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Senior Software Engineer, AI/ML Data Systems
Autodesk
Specialization in data & feature store infrastructure or labeling & human feedback systems for AI/ML data systems.
14d ago
Experienced (8-12 years), Intermediate (4-7 years)
Full Time
Montreal, Quebec, Canada
Office Full-Time
Company Size
11,600 Employees
Service Specialisms
Design
Engineering
Construction
Architecture
Consulting
Product Development
Technology Solutions
Software Development
Sector Specialisms
Building Design
Construction
Automotive
Building Product Manufacturing
3D Animation
Architecture
Engineering
Construction Professionals
Role
What you would be doing
monitoring systems
infrastructure compliance
llm workflow
annotation platforms
feature engineering
vector integration
- Develop and maintain monitoring systems for feature freshness, data drift, and data quality
- Ensure compliance, lineage, and best practices for infrastructure as code
- Développer des workflows pour l'alignement LLM, y compris le réglage des instructions et le classement des résultats RLHF (apprentissage par renforcement à partir du feedback humain)
- Data & Feature Store Infrastructure: Build scalable backend systems for data ingestion, batch/streaming ETL pipelines, feature stores, vector-enabled APIs, and data compliance
- Develop workflows for LLM alignment, including instruction tuning and RLHF (Reinforcement Learning from Human Feedback) output ranking
- Drive annotation quality through processes such as inter-annotator agreement, gold standard samples, and anomaly detection
- Integrate feature management solutions with vector databases to support embeddings and retrieval-augmented generation (RAG) workflows
- Build and scale annotation platforms for diverse data types: text, image, video, audio, and 3D
- Manage and scale internal/external labeling teams while maintaining secure data integration
- Développer et maintenir des systèmes de surveillance pour la fraîcheur des fonctionnalités, la dérive des données et la qualité des données
- Build and maintain low-latency online feature serving systems with consistency between training and inference
- Intégrer des solutions de gestion des fonctionnalités avec des bases de données vectorielles pour prendre en charge les workflows d'intégration et de génération augmentée par la récupération (RAG)
- 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
- Systèmes d'étiquetage et de feedback humain : vous concevrez des plateformes d'annotation multimodales (texte, image, audio, vidéo, 3D), développerez des workflows RLHF (ajustement des instructions, classement des résultats) et piloterez des innovations en matière d'étiquetage assisté par LLM
- Design and implement scalable feature engineering systems for both batch and streaming computation
What you bring
cloud platforms
docker/kubernetes
infrastructure as code
feature store
python
rlhf/instructions
- Connaissance des outils de copilotage de l'étiquetage, de l'apprentissage actif ou de la gestion d'équipes d'annotation hybrides
- Expérience de travail avec des plateformes cloud (AWS, GCP ou Azure), des conteneurs (Docker/Kubernetes) et des outils d'infrastructure en tant que code (par exemple, Terraform)
- RLHF/réglage des instructions ou développement de workflows d'annotation
- Familiarity with labeling copilot tools, active learning, or managing hybrid annotation teams
- Au moins 5 ans d'expérience dans l'ingénierie des données, les plateformes ML ou le développement backend
- Expérience professionnelle avérée avec des plateformes de labellisation (par exemple, GroundTruth, Label Studio)
- Concevoir et mettre en œuvre des systèmes d'ingénierie des fonctionnalités évolutifs pour le calcul par lots et en continu
- Embed LLM-assisted labeling features such as auto-labeling, policy checking, and active learning
- 5+ years of experience in data engineering, ML platform, or backend development roles
- Experience developing and operating distributed backend APIs and SDKs
- Experience with batch and/or streaming data pipelines (e.g., Kafka, Flink, Spark, Ray) and orchestration tools (e.g., Airflow, Argo Workflow)
- Gérez et faites évoluer les équipes d'étiquetage internes/externes tout en maintenant une intégration sécurisée des données
- RLHF/instruction tuning, or annotation workflow development
- Demonstrated experience at least in one the data areas: data catalog, data validation, versioning, lineage, and security/compliance
- 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
- Construire et maintenir des systèmes de service de fonctionnalités en ligne à faible latence, avec une cohérence entre l'entraînement et l'inférence
