ACS is looking for a Machine Learning Scientist to join our Central Machine Learning team.
As a Machine Learning Scientist, you will be responsible for delivering AI models for groundbreaking automation features for the construction industry. Your work will enable Autodesk customer to deliver safer projects, on budget & on time. As a part of Construction IQ team, our ML offering for the construction industry, you will be joining a team with a track record of delivering industry-first AI solutions.
We are looking for someone comfortable working with both cutting edge deep learning techniques and leading customer sessions. ML Scientists on our teamwork shoulder to shoulder with product managers, UX designers, engineers, and legal to identify new opportunities and deliver production quality ML features. As the central machine learning team @ ACS, we are responsible for scaling machine learning to multiple product teams and work on a wide variety of ML problems. i.e., the work is never dull.
Train/develop production-ready Machine Learning Models to power smart features in Autodesk products
Work with Autodesk customers and leadership to identify high impact areas for automation and application of machine learning
Own the end to end process for machine learning deliverables. From defining the project scope to model deployment
Contribute to engineering best practices for the machine learning team
Work with data annotators to build datasets for model training
Keep current with the latest trends and technologies to anticipate future development needs and requirements
Collaborate closely with various product groups throughout the company and across multiple geographic locations to deliver outstanding solutions
Work with cross-functional teams like Engineering, Project Management & User Experience
Team player, and responsible for owning and delivering your part
BS/MS/Ph.D. in Computer Science, Statistics, Engineering, or related field
2+ years of experience with machine learning, with a strong engineering background
Experience with Deep Learning techniques
Experience with one or more open-source Deep Learning frameworks (e.g. Pytorch, Keras, Tensorflow, etc.)
Proficiency in Python, SQL
Familiar with engineering best practices
Experience with Computer Vision
Experience with deploying and managing machine learning models in a production environment
Experience with building Big Data infrastructure and AWS/Terraform
PlanGrid, an Autodesk company, builds simple, beautiful software that construction teams love to use. As part of Autodesk Construction Solutions (ACS), whose mission is to seamlessly connect the office, trailer and the field across the entire construction project lifecycle, PlanGrid's mobile-first solutions empower general contractors, subcontractors, owners and architects to provide fast, accurate information to the field. With unparalleled adoption by field workers, PlanGrid is used on projects as the single source of truth for all construction data including drawings, photos, and other critical documents. As a result, critical workflows are streamlined, efficiency is improved and field teams can take on more work and get more done. PlanGrid's software and other Autodesk Construction Solutions products enable a complete data set to move seamlessly through each phase of a building's lifecycle from design and preconstruction to construction, turnover, and operations. PlanGrid is used on more 1.5 million construction projects in 100+ countries.
Join us as PlanGrid and ACS advance Autodesk's leadership in construction.
As part of GDPR compliance procedures, we have posted our Recruiting Privacy Notice on our website. Please also note that the advertised position is an opportunity with Autodesk, Inc. (https://www.autodesk.com/), as Autodesk recently acquired PlanGrid. Processing of your personal information as part of the job application process, and as part of Autodesk employment should a candidate be hired, will be handled by Autodesk pursuant to Autodesk's Candidate Privacy Statement, available at: https://damassets.autodesk.net/content/dam/autodesk/www/content/careers/autodesk_candidate_privacy_statement.pdf.