FULL TIME|Yerevan, Armenia · Remote|Posted 5/29/2026
Tether /Machine Learning Systems Engineer
Overview
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.
Responsibilities
- 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.
Requirements
- 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.
Skills
MachineLearningAI/MLSystemsBackendEngineeringPythonNode.jsRESTAPIDistributedMicroservicesEvent-drivenArchitectureKafkaSQSPub/SubAWSGCPAzureHuggingFacePyTorchTensorFlowvLLMTritonTGISageMakerVertexAIVectorSearchSemanticPineconeWeaviateQdrantFAISSpgvectorOCRSpeech-to-TextEmbeddingPipelinesMultimodalModelServingMLOpsObservabilitySQLNoSQLDataModelingSystemDesign
Tether
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.