Why This Job is Featured on The SaaS Jobs
This Senior Machine Learning Developer role stands out in SaaS because it sits at the intersection of product delivery and platform capability: turning research-grade models into dependable, client-facing services with clear reliability and latency expectations. The remit spans the full model lifecycle—deployment, monitoring, and iteration—within a cloud-native stack (AWS, Kubernetes, Terraform) that reflects how modern SaaS vendors operationalise ML for enterprise use cases like commerce and self-service.
From a career perspective, the work builds durable SaaS leverage: designing repeatable MLOps patterns, improving observability, and raising the baseline for experimentation-to-production throughput across teams. Experience here translates well to other SaaS environments where ML is embedded in core workflows, because it emphasises operational excellence—testing, rollbacks, SLIs/SLOs, and scalable inference—rather than one-off modelling.
The position is best suited to engineers who enjoy being a multiplier: partnering closely with applied scientists, shaping shared tooling, and influencing architecture through pragmatic improvements. It will appeal to professionals who prefer ownership across systems boundaries (data, software, infrastructure) and who are motivated by making ML features resilient enough for enterprise customers, not just accurate in notebooks.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Streamline the deployment of machine learning at scale
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.
