence of Autodesk software products and services. You will collaborate with research and product engineering from various domains including design, construction, manufacturing, and media & entertainment to deliver the platform that supports full AI/ML development lifecycle.

Responsibilities






Innovative System Design: Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development lifecycle

Automation and Streamlining: Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness

Workflow Automation: Develop comprehensive systems to automate and optimize laborious processes, integrating them seamlessly into our platform to streamline operations

ML Solution Deployment: Develop tools for building and deploying ML artifacts in production environments, facilitating a smooth transition from development to deployment

Big Data Management: Automate and orchestrate tasks related to managing big data transformation and processing, building large-scale data stores for ML artifacts

Scalable Services: Design and implement low-latency, scalable prediction, and inference services to support the diverse needs of our users

Cross-Functional Collaboration:





Collaborate across diverse teams, including machine learning researchers, developers, product managers, software architects, and operations, fostering a collaborative and cohesive work environment

Architectural Leadership: Take ownership of critical components of the platform, providing architectural direction, and contributing to the overall success of the AI/ML Platform

Minimum Qualifications
BSc in Computer Science, or equivalent practical experience

Over 8 years of experience in software development and engineering, with a solid record of delivering production systems and services

Expertise in programming languages such as Python, Java, Go, scripting languages and SQL







Demonstrated problem-solving skills with the ability to break down problems into manageable components

In-depth experience with Amazon AWS (Amazon Web Services) or Azure cloud technologies

Excellent track record in scalable system design and distributed software architecture

In-depth experience working with big data technologies, including NoSQL, Hadoop, Spark, Hive, and data pipelines

Strong expertise in data platforms , encompassing the design and implementation of scalable and efficient data storage, retrieval, and processing systems

Excellent communication and collaboration skills, fostering teamwork and effective information exchange

Familiarity with agile development methodologies, including CI/CD & test-driven development

Working knowledge with cloud data processing,





training, deployment , or operations, such as Snowflake or Databricks

Working knowledge of cloud networking principles and their security implications for organizations holding sensitive data

Preferred Qualifications
Exposure to deploying ML-enabled projects and solutions to production environments

Familiarity with Machine Learning Operations practices

Exposure to open-source Large Language Models on Hugging Face like Llama & Mixtral

Exposure to ML libraries such as PyTorch, TensorFlow, XGBoost, Pandas, and ScikitLearn

Exposure to statistical analysis

Past collaboration with data scientists and researchers







Hands-on experience building on Kubernetes centric infrastructure and CI/CD processes

Hands-on experience automating vulnerability fixes and working with security teams at large enterprise companies

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▶️ Principal Software Engineer, AI/ML Platform
🖊️ Autodesk
📍 Toronto

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Principal Software Engineer, AI/ML Platform

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