Machine Learning Systems Engineer

Tether is looking for a Machine Learning Systems Engineer to build and optimize backend systems for a highly scalable media intelligence platform. The role focuses on multimedia content processing, AI/ML inference workflows, semantic search, metadata generation, vector search, model serving, and reliable backend architecture for large-scale text, image, video, and audio processing.

Architect, build, and operate scalable backend services for a media intelligence platform.
Own backend components from system design and API contracts to deployment and monitoring.
Design high-throughput media ingestion and processing pipelines.
Build event-driven workflows using queues and pub/sub systems such as SQS, Kafka, or Pub/Sub.
Integrate AI/ML services including OCR, speech-to-text, scene detection, embeddings, and multimodal inference.
Optimize model workflows for latency, throughput, reliability, and cost.
Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services.
Design and maintain vector search and indexing systems using Pinecone, Weaviate, Qdrant, FAISS, pgvector, or similar tools.
Deploy and operate systems on AWS, GCP, Azure, or similar cloud platforms.
Ensure reliability through logging, metrics, tracing, alerting, dashboards, and incident-response practices.
Collaborate with product, design, data, and ML teams.
Mentor junior and mid-level engineers and support technical planning.

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
5–7+ years of backend engineering experience.
Experience building scalable distributed systems, data pipelines, media platforms, or high-throughput backend services.
3+ years of experience integrating AI/ML inference systems into backend workflows.
Hands-on experience with AI-powered processing pipelines for image, video, audio, or text analysis.
Strong experience with production model optimization, including batching, caching, quantization, prompt optimization, routing, latency reduction, and cost optimization.
Experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.
Strong expertise in Python and/or Node.js.
Strong understanding of scalable RESTful APIs and backend architectures.
Experience with HuggingFace transformers, PyTorch, or TensorFlow.
Strong experience with SQL/NoSQL databases, schema design, and data modeling.
Experience with distributed systems, microservices, asynchronous processing, and event-driven patterns is preferred.
Experience deploying production systems on AWS, GCP, or similar cloud platforms.
Strong system design, architecture, observability, and performance engineering skills.
Excellent English communication skills.

Tether is a digital asset and financial technology company best known for issuing USD₮, which it describes as the world’s largest stablecoin. The company presents itself as a broader technology business operating across finance, energy, data infrastructure, education, and future-focused innovation, with products spanning stablecoins, tokenization services, Bitcoin mining infrastructure, and digital wallet tools.