Arteria AI Logo

Arteria AI

Machine Learning Engineer

Sorry, this job was removed at 04:02 p.m. (EST) on Thursday, Aug 07, 2025
In-Office
Toronto, ON, CAN
In-Office
Toronto, ON, CAN

Similar Jobs

6 Days Ago
In-Office or Remote
CA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.
Top Skills: Data PipelinesData ScienceData VisualizationGradient BoostingMachine LearningNeural NetworksProduction EnvironmentsSoftware ArchitectureStatistical ModelsTree-Based Models
3 Days Ago
In-Office
Senior level
Senior level
Digital Media • News + Entertainment
As a Staff ML Engineer, you will design and deploy low-latency ML pipelines, build scalable systems, mentor engineers, and drive experimentation in real-time ad delivery systems.
Top Skills: AirflowAWSCi/CdKubernetesMlflowPythonPyTorchSparkTensorFlow
4 Days Ago
In-Office
Toronto, ON, CAN
Mid level
Mid level
eCommerce • Retail
As a Backend & Applied AI/ML Engineer at eBay, you will design and implement backend services, integrate AI/ML models, and collaborate with cross-functional teams to enhance product functionality at scale.
Top Skills: Hugging FaceJavaKotlinNoSQLPythonPyTorchSparkSpring Boot

About Arteria AI

Arteria AI is made up of a passionate, rapidly-growing team of lawyers, data scientists, developers and designers, with a vision to build transformative, AI-enabled solutions for the business world. Our mission is to help companies transform how they interact with their most important documents—contracts.

With our award-winning technology in intelligent contracting, we’re looking for enthusiastic individuals who want to grow and win with us!


Responsibilities

As an ML engineer at Arteria AI, you’ll play a key role in developing products that are powered by machine learning as part of our enterprise SaaS platform for digital contracting.

This is a great role for anybody interested in making an impact and joining a friendly team that’s driven by innovation and growth. Our ideal candidate is a curious ML engineer, with strong problem-solving skills, and a deep understanding of how to productionize ML models. We are working as a team, and we are looking for great team players who enjoy solving challenging problems.


Qualifications

  • Knowledge of software development practices, version control, and collaboration tools (e.g., Git, GitLab, GitHub). 
  • Proven ability in Python programming and ML frameworks (PyTorch and Hugging Face) 
  • Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes). 
  • Experience in product level coding, and software principles 
  • Demonstrated experience in ML model serving by creating APIs (KServe, Ray Serve, Django, FastAPI, etc.) and experience in engineering, integrating, evaluating, deploying and operationalizing ML/DL models) 
  • Passion for challenges, learning new things, and solving problems in a clean and modular way in a fast paced startup environment. 
HQ

Arteria AI Toronto, Ontario, CAN Office

Toronto, Ontario, Canada

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account