Remote Software Engineer, ML Infrastructure - (Remote - Canada)

Description:

• Jobgether is seeking a Software Engineer, ML Infrastructure for a partner company based in Canada.
• The role involves joining a fast-paced, cross-functional team to build infrastructure for AI-driven robotics.
• Responsibilities include designing and maintaining scalable data processing pipelines for curation, annotation, and ML feature extraction.
• The engineer will build and improve active learning systems, ensuring training and inference scalability.
• Development of orchestration and scheduling systems for seamless pipeline management is required.
• Collaboration with autonomy engineers to enhance data platform features and usability is essential.
• The role includes integrating with third-party annotation services for efficient dataset labeling.
• Implementation of infrastructure as code and CI/CD processes for platform reliability and agility is expected.
• Monitoring performance, ensuring cost-efficiency, and maintaining SLAs for data quality and availability are key tasks.
• The engineer will support ML engineers by improving development speed and data accessibility.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent experience is required.
• A minimum of 2 years of industry experience in data engineering or ML pipeline development is necessary.
• At least 1 year of experience with cloud platforms such as AWS, GCP, or Azure is required.
• Proficiency in Python and familiarity with distributed systems and scalable architecture is essential.
• A solid understanding of system design and big data concepts is necessary.
• 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 is required.
• Bonus points for experience with Apache Spark, Beam, or Hadoop.

Benefits:

• The position offers a competitive salary and equity opportunities.
• It features a remote-first work environment with flexible scheduling.
• Employees will work alongside an experienced and diverse team of engineers and researchers.
• The role is impactful, contributing to real-world robotic applications.
• Access to state-of-the-art tools and high-scale data infrastructure is provided.
• The company promotes a supportive culture focused on growth, learning, and collaboration.