Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
About the role
- Open-source Software Engineer at Mistral AI developing and maintaining state-of-the-art AI models and libraries. Collaborating with the open-source community to drive innovation.
Responsibilities
- You will be in charge of open-sourcing state-of-the-art models, whilst maintaining and improving Mistral’s publicly available libraries.
- Your work is critical in helping turn research breakthroughs into tangible solutions and improve Mistral's open-source ecosystem.
- Releasing our models to open-source platforms and libraries, e.g., vLLM, GitHub, Hugging Face.
- Maintaining Mistral’s open-source libraries (mistral-common, mistral-finetune, mistral-inference).
- Create and maintain tooling and services: both internal facing (internal research) and external facing (open-source libraries).
- Implement and optimize open-source and internal libraries for performance and accuracy, ensuring production readiness and employing cutting-edge technology and innovative approaches.
- Collaborate with the open-source community (PyTorch, vLLM, Hugging Face).
Requirements
- Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
- Experience contributing to popular open-source libraries such as PyTorch, Tensorflow, JAX, vLLM, Transformers, Llama.cpp, ...
- Passion for contributing to the open-source software ecosystem
- Expert programming skills in Python, PyTorch, MLOps
- Adaptable, proactive, and autonomous
- Attention to detail and a drive to go the last mile to build almost perfect tools
- Deep understanding of machine learning approaches, especially LLMs and algorithms
- Low-ego, collaborative and have a real team player mindset
- Experience with training and fine-tuning large language models (e.g., distillation, supervised fine-tuning, policy optimization) - ideal
- Experience working with Slurm - ideal
- Worked with research teams before - ideal
- Experience as a core-maintainer of a popular ML open-source library - ideal
Benefits
- 💰 Competitive salary and equity
- 🧑⚕️ Health insurance
- 🚴 Transportation allowance
- 🥎 Sport allowance
- 🥕 Meal vouchers
- 💰 Private pension plan
- 🍼 Parental : Generous parental leave policy
- 🌎 Visa sponsorship
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.
Software Engineer I developing machine learning models and applications at Smart Data Solutions. Collaborating to improve infrastructure and automate processes using AI technology.
Intermediate Machine Learning Engineer at Aviva Canada implementing ML pipelines with required collaboration in AI/ML Operations. Join a team dedicated to operationalizing ML models for optimizing solutions.