Senior AI/ML Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Oversee the assessment, training, and integration of cutting-edge AI and machine learning models throughout the product range.

• Train and optimize supervised learning models, including classification, ranking, and embeddings, for both internal tools and customer-facing applications.

• Direct prompt engineering and testing efforts to refine LLM behavior for various product use cases.

• Create and implement evaluation pipelines for both LLMs and conventional ML models.

• Collaborate with and enhance Elasticsearch-backed data systems that support AI and intelligence workflows.

• Identify and pursue opportunities to enhance AI models, data pipelines, and engineering processes.

• Develop tools and frameworks for prompt iteration, model benchmarking, and performance monitoring.

• Work alongside the security team to uphold AI compliance standards.

• Assess commercial and open-source LLMs based on performance, cost, alignment, and reliability.

• Partner with product and engineering teams to safely, scalably, and sustainably integrate AI features.

• Monitor, assess, and continually enhance the performance of production AI and machine learning models.

• Stay updated on emerging research in NLP, machine learning, and AI infrastructure and evaluate their business applications.

• Contribute to the culture, values, and vision of AlertMedia.

⛳️ Requirements

• A bachelor's degree in a technical discipline such as computer science, computer engineering, or a related field is preferred.

• Over 2 years of software engineering experience; proficiency in Python is preferred.

• 4–6+ years of experience in data science and/or software engineering, particularly in machine learning engineering or applied AI.

• Strong comprehension of LLMs and traditional machine learning techniques.

• Experience in prompt engineering, model fine-tuning, and evaluation processes.

• Familiarity with model evaluation best practices, including offline metrics, cross-validation, and A/B testing.

• Proficient in Python and ML libraries such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.

• Experience with Elasticsearch or other large-scale search and indexing systems.

• Familiarity with cloud-based ML tools like SageMaker and Bedrock, along with data workflows.

• Proven experience in training and deploying supervised learning models, ideally within production environments.

• Ability to work both independently and collaboratively in cross-functional teams.

• Strong organizational skills with the ability to manage multiple projects simultaneously.

• Willingness and capability to thrive in a fast-paced, challenging environment.

• Must possess current authorization to work in the U.S. without sponsorship, now or in the future.

🏝️ Benefits

• Competitive base salary.

• Company-wide bonus program.

• Generous and flexible time-off and parental leave policies.

• Medical, Dental, Vision, and Life Insurance fully covered for employees.

• 401K with a generous company match.

• Rewards and incentives.

• Community service opportunities.

• Access to a downtown office with panoramic views of Austin, a high-tech building gym, and nearby running trails.

• Ongoing career development opportunities through the Learning & Development team.

• Meaningful work in a fast-paced, global company with an award-winning culture.