Software Engineer, ML Infrastructure - (Remote - Canada)

Jobgether; Canada; Remote; CAD 80,000 - 120,000; Full time

Job summary

A leading company is seeking a Software Engineer, ML Infrastructure, to join a dynamic team in Canada. This role involves building scalable systems for AI-driven robotics, focusing on data processing and machine learning workflows. Ideal candidates will have a strong background in data engineering, cloud platforms, and system design, contributing to innovative robotic applications in a collaborative environment.

Benefits

Competitive salary and equity opportunities

Remote-first work environment with flexible scheduling

Access to state-of-the-art tools and high-scale data infrastructure

Supportive culture focused on growth, learning, and collaboration

Qualifications

• Minimum 2 years of industry experience in data engineering or ML pipeline development.
• At least 1 year of experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with databases like BigQuery, Postgres, MongoDB.

Responsibilities

• Design and maintain scalable data processing pipelines.
• Build and improve active learning systems.
• Integrate with third-party annotation services.

Skills

Python

Data Engineering

Cloud Platforms

Distributed Systems

System Design

Big Data Concepts

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Airflow

Terraform

Jenkins

GitHub Actions

Job description

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for a Software Engineer, ML Infrastructure based in Canada.

In this role, you'll join a fast-paced, cross-functional team building the infrastructure that powers the future of AI-driven robotics. You'll work on scalable systems to process and manage vast amounts of sensor and training data, enabling high-performance ML workflows. From optimizing data pipelines and automating workflows to integrating with annotation tools and supporting robust CI/CD practices, you’ll play a critical role in accelerating the development and deployment of machine learning models. This is a unique opportunity to help shape the technical foundation of cutting-edge autonomy systems in a collaborative and mission-driven environment.

Accountabilities:

• Design and maintain scalable data processing pipelines for curation, annotation, and ML feature extraction
• Build and improve active learning systems and ensure training/inference scalability
• Develop orchestration and scheduling systems for seamless pipeline management
• Collaborate with autonomy engineers to enhance data platform features and usability
• Integrate with third-party annotation services for efficient dataset labeling
• Implement infrastructure as code and CI/CD processes for platform reliability and agility
• Monitor performance, ensure cost-efficiency, and maintain SLAs for data quality and availability
• Support ML engineers by improving development speed and data accessibility

• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent experience
• Minimum 2 years of industry experience in data engineering or ML pipeline development
• At least 1 year of experience with cloud platforms such as AWS, GCP, or Azure
• Proficient in Python and familiar with distributed systems and scalable architecture
• Solid understanding of system design and big data concepts
• Experience with tools such as Airflow, Terraform, Jenkins, or GitHub Actions is a plus
• Familiarity with databases (e.g., BigQuery, Postgres, MongoDB) and vector search systems
• Bonus: Experience with Apache Spark, Beam, or Hadoop

• Competitive salary and equity opportunities
• Remote-first work environment with flexible scheduling
• Work alongside an experienced and diverse team of engineers and researchers
• Impactful role contributing to real-world robotic applications
• Access to state-of-the-art tools and high-scale data infrastructure
• Supportive culture focused on growth, learning, and collaboration

Jobgether Hiring Process Disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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