- Expérience des pipelines de données par lots et/ou en streaming (par exemple, Kafka, Flink, Spark, Ray) et des outils d'orchestration (par exemple, Airflow, Argo Workflow)
- Expérience avec les pipelines LLM, y compris les intégrations, la génération augmentée par la récupération (RAG) ou l'ingénierie de prompts
- Proficiency in at least one modern programming language (Python preferred)
- Proven working experience with labeling platforms (e.g., GroundTruth, Label Studio)
- Construire et faire évoluer des plateformes d'annotation pour divers types de données : texte, image, vidéo, audio et 3D
- Expérience avérée dans au moins un des domaines suivants : catalogue de données, validation des données, gestion des versions, lignage et sécurité/conformité
- Knowledge of knowledge graphs or semantic data modeling
- Garantir la conformité, la traçabilité et les meilleures pratiques pour l'infrastructure en tant que code
- Améliorez la qualité des annotations grâce à des processus tels que la concordance entre annotateurs, les échantillons de référence et la détection des anomalies
- Expérience dans le développement et l'exploitation d'API et de SDK backend distribués
- Intégrer des fonctionnalités d'étiquetage assisté par LLM telles que l'étiquetage automatique, la vérification des politiques et l'apprentissage actif
- Expérience pratique des frameworks de magasins de fonctionnalités (par exemple, SageMaker Feature Store, Feast, Tecton, Hopsworks) ou de l'exploitation de systèmes de bases de données vectorielles pour des cas d'utilisation LLM
- Experience working with cloud platforms (AWS, GCP, or Azure), containers (Docker/Kubernetes), and infrastructure-as-code tools (e.g., Terraform)
- Maîtrise d'au moins un langage de programmation moderne (Python préféré).
- Connaissance des graphes de connaissances ou de la modélisation sémantique des données
- Experience with LLM pipelines, including embeddings, retrieval-augmented generation (RAG), or prompt engineering
- Infrastructure de stockage des données et des fonctionnalités : vous construirez des systèmes backend évolutifs pour l'ingestion de données, les pipelines ETL par lots/en continu, les magasins de fonctionnalités, les API compatibles avec les vecteurs et la conformité des données
Information not given or found
Interview process
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Visa SponsorshipInformation not given or found
Security clearance- compliance, lineage, and best practices for infrastructure as code
Company
Overview
Founded in 1982
Year of establishment
Marks the beginning of Autodesk's journey in pioneering design software solutions.
- Pioneered software for 2D and 3D design, revolutionizing industries.
- Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
- Empowering creators in fields from construction to digital media, enabling more innovative designs.
- Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
- Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
- Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
- Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
- A leader in 3D design software, with solutions powering projects in every corner of the globe.
- Committed to shaping the future of digital design, bringing complex visions to life.
- Innovation: We believe in the power of creativity to push boundaries and change the world.
- Collaboration: We work together to create solutions that make a difference.
- Customer Success: We are focused on delivering products and services that help our customers succeed.
- Sustainability: We are committed to making a positive impact on the planet and communities.
- Integrity: We act with honesty and uphold the highest ethical standards.
- Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.
2023
Net-zero commitment
Aiming to achieve net-zero carbon status, a critical step in combating climate change.
35%
Carbon emissions reduction
Significant reduction in overall carbon footprint across all emission scopes since 2019.
- Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
- Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
- Promotes circular design principles and helps customers optimize material use and reduce waste.
30% Female Workforce
Gender Diversity
As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.
25% Leadership Representation
Female Leadership
25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.
2025 Diversity Goal
Leadership Commitment
A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.
12 Employee Groups
Employee Resource Networks
Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.
- Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
- Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.
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