Top Machine Learning Jobs in Marseille

As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.

The Hardware Partnerships Program Manager at Hugging Face will drive strategic partnerships, coordinate with internal teams, and operationalize go-to-market strategies to enhance partnership impacts and revenue. The role involves customer-facing interactions and collaboration with major tech partners to develop joint roadmaps and promote Hugging Face's partnerships.

The Hardware Partnerships Program Manager at Hugging Face will drive strategic partnerships by operationalizing go-to-market goals, collaborating with internal and external stakeholders, and developing co-selling strategies for revenue growth.

As a Staff Machine Learning Engineer at Mozilla, you will lead the design and integration of Generative AI solutions for Firefox, build the infrastructure for LLMs and small models, implement validation and testing procedures, and optimize deployed models for performance.

As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.

As a Senior ML Platform Engineer, you'll enhance the ML platform to support research teams, managing cloud infrastructure and tooling for data collection and model training. You will ensure seamless operations for researchers by maintaining and improving the infrastructure for GPU clusters in a cloud environment.