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Junior Machine Learning Engineer - Alerts Team

samdesk Canada Inc.
Edmonton, AB

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Détails du poste

Temps plein
Il y a 9 jours

Compétences

TensorFlow
Droit
PyTorch
AWS
Apprentissage automatique
Traitement du langage naturel
APIs
S3
Intelligence artificielle
Évaluation de modèle
Python

Description complète du poste

Who We Are

Samdesk is a global disruption monitoring platform delivering real-time crisis alerts 24 hours a day, 365 days a year, powered by AI. We make sense of the world’s most valuable real-time data sources with a singular purpose: to create a safer world. Headquartered in Edmonton, Alberta, Canada, with team members distributed around the globe, we work with some of the largest brands in the world — including DoorDash, Meta, Uber, Ford, and NATO. We are a growing team of builders and problem-solvers who are deeply passionate about the products and services we create.

Check us out!
www.samdesk.io

About the Role

The ML Engineer on the Alerts Team plays a pivotal role in the intelligence layer that powers Samdesk’s automated alert pipeline - converting raw unstructured text to actionable crisis intelligence. You will own the quality of the output of our data pipeline. What does this mean? You will own the design and implementation of AI agents, orchestrate the interplay between our LLMs and data pipeline, and build the internal tooling that our operations, ML, and product teams rely on daily. You will work at the intersection of large-scale data systems and cutting-edge AI infrastructure, and your decisions will have a direct impact on system reliability and the quality of alerts delivered to users around the world.

This role reports into the Alerts Team and collaborates closely with features, infrastructure, and product teams.

Responsibilities

Model Development & Fine Tuning

Design, build, and deploy ML models across the full lifecycle, from designing the ML architecture through error analysis and deployment
Fine-tune and adapt LLMs using domain-specific alert data, including dataset curation, supervised fine-tuning, preference optimization, evaluation, and safe production rollout
Upgrade models to newer versions, ensuring each new version measurably outperforms the last
Work hands-on with Python ML libraries such as PyTorch, TensorFlow, Hugging Face, and XGBoost
Collaborate with data and engineering teams to build scalable ML pipelines
Contribute to data labeling strategies, feature engineering, and model evaluation frameworks

AI Agent Development & LLM Orchestration

Design and implement AI agents that coordinate LLM inference with our real-time data pipeline
Build and maintain the orchestration layer governing how language models interact with structured pipeline outputs
Integrate with OpenAI and Anthropic APIs, including prompt engineering, tool use, and response handling at scale
Ensure agent workflows are observable, testable, and fault-tolerant in production
Monitor and report on model performance, drift, and inference latency in production

Technical Excellence

Attention to detail and problem-solving aptitude
Set the bar for code and model quality through rigorous review of code, experiments, and evaluation results, and through mentorship
Champion reproducibility through experiment tracking, versioned datasets, and robust evaluation so models and systems can be safely iterated on
Decompose complex requirements into accurate effort estimates

Qualifications & Skills

Required

2+ years of professional experience in a machine learning or applied ML engineering role
Familiarity with NLP, text classification, or information retrieval (a strong asset given our domain)
Comfort working with large, noisy, real-world datasets
Demonstrated experience building and operating AI agents or LLM-powered systems in production
Hands-on experience with OpenAI and/or Anthropic APIs, including tool use, streaming, and prompt management
Experience evaluating the outputs of ML components (ie precision and recall)

Nice to Have

Experience with real-time data pipelines or event-driven architectures
Familiarity with LLM evaluation frameworks, observability tooling, or RAG architectures
Background in news, media monitoring, or open-source intelligence (OSINT)
Solid working knowledge of AWS services (S3, SQS, CloudWatch) and ML infrastructure such as GPU-based inference, or vector databases

You’ll Thrive Here If

You bring genuine intellectual ownership to the systems you build and think about them when you’re not at your desk
You have strong opinions, loosely held. You argue for the right solution, not your solution
You have a bias towards action and don’t require a ‘playbook’ to get things done.

Samdesk is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.

The position is based out of Edmonton, AB but we may also consider remote candidates. Please note that only candidates selected for the interview process will be contacted. Thank you!

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