Senior Software Engineer, AI/ML Data Systems

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

Job summary

A leading software company in Metro Vancouver is seeking a Senior/Principal Software Engineer to design core data systems for machine learning and generative AI workflows. This role involves building scalable backend systems and collaborating closely with ML engineers. Ideal candidates will have over 5 years of experience in data engineering, with strong programming skills in Python. A comprehensive benefits package is offered.

Benefits

Comprehensive benefits package

Annual cash bonuses

Stock grants

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, and infrastructure-as-code tools.

Responsibilities

• Design and implement scalable feature engineering systems for both batch and streaming computation.
• Build and maintain low-latency online feature serving systems.
• Develop and maintain monitoring systems for feature freshness and data drift.
• Integrate feature management solutions with vector databases.

Skills

Data Engineering

ML Platform Development

Backend Development

Distributed Systems

Cloud Platforms

Tools

Python

Docker

Kubernetes

Terraform

Job description

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.

Responsibilities

Choose one track to focus on:

Data & Feature Store Infrastructure

• Design and implement scalable feature engineering systems for both batch and streaming computation

• Build and maintain low-latency online feature serving systems with consistency between training and inference

• Develop and maintain monitoring systems for feature freshness, data drift, and data quality

• Integrate feature management solutions with vector databases to support embeddings and retrieval-augmented generation (RAG) workflows

• Ensure compliance, lineage, and best practices for infrastructure as code

Labeling & Human Feedback Systems

• Build and scale annotation platforms for diverse data types: text, image, video, audio, and 3D

• Develop workflows for LLM alignment, including instruction tuning and RLHF (Reinforcement Learning from Human Feedback) output ranking

• Embed LLM-assisted labeling features such as auto-labeling, policy checking, and active learning

• Drive annotation quality through processes such as inter-annotator agreement, gold standard samples, and anomaly detection

• Manage and scale internal/external labeling teams while maintaining secure data integration

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 DEUX 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 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

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency / Transparence salariale

Salary is one part of Autodesk’s compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging / Diversité et appurtenance

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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