Senior Applied AI/ML Developer

Autodesk
Ontario, Montreal, Toronto, Quebec
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Technical leadership","Mentorship","Collaboration","Continuous learning","Agile problem-solving"]

Lead and contribute to the design, analysis, and delivery of data-driven solutions across Autodesk’s dedicated RAG programs. Apply expertise in testing, evaluation, and causal inference to plan end-to-end POCs and offline/online evaluation, then ship ML-powered features to users. Coordinate delivery with cross-functional stakeholders and provide technical leadership and mentorship, using hands-on NLP and ML capabilities to address customer and business needs.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Autodesk
Autodesk
1 month ago

Senior Applied AI/ML Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Lead and contribute to the design, analysis, and delivery of data-driven solutions across Autodesk’s dedicated RAG programs. Apply expertise in testing, evaluation, and causal inference to plan end-to-end POCs and offline/online evaluation, then ship ML-powered features to users. Coordinate delivery with cross-functional stakeholders and provide technical leadership and mentorship, using hands-on NLP and ML capabilities to address customer and business needs.
Location: Ontario, Montreal, Toronto, Quebec
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement machine learning capabilities that improve Autodesk’s RAG platforms.
  • •Perform statistical and data analysis to generate datasets for model training and development.
  • •Collaborate with team members to reach better solutions and advance ML practices.
  • •Provide technical leadership and mentorship to less-experienced team members delivering ML-powered features for the Digital Customer Platform.
  • •Translate business requirements into problems solvable with data, statistics, and machine learning, partnering with stakeholders to meet objectives.

Pay and Benefits

Equity and Bonus:Equity
Perks:Annual BonusEquity

Key Requirements

  • •3+ years of applicable work experience in machine learning.
  • •MS/M.Tech/M.Math or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics, or related fields.
  • •Hands-on experience with NLU and integrating traditional search techniques into RAG.
  • •Proficiency with the Python machine learning stack (e.g., Pandas, deep learning frameworks, traditional ML, probability calibration).
  • •Knowledge of experimental design and analysis of results; experience deploying and improving ML features in production.
Experience:3+ yearsMachine learningNLPRAGInformation retrievalProduction ML
Education:Master's
Skills:Technical leadershipMentorshipCollaborationContinuous learningAgile problem-solving
Tech Stack:PythonPandasDeep learning frameworksNLPRAGInformation RetrievalProbability calibrationCausal inference

Company Brief

Autodesk
Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Rafael, United States
Founded: 1982
Glassdoor
Glassdoor: 3.9
WebsiteLinkedInGlassdoor