Member of Engineering (Multimodality - Research Lead)
New
J
JobgetherArtificial Intelligence
RomaniaFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine LearningLLM
Requirements
- Proven experience with end-to-end training of production-grade vision-language models (VLMs).
- Strong understanding of large language model fundamentals, including transformers and distributed training at scale.
- Advanced Python programming skills and experience implementing machine learning systems.
- Ability to take ownership in ambiguous, fast-paced environments and identify practical solutions.
- Strong research capabilities with experience designing, running, and analyzing experiments.
- Experience collaborating across multidisciplinary teams to deliver complex AI projects.
- Leadership experience or 0-to-1 building experience, with a track record of broad ownership and hands-on technical contributions.
- Background in VLMs, multimodal models, native multimodality challenges, or agentic computer-use systems.
Responsibilities
- Own the multimodality roadmap and drive adoption of multimodal capabilities across AI models.
- Build and launch initial image-input capabilities for advanced coding and agentic systems.
- Define the evolution path from adapter-based approaches toward native multimodal architectures.
- Design and execute experiments across the full research lifecycle, including hypothesis formation, implementation, large-scale training, and analysis.
- Collaborate with research and engineering teams focused on evaluations, architecture, data, and post-training.
- Develop custom datasets and evaluation strategies to measure multimodal software engineering capabilities.
- Contribute to building a new research function from the ground up, balancing innovation with practical delivery.
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