[Hiring] Sr. AI/ML Engineer @AlertMedia

Role Description

AlertMedia is looking for an innovative and hands-on Sr. AI/ML Engineer with a strong background in applied machine learning and data science to lead the evaluation, training, and integration of advanced AI and machine learning models across our product suite.

In this role, you will help shape our AI strategy by:

• Identifying the most appropriate models for our use cases.
• Optimizing their performance through fine-tuning and prompt engineering.
• Ensuring their responsible deployment within our platforms.

You will have the opportunity to show who you are throughout our interview process; we don’t ask any trick questions or expect you to perform a whiteboard exercise. We want to see you shine by showing us work you are most proud of!

Qualifications

• 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 (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face).
• Experience working with Elasticsearch or other large-scale search and indexing platforms.
• Experience with cloud-based ML tooling (e.g., SageMaker, Bedrock) and data workflows.
• Demonstrated experience training and deploying supervised learning models, ideally in production environments (a plus).
• Ability to work independently and collaboratively on cross-functional teams.
• Strong organizational skills and ability to manage working on multiple projects in parallel.
• The ability and desire to work in a fast-paced challenging environment.

Requirements

• Train and fine-tune supervised learning models (e.g., classification, ranking, embeddings) for internal tools and customer-facing product features.
• Lead prompt engineering and testing efforts to fine-tune LLM behavior for specific use cases across the product suite.
• Design and implement evaluation pipelines for both LLMs and traditional ML models.
• Work with and optimize Elasticsearch-backed data systems that power AI and intelligence pipelines.
• Proactively identify opportunities to improve AI models, data pipelines, and engineering workflows beyond the existing roadmap.
• Develop tools and frameworks to support prompt iteration, model benchmarking, and performance tracking.
• Coordinate with security team to ensure adherence to AI compliance standards.
• Evaluate and compare commercial and open-source LLMs (e.g., OpenAI, Anthropic, Mistral, Meta, etc.) for performance, cost, alignment, and reliability.
• Collaborate with product and engineering teams to integrate AI features in a safe, scalable, and maintainable way.
• Monitor, evaluate, and continuously improve the performance of AI and machine learning models in production.
• Stay informed of emerging research in NLP, machine learning, and AI infrastructure, and evaluate potential applications for the business.
• Contribute to AlertMedia’s culture, values and vision for the future.

Benefits

• Competitive base salary + Company-wide bonus program.
• Generous and flexible time off and parental leave policies.
• Health benefits - Medical, Dental, Vision and Life Insurance are 100% paid for employees!
• 401K with generous company match.
• Amazing rewards and incentives – we love celebrating each other!
• Commitment to community service with opportunities to give back.
• A Best Places to Work company 10 years in a row and numerous other awards.
• Access to new downtown office with 360 views of Austin, high-tech building gym and nearby running trails.
• Ongoing career development opportunities through our Learning & Development team.
• You'll do meaningful work—while growing your career in a fast-moving, global company with an award-winning culture.