AlertMedia

AlertMedia

AlertMedia: Leading emergency communication provider with fast, reliable solutions for risk identification and workforce protection.

501-1000
Founded 2013
$57M raised

Description

  • Train and fine-tune supervised learning models, including classification, ranking, and embedding models, for internal and customer-facing features.
  • Lead prompt engineering and testing to tailor LLM behavior to product use cases.
  • Design and implement evaluation pipelines for LLMs and traditional machine-learning models.
  • Develop tools and frameworks for prompt iteration, model benchmarking, and performance tracking.
  • Evaluate commercial and open-source LLMs for performance, cost, alignment, and reliability.
  • Optimize Elasticsearch-backed data systems supporting AI and intelligence pipelines.
  • Integrate AI features with product and engineering teams in a safe, scalable, and maintainable manner.
  • Monitor and continuously improve production AI and ML model performance.
  • Partner with the security team to meet AI compliance standards.
  • Identify opportunities to improve AI models, data pipelines, and engineering workflows.

Requirements

  • 4–6+ years of experience in data science, software engineering, machine-learning engineering, or applied AI.
  • 2+ years of software engineering experience, preferably using Python.
  • Strong understanding of LLMs and traditional machine-learning methods.
  • Experience with prompt engineering, model fine-tuning, and model evaluation.
  • Proficiency in Python and ML libraries such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
  • Knowledge of evaluation practices including offline metrics, cross-validation, and A/B testing.
  • Experience with Elasticsearch or other large-scale search and indexing platforms.
  • Experience with cloud ML tooling and data workflows, such as SageMaker or Bedrock.
  • Experience training and deploying supervised learning models in production is preferred.
  • Bachelor’s degree in computer science, computer engineering, or a related technical field is preferred.
  • Ability to manage multiple projects independently and collaborate across functions in a fast-paced environment.
  • Must be authorized to work in Canada without current or future visa sponsorship.

Benefits

  • Competitive base salary and company-wide bonus program.
  • Generous flexible time off and parental leave.
  • Employee medical, dental, vision, and life insurance fully paid by the company.
  • Remote Canada-based work arrangement.
  • Career development opportunities through the Learning & Development team.
  • Employee rewards, incentives, and community-service opportunities.
  • Access to a downtown Austin office, building gym, and nearby running trails.

Interested in this position?

Apply directly on the company website

Apply Now

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