Software Engineer III, AI/ML, Core

Responsibilities

• Design, develop, test, and deploy robust, production-grade ML models and infrastructure.
• Build, own and maintain scalable data pipelines, feature stores, and automated training/evaluation workflows to support continuous model iteration.
• Partner closely with Product Managers, Data Scientists and other ML Engineers to translate requirements into concrete technical solutions.
• Monitor, benchmark, and optimize production ML models for latency, throughput, and cost-efficiency without compromising prediction quality.
• - Design, develop, test, and deploy robust, production-grade ML models and infrastructure. - Build, own and maintain scalable data pipelines, feature stores, and automated training/evaluation workflows to support continuous model iteration. - Partner closely with Product Managers, Data Scientists and other ML Engineers to translate requirements into concrete technical solutions. - Monitor, benchmark, and optimize production ML models for latency, throughput, and cost-efficiency without compromising prediction quality.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. - 1 year of experience with one or more of the following: LLM systems, speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. - 1 year of experience with AI/ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: - Master's degree or PhD in Computer Science or related technical fields. - 2 years of experience with data structures or algorithms. - Experience developing accessible technologies.