Senior Software Engineer, AI/ML Data Systems

Autodesk; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A global software company is looking for a Senior/Principal Software Engineer specializing in data engineering and machine learning. You will design core data systems and work on high-impact data solutions. The ideal candidate has over 5 years of experience, proficiency in programming (preferably Python), and a strong background in cloud platforms and backend development. This opportunity involves working closely with ML engineers and product teams to create scalable solutions.

Qualifications

• 5+ years of experience in data engineering, ML platform, or backend development roles.
• Proficiency in at least one modern programming language (Python preferred).
• Experience working with cloud platforms and distributed backend systems.

Responsibilities

• Design core data systems for machine learning and generative AI workflows.
• Build scalable backend systems for data ingestion and ETL pipelines.
• Work with cross-functional teams to deliver data and labeling solutions.

Skills

Data engineering

ML platform development

Backend development

Cloud platforms expertise

Distributed backend APIs

Tools

AWS

GCP

Azure

Docker

Kubernetes

Terraform

Job description

Overview

Position Overview

Join us to design the core data systems powering both traditional machine learning and cutting-edge generative AI/LLM workflows. As a Senior/Principal Software Engineer, you’ll specialize in one of two tracks:

• Data & Feature Store Infrastructure: Build scalable backend systems for data ingestion, batch/streaming ETL pipelines, feature stores, vector-enabled APIs, and data compliance

• Labeling & Human Feedback Systems: Design multimodal annotation platforms (text, image, audio, video, 3D), develop RLHF workflows (instruction tuning, output ranking), and drive LLM-assisted labeling innovations

You’ll work closely with ML engineers, MLOps, and product teams to deliver high-impact data and labeling solutions at scale. Reporting to the Head of AI & ML Platform, you’ll turn AI research into production-ready features that create real customer value.

Minimum Qualifications

• 5+ years of experience in data engineering, ML platform, or backend development roles

• Proficiency in at least one modern programming language (Python preferred)

• Experience developing and operating distributed backend APIs and SDKs

• Experience working with cloud platforms (AWS, GCP, or Azure), containers (Docker/Kubernetes), and infrastructure-as-code tools (e.g., Terraform)

Plus, one of the following specialization experiences:

Feature Store Track: (At least have experience with two of the following)

• Hands-on experience with feature store frameworks (e.g., SageMaker Feature Store, Feast, Tecton, Hopsworks), or operating vector database systems for serving LLM use cases

• Experience with batch and/or streaming data pipelines (e.g., Kafka, Flink, Spark, Ray) and orchestration tools (e.g., Airflow, Argo Workflow)

• Demonstrated experience at least in one of the data areas: data catalog, data validation, versioning, lineage, and security/compliance

Labeling Track: (At least have experience with ONE of the following)

• Proven working experience with labeling platforms (e.g., GroundTruth, Label Studio)

• RLHF/instruction tuning, or annotation workflow development

Preferred Qualifications

• Experience with LLM pipelines, including embeddings, retrieval-augmented generation (RAG), or prompt engineering

• Familiarity with labeling copilot tools, active learning, or managing hybrid annotation teams

• Knowledge of knowledge graphs or semantic data modeling