Remote Senior Machine Learning Engineer

Description:

• Handshake is hiring a Senior Machine Learning Engineer for the Growth Relevance team.
• The role focuses on developing, deploying, and enhancing machine learning systems aimed at lifecycle optimization, personalized notifications, and monetization strategies.
• The engineer will work with cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers on a robust data platform with billions of data points.
• The work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality.
• Responsibilities include driving technical solutions, elevating engineering practices, collaborating across teams, and mentoring colleagues to deliver impactful ML-driven products.
• The engineer will develop and optimize machine learning models and systems that influence user experience.
• Collaboration with product managers, data scientists, and engineers is essential to design, execute, and iterate on ML-driven user experiences and experiments.

Requirements:

• Candidates must be hands-on ML engineers with a proven track record in identifying complex problems and crafting thoughtful technical solutions.
• A minimum of 3 years of industry experience building and deploying production ML systems is required.
• Strong collaboration skills and a relentless focus on user outcomes are essential.
• Candidates should thrive in ambiguity and make informed, data-driven decisions.

Benefits:

• The position offers the opportunity to work on innovative, responsible AI-powered solutions that guide students in their career paths.
• Engineers will join a high-impact team and leverage cutting-edge ML infrastructure.
• The role provides a chance to drive critical marketplace metrics and enhance user engagement.
• There is an opportunity for professional growth through mentoring and collaboration with cross-functional teams.