ESPN · 4 days ago

Lead Software Engineer

Santa Monica, CA, USA

Full-time

Onsite

Senior Level

$149K/yr - $200K/yr

7+ years exp

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Insider Connection @ESPN

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Design, develop, and maintain search technology to enhance the user experience for Hulu customers

Participate in architecture design for search, relevance, and ranking problems

Collaborate with cross-functional teams to identify search-related business requirements and provide technical solutions

Mentor, empower, and provide career growth opportunities for team members

Foster and maintain effective communication channels with team members, stakeholders, and leadership

Monitor and improve the performance, scalability, and reliability of the search infrastructure

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Software EngineeringArchitecture DesignRobust CodeSearch TechnologiesElasticSearchSolrLuceneScaling SoftwareMentorship ExperienceSoftware DeliveryBudget ManagementProblem-SolvingTeamworkMentorshipCommunicationCollaborationAction-OrientedMachine LearningDeep LearningNatural Language ProcessingSearch Relevance TuningQuery OptimizationRanking AlgorithmsJavaKubernetesAWS

Required

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

At least 7 years of experience in software engineering, with a focus on building well-designed architecture, shipping robust code and contributing to a positive team environment

Experience with search technologies such as ElasticSearch, Solr or Lucene

Demonstrated success in being part of a team problem-solving, designing and implementing software at scale

Mentorship experience & a desire to help your fellow engineers get better at what they do

Excellent communication and collaboration skills, with experience presenting and explaining complex technical ideas to peers and leadership

Biased towards action, with experience delivering high-quality software solutions on time, at scale and within budget

Preferred

Solid understanding of applied machine learning techniques, such as supervised and unsupervised learning, deep learning, and natural language processing

Experience with search relevance tuning, query optimization, and ranking algorithms that incorporate applied machine learning techniques

Experience with: ElasticSearch, Java, Kubernetes, AWS