Principal Software Engineer, AI/ML Platform
AMER - Canada - Ontario - Toronto - University Ave
Applications have closed
Autodesk
Autodesk is a global leader in design and make technology, with expertise across architecture, engineering, construction, design, manufacturing, and entertainment.Job Requisition ID #
24WD82577Position 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 created 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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About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data CI/CD Computer Science Databricks Data management Data pipelines Engineering Generative AI Hadoop Java Kubernetes LLaMA LLMs Machine Learning NoSQL Open Source Pandas Pipelines Python PyTorch Research Security Snowflake Spark SQL Statistics TDD TensorFlow XGBoost
Perks/benefits: Career development Competitive pay Transparency
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