Staff Algorithm/AI Engineer

Summary of Responsibilities

Job Summary

The Staff Algorithm/AI Engineer is a senior technical expert responsible for designing, developing, and deploying advanced algorithms and artificial intelligence solutions to solve complex business problems.

This role combines deep technical expertise in AI/ML with strong collaboration and leadership skills, influencing both project direction and organizational AI strategy.

The Staff Engineer partners closely with cross-functional teams to deliver scalable and innovative AI-driven products, while mentoring junior engineers and acting as a subject matter expert.

Responsibilities and Tasks


* Design, develop, and implement scalable machine learning and AI algorithms for business-critical applications.


* Lead complex, cross-team AI/ML projects, driving technical direction, best practices, and innovation.


* Stay abreast of the latest advancements in AI/ML, and translate research into practical, deployable solutions.


* Work closely with product managers, data scientists, engineers, and business stakeholders to align AI solutions with organizational goals.


* Provide technical guidance, coaching, and mentorship to less experienced engineers and data scientists.


* Oversee the evaluation, validation, and monitoring of machine learning models, ensuring accuracy, fairness, and compliance.


* Set and enforce high standards for code quality, model documentation, and reproducibility.


* Contribute to the establishment and enforcement of AI/ML governance frameworks, ensuring responsible and ethical AI practices.


* Identify opportunities to optimize existing models and processes, driving efficiency and performance improvements.

Knowledge (Education/License/Certification, Prior Experience)


* Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related field; PhD preferred.


* 8+ years of experience in AI/ML engineering or related technical roles.


* Proven track record of delivering production-grade machine learning models and AI solutions.

Skills and Abilities


* Technical Expertise: Recognized authority in AI/ML; drives innovation and sets technical direction.


* Collaboration & Influence: Builds strong cross-functional relationships; influences stakeholders and project outcomes.


* Leadership: Demonstrates thought leadership and mentors others; leads by example.


* Business Acumen: Understands business drivers; aligns technical solutions with strategic objectives.


* Adaptability: Embraces change, drives continuous learning, and adapts to evolving technologies.


* Communication: Articulates complex technical topics clearly; tailors communication to diverse audiences.


* Ethics & Integrity: Upholds high ethical standards; champions responsible AI practices.

#LI-TS1Here Are Some of the Great Benefits We Offer:



* Most locations offer a 9/80 schedule, providing every other Friday off


* Competitive...