Senior Applied Machine Learning Scientist

PowerToFly; Remote; CAD 106,000 - 157,000; Full time

Job summary

A leading software company is seeking a Senior Applied Scientist to develop machine learning models that influence customer engagement with their products. The successful candidate will work collaboratively to design machine learning pipelines and mentor junior engineers. Qualified individuals should have a quantitative degree along with extensive experience in machine learning frameworks and coding proficiency, especially in Python. The role offers a competitive salary and a comprehensive benefits package.

Benefits

Health, Dental, Vision, and Life insurance

Work-Life Balance

Paid volunteer time off

6-week paid sabbatical every 4 years

Employee Resource Groups

‘Week of rest’ at year’s end

Qualifications

• Experience with machine learning solutions design and deployment.
• Fluency in one or more programming languages (Python, Java).
• Familiarity with cloud computing (AWS).

Responsibilities

• Develop high-quality machine learning models for product strategy.
• Design machine learning pipelines with cross-functional leadership.
• Mentor junior team members and report to the Applied ML Manager.

Skills

Experience with Large Language Models (RAG, Generative AI)

Proficient in Python

Experience with data science toolkits (pandas, TensorFlow)

Clear communication of complex concepts

Education

MS/PhD in a quantitative field

Tools

SQL and/or NoSQL databases

Big data platforms (Hadoop, Spark)

Job description

Job Requisition ID: 25WD94082

Team at Autodesk

Position Overview

We are a worldwide leader in 3D design, engineering, and entertainment software. As a remote/hybrid Senior Applied Scientist on the Applied ML team, you will develop high‑quality machine learning models, conduct statistical analysis, and apply the latest technologies to solve complex problems. Your work will influence product strategy and impact how customers use Autodesk products.

Responsibilities

• You will focus on understanding customer usage and promoting Autodesk products, influencing development and strategy.
• You will design machine learning pipelines to enhance decision‑making and collaborate with cross‑functional leaders for data‑driven decisions.
• You will report to the Applied ML Manager, mentor junior team members, and help deliver key ML features.

Minimum Qualifications

• MS/PhD in a quantitative field: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or related areas.
• Experience with Large Language Models (RAG, Generative AI) and NLP.
• 4+ years of industry experience designing, analyzing, and deploying machine learning solutions.
• Experience working with relational SQL and/or NoSQL databases.
• Fluency with one or more programming languages: Python, Java, Scala, etc.
• Experience with data science toolkits such as pandas, Jupyter, scikit‑learn, TensorFlow, etc.
• Familiarity with machine learning techniques, e.g., classification, clustering, regularization, optimization, dimensionality reduction, etc.
• Proficient in writing high‑quality, well‑documented, scalable code, with a preference for Python.
• Experience with big data platforms (Hadoop, Spark, Hive).
• Clear communication of complex concepts to non‑technical audiences and effective presentation of data.
• Familiarity with cloud computing (AWS).
• Experience with recommender systems.

Preferred Qualifications

• Initiative to take on big ideas and transform them into actionable insights through data mining.
• Experience with MLOps and optimization of ML workflows.
• Led research resulting in publications.

Salary Transparency

For Canada‑BC based roles, the starting base salary ranges between $106,500 and $156,200. Offers vary by experience and location, and may exceed this range. Compensation may additionally include annual bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Benefits

• Insurance: Health, Dental, Vision, Life
• Work‑Life Balance
• Paid volunteer time off
• 6‑week paid sabbatical every 4 years
• Employee Resource Groups
• “Week of rest” at year’s end