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Company: Autodesk
Location: Toronto, ON
Job description: Job Requisition ID #
23WD74035
About the Digital Experience & Customer Empowerment Data Science Team (DXC-DS)
The DXC-DS 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.
Our 2024 focus is on the Autodesk Assistant, an LLM-driven, Universal Chatbot intended to provide generative answers to a wide range of our customers’ inquiries. This system is in production and already driving rich customer conversations and better outcomes. Other examples of our work include models for routing customer queries to agents, designing effective scripts for our support chatbot, and measuring the impact of automation on customer forums.
Position Overview
As Senior Principal ML Engineer on the team, you will be responsible for leading the design, analysis, and delivery of data-driven solutions to significant business challenges across a program of work. Senior Principal ML Engineers operate at a programmatic scale, taking responsibility for significant technical solutions and coordinating delivery with multiple stakeholder teams.
Reporting to the Senior Manager on the team, this role combines the direct management of a number of Machine Learning Engineers with hands-on technical skills.
Our team culture is built on collaboration, mutual support, and continuous learning. As a Sr Principal MLE, you will provide technical guidance and thought leadership for the team and across the company. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas.
Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.
Responsibilities
Lead, mentor, develop, and manage less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform
You will develop a program of work, partnering with stakeholders, to solve strategic business objectives across a range of horizons
Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning
You will design and implement Machine Learning capabilities that improve Autodesk’s eCommerce & Customer platforms
You will perform statistical and data analysis and exploration to generate datasets for model training and development
Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice
Minimum Qualifications
MS or PhD in Computer Science, Statistics, Engineering, Economics, or related field We also welcome applicants from non-traditional ML backgrounds
5+ years of applicable work experience in ML
2+ years managing or leading an ML team
Proficiency with the Python Machine Learning stack, e.g. Pandas, etc
Knowledge of experimental design and analysis of results
Demonstrate experience with applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)
Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production
Demonstrate experience working in cross-functional teams to deliver ML solutions at scale
Preferred Qualifications
Familiarity with Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents)
Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications
SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena
Advanced software engineering skills including data structures and algorithms
Experience with data pipelines and model serving in AWS
Experience with MLOps, especially on AWS, at scale
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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:
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Autodesk is looking for a Senior Principal ML Engineer to join their Digital Experience & Customer Empowerment Data Science Team. The team is responsible for transforming customer experience through machine learning features for sales, marketing, and customer success functions. The focus for 2024 is on the Autodesk Assistant, an AI-driven chatbot. The Senior Principal ML Engineer will lead the design, analysis, and delivery of data-driven solutions, manage a team of machine learning engineers, and work closely with stakeholders to solve strategic business objectives. The ideal candidate will have a degree in a relevant field, 5+ years of ML experience, and proficiency with Python machine learning stack. Familiarity with large language models and experience with NLP and big data technology are preferred qualifications. Autodeskers take pride in their culture of diversity and belonging. Compensation is competitive and based on experience and location. Internal candidates should apply internally.
Title: Recreation Facilities Attendant – Casual
Location: Richmond, BC, Canada
Job Description:
The City of Richmond is currently looking for a Recreation Facilities Attendant to join our team on a casual basis. The successful candidate will be responsible for ensuring the cleanliness, safety, and security of the facility, as well as providing excellent customer service to all patrons.
Key Responsibilities:
– Clean and maintain facility areas, including washrooms, changerooms, and other public spaces
– Perform routine maintenance tasks, such as changing light bulbs, fixing minor equipment issues, and performing basic repairs
– Provide customer service to facility users, including answering questions, providing information, and addressing concerns
– Ensure the safety and security of the facility by monitoring activities, enforcing rules and regulations, and responding to emergencies as needed
– Assist with the setup and takedown of equipment and supplies for various programs and events
– Complete daily checklists and reports to track facility maintenance and customer service activities
– Other duties as assigned
Qualifications:
– High school diploma or equivalent
– Previous experience in a customer service or facilities maintenance role is an asset
– Knowledge of basic cleaning and maintenance techniques
– Strong communication and interpersonal skills
– Ability to work independently and as part of a team
– Physical ability to perform the required tasks, including lifting, bending, and standing for extended periods
This is a casual position with flexible hours, including evenings and weekends. The successful candidate will be required to complete a Criminal Record Check and provide a current First Aid and CPR certification.
We thank all applicants for their interest; however, only those selected for an interview will be contacted. The City of Richmond is an equal opportunity employer.
Expected salary:
Job date: Fri, 19 Jan 2024 04:44:31 GMT
