Staff ML Systems Engineer - Media Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Architect and build scalable backend services for a media intelligence platform, leading end-to-end backend components, APIs, and processing pipelines. Drive AI/ML integration workflows (including OCR, speech-to-text, embeddings, and multimodal inference) and optimize model serving for latency, throughput, and cost. Collaborate with product and ML teams to deliver AI-powered features in a cloud-based, highly scalable environment.

Location: Yerevan

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.
•Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.
•Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.
•Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.
•Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
•5-7+ years of backend engineering experience building scalable distributed systems, data pipelines, or high-throughput services.
•3+ years of experience integrating AI/ML inference systems into backend workflows (model APIs, embedding pipelines, OCR, speech-to-text, etc.).
•Experience with vector search, semantic search, media retrieval, or similarity-matching systems (preferred).
•Experience mentoring engineers and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Experience:5-7 yearsFintechBlockchainAIMedia

Education:Bachelor's

Skills:PythonNode.jsRESTAPI designSQLNoSQLData modelingDistributed systemsAsynchronous processingSQSKafkaPub/SubAWSGCPAzureObservabilityMonitoringLoggingCI/CDTesting

Languages:English

Tech Stack:PythonNode.jsHuggingFacePyTorchTensorFlowSQLNoSQLSQSKafkaPub/SubAWSGCPAzureVLLMTritonSageMakerWeaviatePineconeFAISSElastic vectors

Company Brief

Tether.io

Builds tools and services to help companies hire, onboard, and manage remote or distributed teams across borders, focusing on payroll, compliance, and global employment workflows.

Industry: HR Tech

Website

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Tether.io

1 month ago

Staff ML Systems Engineer - Media Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Yerevan

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.
•Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.
•Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.
•Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.
•Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

Key Requirements

•Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
•5-7+ years of backend engineering experience building scalable distributed systems, data pipelines, or high-throughput services.
•3+ years of experience integrating AI/ML inference systems into backend workflows (model APIs, embedding pipelines, OCR, speech-to-text, etc.).
•Experience with vector search, semantic search, media retrieval, or similarity-matching systems (preferred).
•Experience mentoring engineers and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Experience:5-7 yearsFintechBlockchainAIMedia

Education:Bachelor's

Skills:PythonNode.jsRESTAPI designSQLNoSQLData modelingDistributed systemsAsynchronous processingSQSKafkaPub/SubAWSGCPAzureObservabilityMonitoringLoggingCI/CDTesting

Languages:English

Tech Stack:PythonNode.jsHuggingFacePyTorchTensorFlowSQLNoSQLSQSKafkaPub/SubAWSGCPAzureVLLMTritonSageMakerWeaviatePineconeFAISSElastic vectors

Company Brief

Tether.io

Builds tools and services to help companies hire, onboard, and manage remote or distributed teams across borders, focusing on payroll, compliance, and global employment workflows.

Industry: HR Tech

Website