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

Architect, build, and operate scalable backend services for a media intelligence platform, with end-to-end ownership of APIs, processing pipelines, model-serving workflows, and data storage. Lead AI/ML integration, optimize inference, and design vector search/indexing to deliver high-throughput, low-latency multimedia analysis in a remote, globally distributed team.

Location: São Paulo

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Mid level

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.

Pay and Benefits

Perks:Remote Work

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.
•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.
•Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

Experience:5-7 yearsBackendDistributed systemsAI/MLMedia platformsData pipelines

Education:Bachelor's

Languages:English

Tech Stack:PythonNode.jsREST APIsPyTorchTensorFlowSQLNoSQLKafkaPub/SubSQSAWSGCPVertex AISageMakerWeaviatePineconeFAISS

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: São Paulo

Workplace: Remote

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Mid level

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.

Pay and Benefits

Perks:Remote Work

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.
•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.
•Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

Experience:5-7 yearsBackendDistributed systemsAI/MLMedia platformsData pipelines

Education:Bachelor's

Languages:English

Tech Stack:PythonNode.jsREST APIsPyTorchTensorFlowSQLNoSQLKafkaPub/SubSQSAWSGCPVertex AISageMakerWeaviatePineconeFAISS

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