Machine Learning Systems Engineer — Tether Operations
NewCHF 49'500 - 75'000
Tether Operations · Zürich, Zürich (ZH)
- Location
- Zürich
- Contract
- remote
- Posted
- Yesterday
SalaryCHF 49'500 - 75'000
Role overview
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution.
Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains.
- Join Tether and Shape the Future of Digital Finance
- At Tether, we’re not just building products, we’re pioneering a global financial revolution.
- 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.
- 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.
Main 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.
- Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.
- Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.
- Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.
- Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.
- Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.
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.
- Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.
- Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.
- Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows. Competenze tecniche
- Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures
- Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.
- Strong experience with SQL/NoSQL databases, schema design, and data modeling Preferred
- Experience deploying production systems on AWS, GCP, or similar cloud platforms
What the company offers
- Understanding of performance bottlenecks and low-latency backend patterns Cosa offriamo
Application process
- only through our official channels.
- We do not use third-party platforms or agencies for recruitment unless clearly stated.
- All open roles are listed on our official careers page: [https://tether.recruitee.com/](https://tether.recruitee.com/)
- Verify the recruiter’s identity.
- All our recruiters have verified LinkedIn profiles.
- If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
- Be cautious of unusual communication methods.
- We do not conduct interviews over WhatsApp, Telegram, or SMS.
Contacts
- Double-check email addresses.
Additional details
- Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether
- Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning:
- Are you ready to be part of the future?
- Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows. Competenze tecniche
- Understanding of performance bottlenecks and low-latency backend patterns
- The chance to shape the future of digital finance and AI-powered media intelligence. Importanti informazioni per i candidati
- Apply only through our official channels.
Notes and original content
- Descrizione
- Transparency is the bedrock of everything we do, ensuring trust in every transaction.
- Innovate with Tether
- Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
- But that’s just the beginning:
- About the job
- Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.
- Competenze tecniche
- Strong experience with SQL/NoSQL databases, schema design, and data modeling
- Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.
