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1 month ago

Machine Learning Engineer III, Search Relevance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Join Box's Search Relevance team to design, build, and iterate on ranking, retrieval, and recommendations with low-latency, production-grade microservices. You’ll employ embeddings, semantic/hybrid search, and LLM-enabled retrieval, contribute to offline/online evaluation, own end-to-end projects, and collaborate with Product, Data, and Infra to impact millions of users in real time.

Location: Redwood City

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, build, and iterate on components for ranking, retrieval, and recommendations that improve measurable relevance and latency
•Implement production features leveraging embeddings, semantic/hybrid search, and LLM-enabled retrieval
•Contribute to offline/online evaluation, A/B tests, and relevance tuning using metrics such as NDCG, MRR, and precision@k
•Develop reliable, observable microservices and near real-time indexing pipelines across distributed systems
•Own well-scoped projects from design to rollout, writing clear design docs, tests, and operational runbooks

Key Requirements

•3+ years of industry experience building backend or distributed systems with production ownership of services or data pipelines
•Proficient in at least one: Java, Scala, C++, or Python; production-grade Python is a plus
•Exposure to search, ranking, recommendations, or applied ML in production; understanding of training-to-serving workflows
•Experience with data pipelines, message queues, or streaming systems (e.g., Kafka, Pub/Sub) and near real-time processing
•Familiarity with cloud-native microservices, CI/CD, observability, and performance tuning

Experience:3+ yearsSoftwareAISearchDistributed systems

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solving

Languages:English

Tech Stack:JavaScalaC++PythonKafkaPub/SubElasticsearchSolrLuceneKubernetesTerraformGCPAWSAzurePyTorchTensorFlow

Company Brief

Box

Provides cloud content management, file sharing, and collaboration services for businesses, enabling secure content storage, workflow automation, and integrations with enterprise apps to manage and share files across organizations.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Redwood City, United States

Founded: 2005

Website LinkedIn

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