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Mid-Level Back End Engineer (Machine Learning Company)

Oxen.AI

Remote · location unlistedJobPosted 1 day agoStill listed 1 day ago

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At a glance

Compensation
No compensation found
Location
Remote · location unlisted
Work Authorization
Not specified

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Job overview

Oxen.AI seeks a mid-level back-end engineer to build and maintain backend components for its distributed data platform. The role focuses on high-performance, fault-tolerant systems for large-scale datasets, APIs and tools that integrate with cloud storage and developer workflows, and performance across storage, retrieval, and synchronization. The engineer will collaborate with senior engineers and product, ML, and frontend teams, and contribute to open-source projects and community engagement.

Skills & qualifications

RequiredNice to have

Skills

Elixir (Programming Language)Web EngineeringAPI DesignCloud InfrastructureConcurrency ControlsData ConsistencyComputer NetworksRustDistributed File SystemsConcurrencyNetworked SystemsCommunicationCollaborationMachine LearningOpen Source ContributionAI Projects

Qualifications

2+ Years Backend Engineering Experience

Full job description

What You'll Do:- Build and maintain backend components in Rust (and/or Elixir) for Oxen.ai's distributed data platform- Contribute to high-performance, fault-tolerant systems for managing large-scale datasets- Build APIs and internal tools that enable seamless integration with cloud storage systems and developer workflows- Work closely with senior engineers, product, ML, and frontend teams to ship robust backend services- Help optimize performance across storage, retrieval, and synchronization layers- Contribute to open-source projects and community engagement around Oxen.ai What You Have (Skills & Experience):- 2-4 years of backend engineering experience, with working proficiency in Rust (bonus: experience with Elixir)- Ideally has worked in big distributed file systems (Dropbox, S3, Google Drive). Bonus if worked in AI.- A solid grasp of concurrency, data consistency, and networked systems fundamentals- Familiarity with cloud infrastructure concepts and API design principles- Strong communication skills, curiosity, and a collaborative mindset suited to early-stage teams Nice to have:- Hands-on experience working in machine learning or AI environments- You're a tinkerer, a hacker, an experimenter- You've contributed to open source- Your GitHub/portfolio has an interesting AI project on it

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