Machine Learning Engineer

Adobe; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

Adobe Canada in Toronto is seeking an ML Engineer to help build AI-powered search and recommendation features across Adobe's product lines. You will research, develop, and deploy ML models and contribute to full-stack features with a focus on privacy and ethical AI.

The role requires 3+ years of experience, strong Python skills, and background in NLP or content intelligence. A Masters/PhD is highly preferred, and Java experience is a plus. This is a fast-paced, impactful position.

Qualifications

• 3+ years of relevant experience
• Proficiency in Python; Java preferred
• Background in recommendations and search, NLP, and content intelligence models

Responsibilities

• Research, develop and implement ML models and search infrastructure for recommendation and retrieval use cases
• Background in recommendations and search. Knowledge of bandits, NLP, and/or content intelligence models
• Experience fine-tuning LLMs for specific learning tasks
• Experience deploying full-stack features to users in the areas of recommendations and/or search
• Develop robust methods to evaluate features using LLMs, ensuring ethical AI practices that reflect Adobe's standards

Skills

Python

Java

NLP

LLM fine-tuning

ML engineering

Education

Masters/PhD in CS/Statistics/Engineering

Tools

TensorFlow

PyTorch

ML infrastructure

Job description

AI-powered Recommendations, Search, and Generative AI-based guidance is a core part of Adobe's Cloud offering. Adobe Cloud enables customers to create and generate digital content, and Digital experiences. The Search, Discovery, and Content AI Team drives customer success for Adobe Express, Creative Cloud, and Document Cloud. Creative professionals and novice users need the quick discovery of digital assets from brushes to colors, images, videos, and beyond. They also need AI-powered assistance to discover the ingredients needed to complete their creative journey at scale.

We are building next-generation Agentic Recommendation features across Adobe's product lines. This includes novel context-based recommendations for creation tasks, full-stack features like developing creative artifacts from user input (e.g., user images, documents or QR codes), and next-generation content intelligence powering these features using personalization, style understanding, and innovative retrieval of assets at scale.

How can you participate?

We focus on developing innovative AI-powered search, recommendations, and assistive experiences using generative AI technologies across all modalities, including text, image, and videos, and create industry-leading experiences to improve creative efficiency for creators, marketers, and designers. We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring, and creating inventive AI technologies. This is an opportunity to make a huge impact in a fast-paced environment in a great company.

Expectations :

• Research, develop and implement ML models and Search infrastructure for recommendation and retrieval use cases
• Background in recommendations and search. Knowledge of bandits, NLP, and/or content intelligence models.
• Proficiency In Python. Additional Experience In Java Preferred.
• Experience fine-tuning LLMs for specific learning tasks
• Experience deploying full-stack features to users in the areas of recommendations and/or search
• Develop robust methods to evaluate features using LLMs, ensuring ethical AI practices that reflect Adobe's standards
• Masters' degree or PhD in computer science, statistics, engineering, or other relevant subject area highly preferred
• 3+ years of relevant experience required

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

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AI Use Guidelines for Interviews:

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.