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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's

• People 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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