TL;DR
Research Engineer (FrontierAI): Engaging in cutting-edge research into vital technologies underpinning next-generation AI models for healthcare with an accent on distributed computing, data pipelines, and rigorous evaluation. Focus on tackling fundamental challenges in machine learning and translating research into real-world impact by building, evaluating, and deploying state-of-the-art AI systems.
Location: Paris, France (Onsite)
Company
hirify.global is a team of scientists, engineers, and machine learning experts advancing the state of the art in artificial intelligence for widespread public benefit and scientific discovery.
What you will do
- Engage in cutting-edge research to underpin next-generation AI models.
- Develop robust data, evaluation, and inference pipelines for AI models.
- Establish benchmarks for evaluating language and multimodal models across various tasks.
- Adapt model architectures and drive real-world validation of AI systems for healthcare.
- Collaborate globally with research scientists and software engineers.
- Contribute effectively within a collaborative environment to achieve ambitious research goals.
Requirements
- Proven track record in deep learning (demonstrated via publications, open-source projects, or relevant work experience).
- Experience managing compute resources (GPUs/TPUs), data pipelines, and platforms used to train, evaluate, and scale complex AI/ML models.
- Ability to communicate technical ideas effectively.
Nice to have
- Hands-on experience tackling the engineering complexities of agentic systems and infrastructure.
Culture & Benefits
- Collaborative environment to achieve ambitious research goals.
- Commitment to diversity of experience, knowledge, backgrounds, and perspectives.
- Equal employment opportunity regardless of sex, race, religion, or belief.
- Accommodation for disabilities or additional needs.
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