<h3>Principal Machine Learning Engineer, 3D </h3>Apply locations San Francisco, CA, USA AMER - Canada - Ontario - Toronto - University Ave time type Full time posted on Posted 30+ Days Ago job requisition id 24WD82633 Job Requisition ID # 24WD82633 Position Overview The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Principal Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products. You will report to a research manager in the Autodesk AI Lab team within Autodesk Research. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work. Responsibilities <ul><li>Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers </li><li>Develop new or improve existing ML models used in CAD software </li><li>Process data and analyze feature extractions </li><li>Design solutions based on error analysis </li><li>Present results to collaborators and leadership </li><li>Review relevant AI/ML literature to identify emerging methods, technologies, and best practices </li> </ul>Minimum Qualifications <ul><li>BSc or MSc in Computer Science, or equivalent industry experience </li><li>3+ years of software development experience </li><li>Proficiency with modern deep learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) as well as frameworks (e.g. PyTorch, Lightning, Ray etc.) </li><li>Experience with deploying machine learning models in production settings </li><li>Experience with version control, reproducibility, and writing reusable, testable code </li><li>Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry </li><li>Experience with cloud services and architectures (e.g. AWS, Azure) </li><li>Excellent written documentation skills to document code, architectures, and experiments </li> </ul>Preferred Qualifications <ul><li>Experience scaling ML training and data pipelines </li><li>Experience working with distributed systems </li><li>Knowledge of the design, manufacturing, AEC, or media & entertainment industries </li><li>Experience with Autodesk or similar products (CAD, CAE, CAM, etc.) </li> </ul>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! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $146,900 and $237,600. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: #J-18808-Ljbffr

**Job Requisition ID #**
24WD82633
**Position Overview**
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Principal Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products.
You will report to a research manager in the Autodesk AI Lab team within Autodesk Research. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.
**Responsibilities**
+ Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
+ Develop new or improve existing ML models used in CAD software
+ Process data and analyze feature extractions
+ Design solutions based on error analysis
+ Present results to collaborators and leadership
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
**Minimum Qualifications**
+ BSc or MSc in Computer Science, or equivalent industry experience
+ 3+ years of software development experience
+ Proficiency with modern deep learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) as well as frameworks (e.g. PyTorch, Lightning, Ray etc.)
+ Experience with deploying machine learning models in production settings
+ Experience with version control, reproducibility, and writing reusable, testable code
+ Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
+ Experience with cloud services and architectures (e.g. AWS, Azure)
+ Excellent written documentation skills to document code, architectures, and experiments
**Preferred Qualifications**
+ Experience scaling ML training and data pipelines
+ Experience working with distributed systems
+ Knowledge of the design, manufacturing, AEC, or media & entertainment industries
+ Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
**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 youre 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!
**Benefits**
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
**Salary transparency**
Salary is one part of Autodesks competitive compensation package. For U.S.-based roles, we expect a starting base salary between $146,900 and $237,600. Offers are based on the candidates experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Equal Employment Opportunity**
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**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).

