How do you turn cutting-edge machine learning research into production-ready systems that perform reliably at scale? As a Senior Machine Learning Developer, you will support applied scientists by building robust, scalable machine learning systems that accelerate experimentation and power real-world products.
You will use your technical leadership to help shape Coveo’s ambitious vision, bringing the latest advances in machine learning to enterprise commerce, self-service, and other business-critical use cases.
As one of our Senior Machine Learning Developers, you will:
- Streamline the end-to-end lifecycle of machine learning models, from conception and implementation to automated testing, deployment, and monitoring.
- Analyze and improve the performance of machine learning models and systems, meeting strict service-level objectives for large-scale training and low-latency inference.
- Maintain and evolve critical, client-facing product features powered by machine learning.
- Enable teams to adopt machine learning platform, observability tools, and best practices that improve operational efficiency and service reliability.
- Collaborate with peers to challenge existing approaches, improve ways of working, and influence architectural decisions across the organization.
- Contribute to the evolution of a modern technology stack including Python, Amazon Web Services, Kubernetes, PyTorch, Terraform, Snowflake, Honeycomb, and more.
Here is what will qualify you for the role:
- 5 or more years of industry experience working with machine learning systems.
- Hands-on experience deploying, monitoring, and supporting artificial intelligence models in production at meaningful scale.
- Strong foundations in data and software engineering, with a focus on building reliable, maintainable production systems.
- Experience collaborating closely with scientists and cross-functional teams to improve tooling, workflows, and overall delivery efficiency.
What will make you stand out:
- Deep expertise in machine learning operations, machine learning engineering, and large-scale model deployment.
- Experience structuring data lifecycles and data logic within machine learning projects.
- A track record of maintaining, improving, and promoting shared internal tools or libraries.
- Knowledge of domains such as natural language processing, information retrieval, or recommendation systems, and the implications of building pipelines for these use cases.
Do you think you can bring this role to life? Or add your own color?
You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.
Send us your application, we want to hear from you!
Join the Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
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What We Do
Coveo powers the digital experiences of the world’s most innovative brands serving millions of people and billions of interactions across every digital experience. After a decade of enriching our market-leading platform with forward-thinking global enterprises, we know what it takes to gain a trusted AI-experience advantage.
We strongly believe that the future is business-to-person, that experience is today’s competitive front line, a make or break for every business.
For enterprises to achieve this AI-experience advantage at scale, it is imperative to have an Enterprise Spinal and composable ability to deliver AI semantic search and generative experiences at each customer and employee interaction.
