Engineering Manager - Machine Learning Platform
Expedia
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Engineering Manager - Machine Learning Platform
A people leader who provides immediate direction to a small team of junior machine learning engineers and junior data scientists and delivers work for several well-defined projects at once with clear oversight from more senior management, data science and product representatives.
What you will do:
Identifies areas where efficiency and process improvement are needed within own work area.
Applies new ideas or approaches to own work to enhance outputs
Uses established tools and techniques to track progress related to implementing process improvements
Demonstrates knowledge of the product development lifecycle from idea generation to bringing a product to market by supporting the different phases and improving product performance.
Demonstrates additional understanding of unique challenges for integrating machine learning algorithms in products
Proactively teams up with peers across the organization to build an understanding of cross dependencies, priorities, and opportunities to simplify.
Participates in a community of practice and/or product reviews to share and gain knowledge
Creatively tests and maintains software applications and related programs and procedures by using a variety of software development tools following design requirements of customer.
Acts as a spokesperson for software design best practices
Researches and recommends frameworks and architectural/code design patterns
Identifies areas of improvements within the code and suggests solutions
Advocates for operational excellence (such as unit testing, establishing SLAs, programming for resiliency and scalability)
Communicates effectively with customers and listens to customers’ concerns and issues regarding technology. Determines customers’ needs and expectations and responds accordingly
Ensures that operational teams and subcontractors have a clear understanding of customer requirements. Identifies technical issues and provides data to support solutions
Considers new ways of using technology to meet or enhance customers’ needs
Remains informed on industry trends
Examines inefficiencies in the existing stack operation and encourages engineers to improve them
Bridges the gap in discussions between technology and non-technology personnel
Reports on team status faithfully and listens for suggestions to improve lagging project work
Evaluates current team projects or goals and identifies the relevant skills and expertise needed to accomplish them
Plans for and distributes necessary resources to ensure accomplishment of team goals
Tracks resource use to ensure minimal waste and reduce duplication of efforts
Guides individual contributors in the development of individual goals, provides regular and specific feedback, and assesses performance
Encourages and supports education and professional development of individual contributors
Mentors individual contributors by providing advice and recommendations based on experience and own learnings
Evaluates how individuals work together as a team to achieve goals. Provides a culture that supports team in the achievement of goals
Clarifies roles, accountabilities and decision-making among team members
Helps team members prioritize and link daily work to broader objectives
Manages workloads to ensure all team members are fully deployed and skills are matched to the work requirements
Contributes to the culture of their team by coordinating team rituals, processes and practices that build strong team bonds and an open trusting environment where diverse viewpoints, opinions, and approaches and candid conversations and critiques can happen
Leads and contributes to process and practice that drives team operational excellence
Actively listens, seeks feedback and contributions from the team to improve team culture and practice
Hires and onboards new team members
Develops judgment for evaluation of talent
Who you are:
Bachelor's or Master's in a related field; or equivalent professional experience
Education: 5+ years for Bachelor's OR 3+ years for Master'sPeople management 0-3 years
Formally led at least 3 multi-quarter machine learning engineering projects. Seen as a technical lead individual contributor.
Provided technical assessment and feedback for peers' performance reviews
Demonstrates strength with multiple technology implementations
Identifies strengths and weaknesses among languages for particular use cases
Is responsible for a technical domain
Demonstrates the ability to select among technology available to implement and solve for need
Defines team goals and how they fit a business need
Delivers solutions to business problems at the project level
Delivers a product roadmap, working in collaboration with product team
Business acumen/domain knowledge
Previous Mentorship experience
Team enablement
Project management experience
Testing, monitoring, alerting
Machine learning experience
Feature engineering and data pipelines
About Expedia Group
Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.
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Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.This job is no longer accepting applications
See open jobs at Expedia.See open jobs similar to "Engineering Manager - Machine Learning Platform" Travel Tech Essentialist.