**Job Requisition ID #**
24WD78709
**Digital Experience & Customer Empowerment Machine Learning Team (DXC-ML)@Autodesk**
The DXC-ML Team is responsible delivering Machine Learning features that transform the customer experience for Sales, Marketing, and Customer Success functions at Autodesk. We aim to help our customers, through conversation, personalization, and other intelligent features on our platform. Our team members work extensively with stakeholders across the company, with significant technology leadership and opportunity for impact. We work in a supportive and collaborative way, applying the latest technology and rigorous analysis to solve complex customer problems using ML.
**Position Overview**
Our focus is on optimizing e-commerce through advanced techniques in conversion, segmentation, and behavior targeting. This initiative aims to enhance customer experiences and drive better business outcomes. For instance, we are developing sophisticated models to personalize customer journeys, segmenting users based on behavior patterns, and implementing targeted marketing strategies. Other examples of our work include creating algorithms to predict customer purchasing behavior, designing dynamic content for personalized shopping experiences, and measuring the impact of these optimizations on overall sales and customer satisfaction.
Position Overview
As a Senior ML Engineer of ecommerce on the team, you will be responsible for the design, analysis, and delivery of data-driven solutions to significant business challenges across a program of work.
Reporting to the Director of E-commerce ML, this role is hands-on, focusing on advanced technical skills with the latest in NLP and ML technology. Our team culture is built on collaboration, mutual support, and continuous learning.
As a group, we continuously strive to improve our Machine Learning practices and stay abreast of trends and techniques relevant to our areas. Our team is committed to excellence in both the theory and practice of Machine Learning, and we encourage personal development and knowledge sharing among all team members.
Job Location: San Francisco
**Responsibilities**
+ Oversee the design and development of advanced ML models and algorithms to solve significant e-commerce optimization challenges, focusing on conversion, segmentation, and behavior targeting
+ Apply state-of-the-art ML technologies to create data-driven solutions that enhance customer experiences and drive business outcomes
+ Coordinate with multi-disciplinary stakeholder teams to ensure seamless delivery of ML-driven solutions, aligning technical efforts with business goals
+ Oversee the end-to-end lifecycle of ML projects, from initial data analysis and model development to deployment and performance monitoring
+ Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and mutual support within the team
+ Emphasize and implement agile, hands-on approaches in project execution, ensuring flexibility and responsiveness to evolving business needs
+ Stay up to date of the latest trends and techniques in Machine Learning, driving the continuous improvement of our ML practices and ensuring the team remains at the cutting edge of the field
+ Communicate complex technical concepts and project progress effectively to both technical and non-technical stakeholders, ensuring transparency and alignment
+ Implement robust testing and validation frameworks to ensure the accuracy, reliability, and scalability of ML models in production
+ Encourage and contribute to the team's knowledge sharing, fostering an environment that values innovative thinking and the exploration of new ideas in Machine Learning
**Minimum Qualifications**
+ 6+ years' of relevant experience
+ Deep understanding of e-commerce and digital marketing principles, including customer segmentation, user behavior analysis, and conversion optimization
+ Strong focus on delivering measurable results and value to the business, with a data-driven approach to decision-making
+ Proficiency in SQL and experience with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena
+ Advanced software engineering skills, including a strong understanding of data structures and algorithms
+ Experience with data pipelines and model serving in AWS, including MLOps practices, especially at scale
+ Strong background in designing and conducting experiments, including A/B testing, to validate ML models and strategies
+ Experience with causal inference methods to understand and model the effects of various interventions in e-commerce settings
+ Proficiency in developing and implementing models for behavior targeting to enhance personalized customer experiences and increase conversion rates
+ Knowledge of attribution modeling to accurately assess the impact of various marketing and optimization efforts
#LI-KJ1
**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 youre 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!
**Benefits**
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
**Salary transparency**
Salary is one part of Autodesks competitive compensation package. For U.S.-based roles, we expect a starting base salary between $119,800 and $206,690. Offers are based on the candidates experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Equal Employment Opportunity**
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**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).

