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    Founding ML Infrastructure Engineer

    EngineeringRemoteFull-time$160k–$220k + equity

    Join Mixpeek as one of the first engineering hires. You'll design and scale the multimodal infrastructure behind our video/image/audio/document indexing and retrieval platform. You'll own Ray-based pipelines, inference services, and the storage layer (Qdrant, MongoDB, ClickHouse, S3) that power our APIs. This is a founding role—you'll shape our core architecture and engineering culture.

    Responsibilities

    • Design, build, and optimize Ray-based pipelines for large-scale multimodal data processing
    • Own end-to-end flows from object storage (S3) through feature extraction to vector + metadata stores (Qdrant, MongoDB, ClickHouse)
    • Develop and manage high-performance inference services (e.g., Triton, Ray Serve) behind our public APIs
    • Implement pragmatic MLOps practices for model and feature extractor deployment, monitoring, and lifecycle management
    • Work directly with the founder and early customers to debug issues and shape the roadmap
    • Build monitoring, logging, and alerting for data pipelines and inference services
    • Continuously improve retrieval performance and relevance across our feature stores and vector databases

    Requirements

    • Senior-level experience (4+ years) building and operating production data/ML or distributed systems
    • Strong proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow)
    • Hands-on experience with Ray (Core/Data/Serve) or similar distributed frameworks, and eagerness to go deep
    • Solid understanding of distributed systems, data-intensive workloads, and performance tuning
    • Experience with vector databases (ideally Qdrant) and hybrid search over embeddings + metadata
    • Comfortable working across infra, backend APIs (FastAPI), and a fast-moving product roadmap
    • Strong problem-solving and communication skills; you enjoy owning systems end-to-end

    Benefits

    • Competitive salary and meaningful equity
    • Remote-first work environment
    • Health, dental, and vision insurance
    • Unlimited PTO
    • Learning and development budget
    • Home office setup allowance

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