Software Engineer, ML Infrastructure - (Remote - Canada)

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 companies is currently looking for a Software Engineer, ML Infrastructure in Canada.

This role is ideal for a data-focused engineer passionate about building scalable infrastructure to support machine learning and robotics at scale. As a key member of the ML Infrastructure team, you will help develop the tools and systems that enable robust ML model training, data curation, and real-time inference. You'll collaborate with autonomy engineers, data scientists, and operations teams to streamline data workflows, enhance training efficiency, and ensure the reliability of ML services. This is a great opportunity to work on cutting-edge robotics in a fast-moving environment where AI meets the real world.

Accountabilities:

• Design and maintain scalable data pipelines for ML feature extraction, annotation, and curation from high-volume sensor data
• Build and enhance active learning pipelines and ensure scalable deployment of training jobs and inference endpoints
• Develop orchestration and scheduling systems to optimize data workflows
• Collaborate cross-functionally to expand the autonomy data platform and improve data accessibility and efficiency
• Integrate with external annotation services to support high-volume, high-quality data labeling
• Implement CI/CD pipelines and Infrastructure as Code (IaC) to maintain system consistency and accelerate development
• Establish monitoring, alerting, and cost optimization tools to maintain platform stability and reliability
• Support ML engineers by streamlining their experimentation and deployment workflows
• Manage data storage and retention policies to balance accessibility and cost

Requirements

• Bachelor's or Master's degree in Computer Science, or equivalent experience with a focus on ML or data engineering
• 2+ years of experience building large-scale data or ML pipelines
• 1+ years of experience working with cloud platforms such as AWS, GCP, or Azure
• Strong programming skills in Python and experience with distributed computing systems
• Understanding of system design principles and scalable architecture
• Experience with orchestration tools like Airflow or Prefect is a plus
• Knowledge of databases (SQL and NoSQL) and familiarity with vector databases or RAG approaches is an advantage
• Familiarity with CI/CD tools, IaC frameworks, and big data technologies such as Apache Spark or Hadoop is a bonus

Benefits

• Competitive salary and performance-based incentives
• Remote-friendly work environment
• Flexible paid time off and vacation policy
• Health, dental, and vision coverage
• Opportunities to work on real-world robotics and AI problems
• Continuous learning and development opportunities
• Supportive and collaborative team culture
• Chance to work on impactful technology transforming urban mobility

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!