**Job Requisition ID #** 24WD78709 **Digital Experience & Customer Empowerment Machine Learning Team (DXC-ML)@Autodesk** The DXC-ML Team is responsible delivering Machine Learning features that transform the customer experience for Sales, Marketing, and Customer Success functions at Autodesk. We aim to help our customers, through conversation, personalization, and other intelligent features on our platform. Our team members work extensively with stakeholders across the company, with significant technology leadership and opportunity for impact. We work in a supportive and collaborative way, applying the latest technology and rigorous analysis to solve complex customer problems using ML. **Position Overview** Our focus is on optimizing e-commerce through advanced techniques in conversion, segmentation, and behavior targeting. This initiative aims to enhance customer experiences and drive better business outcomes. For instance, we are developing sophisticated models to personalize customer journeys, segmenting users based on behavior patterns, and implementing targeted marketing strategies. Other examples of our work include creating algorithms to predict customer purchasing behavior, designing dynamic content for personalized shopping experiences, and measuring the impact of these optimizations on overall sales and customer satisfaction. Position Overview As a Senior ML Engineer of ecommerce on the team, you will be responsible for the design, analysis, and delivery of data-driven solutions to significant business challenges across a program of work. Reporting to the Director of E-commerce ML, this role is hands-on, focusing on advanced technical skills with the latest in NLP and ML technology. Our team culture is built on collaboration, mutual support, and continuous learning. As a group, we continuously strive to improve our Machine Learning practices and stay abreast of trends and techniques relevant to our areas. Our team is committed to excellence in both the theory and practice of Machine Learning, and we encourage personal development and knowledge sharing among all team members. Job Location: San Francisco **Responsibilities** + Oversee the design and development of advanced ML models and algorithms to solve significant e-commerce optimization challenges, focusing on conversion, segmentation, and behavior targeting + Apply state-of-the-art ML technologies to create data-driven solutions that enhance customer experiences and drive business outcomes + Coordinate with multi-disciplinary stakeholder teams to ensure seamless delivery of ML-driven solutions, aligning technical efforts with business goals + Oversee the end-to-end lifecycle of ML projects, from initial data analysis and model development to deployment and performance monitoring + Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and mutual support within the team + Emphasize and implement agile, hands-on approaches in project execution, ensuring flexibility and responsiveness to evolving business needs + Stay up to date of the latest trends and techniques in Machine Learning, driving the continuous improvement of our ML practices and ensuring the team remains at the cutting edge of the field + Communicate complex technical concepts and project progress effectively to both technical and non-technical stakeholders, ensuring transparency and alignment + Implement robust testing and validation frameworks to ensure the accuracy, reliability, and scalability of ML models in production + Encourage and contribute to the team's knowledge sharing, fostering an environment that values innovative thinking and the exploration of new ideas in Machine Learning **Minimum Qualifications** + 6+ years' of relevant experience + Deep understanding of e-commerce and digital marketing principles, including customer segmentation, user behavior analysis, and conversion optimization + Strong focus on delivering measurable results and value to the business, with a data-driven approach to decision-making + Proficiency in SQL and experience with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena + Advanced software engineering skills, including a strong understanding of data structures and algorithms + Experience with data pipelines and model serving in AWS, including MLOps practices, especially at scale + Strong background in designing and conducting experiments, including A/B testing, to validate ML models and strategies + Experience with causal inference methods to understand and model the effects of various interventions in e-commerce settings + Proficiency in developing and implementing models for behavior targeting to enhance personalized customer experiences and increase conversion rates + Knowledge of attribution modeling to accurately assess the impact of various marketing and optimization efforts #LI-KJ1 **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 youre 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! **Benefits** From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/ **Salary transparency** Salary is one part of Autodesks competitive compensation package. For U.S.-based roles, we expect a starting base salary between $119,800 and $206,690. Offers are based on the candidates experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. **Equal Employment Opportunity** At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. **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).

<h3>Principal Machine Learning Engineer, 3D</h3>Apply locations San Francisco, CA, USA AMER - Canada - Ontario - Toronto - University Ave time type Full time posted on Posted 30+ Days Ago job requisition id 24WD82633Job Requisition ID # 24WD82633Position OverviewThe work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Principal Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products.You will report to a research manager in the Autodesk AI Lab team within Autodesk Research. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.Responsibilities<ul><li>Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers</li><li>Develop new or improve existing ML models used in CAD software</li><li>Process data and analyze feature extractions</li><li>Design solutions based on error analysis</li><li>Present results to collaborators and leadership</li><li>Review relevant AI/ML literature to identify emerging methods, technologies, and best practices</li></ul>Minimum Qualifications<ul><li>BSc or MSc in Computer Science, or equivalent industry experience</li><li>3+ years of software development experience</li><li>Proficiency with modern deep learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) as well as frameworks (e.g. PyTorch, Lightning, Ray etc.)</li><li>Experience with deploying machine learning models in production settings</li><li>Experience with version control, reproducibility, and writing reusable, testable code</li><li>Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry</li><li>Experience with cloud services and architectures (e.g. AWS, Azure)</li><li>Excellent written documentation skills to document code, architectures, and experiments</li></ul>Preferred Qualifications<ul><li>Experience scaling ML training and data pipelines</li><li>Experience working with distributed systems</li><li>Knowledge of the design, manufacturing, AEC, or media & entertainment industries</li><li>Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)</li></ul>About AutodeskWelcome 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!BenefitsFrom health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/Salary transparencySalary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $146,900 and $237,600. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Equal Employment OpportunityAt Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.Diversity & BelongingWe 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
#J-18808-Ljbffr

