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: 7 hours agoStatus: Live

Job Summary

Build and scale backend services for a scalable media intelligence platform, leading AI/ML integration, model serving, and observability. Own end-to-end backend components, design high-throughput ingestion pipelines, and drive architecture across APIs, processing, storage, and cloud infrastructure while collaborating with ML and product teams.

Location: Stockholm

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•Architect, design, and operate scalable backend services for a media intelligence platform, with emphasis on clean, maintainable, production-ready systems.
•Own critical backend components end to end, from 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, and audit trails.
•Build 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, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.
•Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.
•3+ years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.
•Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

Experience:5-7 yearsFintechAIMediaBackend engineeringDistributed systems

Education:Bachelor's

Skills:PythonNode.jsRESTBackendAPIsArchitectureScalabilityCloud

Languages:English

Tech Stack:PythonNode.jsPyTorchTensorFlowSQLNoSQLAWSGCPAzureSQSKafkaPub/SubWeaviatePineconeFAISSSageMakerVertex AITritonVLLMEmbeddings

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: 7 hours agoStatus: Live

Job Summary

Location: Stockholm

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•Architect, design, and operate scalable backend services for a media intelligence platform, with emphasis on clean, maintainable, production-ready systems.
•Own critical backend components end to end, from 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, and audit trails.
•Build 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, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.
•Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.
•3+ years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.
•Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

Experience:5-7 yearsFintechAIMediaBackend engineeringDistributed systems

Education:Bachelor's

Skills:PythonNode.jsRESTBackendAPIsArchitectureScalabilityCloud

Languages:English

Tech Stack:PythonNode.jsPyTorchTensorFlowSQLNoSQLAWSGCPAzureSQSKafkaPub/SubWeaviatePineconeFAISSSageMakerVertex AITritonVLLMEmbeddings

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