Senior Machine Learning Developer

Job Description

Job Description

Streamline the deployment of Machine Learning models

As a Senior Machine Learning Developer in R&D, you will play a key role in supporting the teams of applied scientists responsible for creating and training search and ranking models, as well as other ML models at scale.

Your mission is to build ML systems that are reliable, scalable and easy to maintain, as well as help Applied Scientists iterate on their experiments faster.

Here is what makes this opportunity exciting :

The ML unit at Coveo focuses on finding ways to apply the latest advances in Recommender Systems, Ranking Optimization, LLMs and NLP to build innovative solutions in e-commerce, self-service and other business verticals.

We solve real problems with real data, for hundreds of large enterprise clients all around the World, on a modern platform that servers over 100M requests and automatically trains thousands of ML models on a daily basis.

Here is a glimpse at your responsibilities :

• Participate directly in every part of the development life cycle of ML models : conception, implementation, automated testing, deployment, monitoring, etc.
• Investigate, analyze and improve the performance of our models and systems including meeting critical SLOs for training models at scale and low-latency inference.
• Maintain and improve several of our most important client-facing product features.
• Facilitate the adoption and utilization of ML platform and observability resources and guidelines to improve operational efficiency and service reliability.
• Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions.
• Learn, utilize and evolve our data and tech stack which includes Python, AWS, Kubernetes, Pytorch, Terraform, Snowflake, Honeycomb and others

Here is what will qualify you for the role :

• You have 5+ years of Machine Learning industry experience.
• You have operationalized, instrumented and supported AI models in production at a non-trivial scale before
• You are fluent in good data and software engineering practices, and you are able to develop the tools and culture which enable your team to deliver reliable production code in an efficient manner.
• You enjoy collaborating with scientists on a daily basis to understand their pain points and figure out how to improve their tools and increase their efficiency.

You also have experience working in cross-functional teams.

Here is what will make you stand out :

• You know when to apply best practices in ML-Ops, ML engineering, and large-scale deployment of ML models.
• You are familiar with Data Lifecycle in ML and helped structure the data logic in ML projects before.
• You have been tasked with maintaining and evangelizing internal resources and libraries.
• You are savvy in specific ML domains such as Natural Language Processing, Information Retrieval, and / or Recommendation Systems, and the technical implications of building pipelines for such use cases.
• You are recognized for your communication skills and presenting complex technical subjects to audiences with different levels of technical proficiency.

Do you think you can bring this role to life?

You don't need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your CV, we want to get to know 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.

We know that applying for a new role is a lot of work and we really appreciate your time.