Job Requisition ID 24WD81479 Position Overview Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship productsAutoCAD, Revit, and Construction Cloudand Forma, our new Industry Cloud. As a Machine Learning Engineer on the AEC Solutions team, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will work collaboratively to create and interpret design data that can enhance design and engineering workflows. Report: You will report to the Senior AI Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team. Location: We support hybrid work, and you work near our Boston, Massachusetts or Toronto, Canada offices. Responsibilities Collaborate with other engineers to develop data pipelines and architectures, and support tasks related to data collection, storage, processing, and analysis Write code for model training, testing, and deployment Monitor and troubleshoot machine learning models to ensure accuracy and performance Perform requirements analysis, working with team members of different levels and documenting solutions Work with large-scale data sets and manage data flow between systems Organize and process large batches of text and geometric data Communicate your findings through quantitative data analysis and qualitative visuals and insights Minimum Qualifications A MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field 3 years of experience in machine learning engineering or related field Domain expertise in training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow Strong fundamentals in 3D geometry and geometric computer vision Exposure to Cloud Computing in AWS and using the SageMaker Studio platform Good understanding of fundamental CS algorithms and their scaling behaviors Good coding skills covering procedural and data-analytics oriented languages (such as Python) Able to translate theoretical concepts into practical solutions and prototype implementations Preferred Qualifications Background in Architecture, Engineering, or Construction Practical experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods Exposure to cloud computing in AWS, Azure or Google Cloud Experience in parallel distribution of algorithms using platforms such as Spark or Hadoop Practical experience developing high scale machine learning algorithms The Ideal Candidate Is passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques Is comfortable working in newly forming ambiguous areas where learning and adaptability are key skills Easily collaborates with others and are comfortable with minimal direction Is constantly striving to learn new technologies and methodologies Seeks new ways to solve hard problems Is unafraid to put your ideas out there and fail fast At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers (Careers%20%3Ccareersautodesk.com%3E) .

Principal Machine Learning Engineer, 3D Apply locations San Francisco, CA, USA AMER - Canada - Ontario - Toronto - University Ave time type Full time posted on Posted 30+ Days Ago job requisition id 24WD82633
Job Requisition ID # 24WD82633
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Principal Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products.
You will report to a research manager in the Autodesk AI Lab team within Autodesk Research. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.
Responsibilities
Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
Develop new or improve existing ML models used in CAD software
Process data and analyze feature extractions
Design solutions based on error analysis
Present results to collaborators and leadership
Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
Minimum Qualifications
BSc or MSc in Computer Science, or equivalent industry experience
3+ years of software development experience
Proficiency with modern deep learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) as well as frameworks (e.g. PyTorch, Lightning, Ray etc.)
Experience with deploying machine learning models in production settings
Experience with version control, reproducibility, and writing reusable, testable code
Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
Experience with cloud services and architectures (e.g. AWS, Azure)
Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications
Experience scaling ML training and data pipelines
Experience working with distributed systems
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
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!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $146,900 and $237,600. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
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

#J-18808-Ljbffr

Principal Machine Learning Engineer, 3D  Apply locations San Francisco, CA, USA AMER - Canada - Ontario - Toronto - University Ave time type Full time posted on Posted 30+ Days Ago job requisition id 24WD82633
Job Requisition ID #  24WD82633
Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Principal Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products.
You will report to a research manager in the Autodesk AI Lab team within Autodesk Research. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.
Responsibilities
Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
Develop new or improve existing ML models used in CAD software
Process data and analyze feature extractions
Design solutions based on error analysis
Present results to collaborators and leadership
Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
Minimum Qualifications
BSc or MSc in Computer Science, or equivalent industry experience
3+ years of software development experience
Proficiency with modern deep learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) as well as frameworks (e.g. PyTorch, Lightning, Ray etc.)
Experience with deploying machine learning models in production settings
Experience with version control, reproducibility, and writing reusable, testable code
Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
Experience with cloud services and architectures (e.g. AWS, Azure)
Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications
Experience scaling ML training and data pipelines
Experience working with distributed systems
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
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!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $146,900 and $237,600. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
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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