Position Overview

The Reality Solutions group at Autodesk is responsible for the development of next generation technologies to increase the ease of use and value of reality capture data in building, construction and infrastructure workflows. We employ machine learning, computer vision and computational geometry to solve complex problems, tackle data and performance at massive scales, while hiding this complexity from our users when they use it in our desktop and cloud services.

We are seeking an experience engineer to help build out our reality data feature recognition and extraction platform. We are looking for a passionate, creative and collaborative person who can bring their experience of developing production-grade ML systems to the team. We value your knowledge in applying appropriate machine learning, deep learning, predictive modelling and optimization to prototype, build and deploy solutions to new problem spaces.

Responsibilities

• Research, design and building machine learning and deep learning solutions to new problems

• Lead machine learning based research with cross-functional teams to discover new business opportunities

• Advocate and implement the best practices, in terms of knowledge, technology and process, to ensure the team is working effectively to deliver customer value while also constantly learning to remain up to date in a rapidly changing domain

• Collaborate effectively with product management, engineering, design and other stakeholders to deliver products that have a quantifiable impact on Autodesk's business

Minimum Qualifications

• A degree in a related field (Data Science, Computer Vision, Computational Geometry) or equivalent professional experience

• Experience with Reality Capture technologies (Point clouds, 3D photogrammetry, large scale data & rendering)

• Proven track record overseeing machine learning projects at all stages, from initial conception to implementation and optimization

• Collaborative, respectful, and inclusive engineer who is interested to work in a diverse and global team

Preferred Qualifications

• Bachelors/MS/Ph.D. in a related field (Data Science, Computer Science, Statistics, or a quantitative-related field)

• 3+ years' experience in developing and shipping machine learning, natural language processing or deep learning models

• Experience in Python

• Experience in deep learning libraries, such as PyTorch and TensorFlow

• Experience working with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks (Airflow) and analytic environments (SageMaker)

• Experience working with AWS services like ECR, S3 & Lambda

• Experience in data pre-processing and building ML pipelines

• Strong communicator who can explain complex topics to both a technical and non-technical audience

• Excellent communication skills, project management skills, and technical management skills

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Learn More

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

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