Founding ML Infrastructure Engineer

Back to Careers Founding ML Infrastructure Engineer Engineering Remote Full-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 #J-18808-Ljbffr