Senior AI/ML Engineer

. Lead the evaluation, training and integration of advanced AI and machine learning models across the product suite .

Posted 10/15/2026full-timeRemote • CanadaSeniorWebsite

Tools & technologies

CloudElasticSearchPythonPyTorchScikit-LearnTensorflow

Key responsibilities & impact

Lead the evaluation, training and integration of advanced AI and machine learning models across the product suite
Help shape AI strategy by identifying appropriate models for use cases
Optimize model performance through fine-tuning and prompt engineering
Train and fine-tune supervised learning models for internal tools and customer-facing features
Lead prompt engineering and testing efforts for LLM use cases
Design and implement evaluation pipelines for LLMs and traditional ML models
Work with and optimize Elasticsearch-backed data systems powering AI and intelligence pipelines
Identify opportunities to improve AI models, data pipelines and engineering workflows
Develop tools and frameworks for prompt iteration, model benchmarking and performance tracking
Coordinate with the security team to ensure AI compliance standards
Evaluate commercial and open-source LLMs for performance, cost, alignment and reliability
Collaborate with product and engineering teams to integrate AI features safely, scalably and maintainably
Monitor, evaluate and continuously improve production AI and ML model performance
Stay informed about emerging NLP, machine learning and AI infrastructure research
Contribute to AlertMedia’s culture, values and vision

What you’ll need

Bachelor’s degree in a technical field such as computer science, computer engineering or related field preferred
2+ years of software engineering experience; Python preferred
4–6+ years of experience in data science and/or software engineering, specifically in machine learning engineering or applied AI
Strong understanding of LLMs and traditional machine learning methods
Experience with prompt engineering, model fine-tuning and evaluation
Familiarity with model evaluation best practices, including offline metrics, cross-validation and A/B testing
Proficiency in Python and ML libraries such as scikit-learn, PyTorch, TensorFlow and Hugging Face
Experience with Elasticsearch or other large-scale search and indexing platforms
Experience with cloud-based ML tooling such as SageMaker and Bedrock and data workflows
Demonstrated experience training and deploying supervised learning models, ideally in production environments
Ability to work independently and collaboratively on cross-functional teams
Strong organizational skills and ability to manage multiple projects in parallel
Ability and desire to work in a fast-paced, challenging environment
Must have existing authorization to work in Canada without sponsorship now or in the future
Finalists may be asked to complete identity verification and present valid government-issued identification

Comp & perks

Competitive base salary
Company-wide bonus program
Generous and flexible time off and parental leave policies
Medical, Dental, Vision and Life Insurance 100% paid for employees
Rewards and incentives
Community service opportunities
Access to downtown Austin office with 360-degree views, building gym and nearby running trails
Ongoing career development opportunities through the Learning & Development team
Meaningful work and career growth in a fast-moving, global company with an award-winning culture