Member Of Engineering (Multimodality - Research Lead)

Jobgether SRL; Portugal; Remote; EUR 100,000 - 140,000; Full time

Benefits offered by this job

Ambiente de trabalho remoto

44 dias úteis de férias

Seguro de saúde para funcionário e Côn

Parental leave de 16 semanas

Job summary

A Jobgether está à procura de um líder de pesquisa em multimodalidade com foco na evolução de capacidades visuais para sistemas de IA de vanguarda. O papel une pesquisa, engenharia e responsabilidad de entregar soluções multimodais robustas.

O candidato ideal terá experiência em treino de modelos de visão–linguagem, fundamentos de LLMs, programação em Python e liderança de iniciativas técnicas, com atuação remota total e horários flexíveis.

Qualifications

• Experiência comprovada em treino de modelos de visão–linguagem em produção.
• Conhecimento avançado de transformers e treino distribuído em escala.
• Programação Python avançada e implementação de sistemas de machine learning.
• Capacidade de assumir responsabilidade em ambientes rápidos e ambíguos.
• Fortes capacidades de pesquisa com desenho, execução e análise de experimentos.
• Experiência de colaboração com equipas multidisciplinares para projetos de IA.

Responsibilities

• Definir a direção da pesquisa de multimodalidade e adotar capacidades multimodais em modelos de IA.
• Construir e lançar capacidades de entrada de imagem para sistemas avançados de codificação.
• Definir a evolução de abordagens para arquiteturas multimodais nativas.
• Desenhar e executar experimentos ao longo do ciclo de vida de pesquisa, incluindo treino e análise.
• Colaborar com equipas de pesquisa e engenharia para avaliações, arquitetura e dados.
• Desenvolver datasets personalizados e estratégias de avaliação.
• Contribuir para construir uma nova função de pesquisa desde o zero.

Skills

VLMs experience

Transformers

Python

ML systems

Experiment design

Distributed training

Leadership

Team collaboration

Tools

PyTorch/TensorFlow

Job description

Member of Engineering (Multimodality - Research Lead)

Empresa : Jobgether

Tipo de Emprego : Periodo Integral

Based in Portugal

This role offers the opportunity to lead the development of multimodal capabilities for next-generation AI systems. You will build and shape a new research area, defining how advanced models understand and interact with visual information. The position combines hands-on research, engineering excellence, and strategic ownership of a critical AI capability. You will work with cutting-edge infrastructure, large-scale model training environments, and a highly collaborative research team. Your work will directly influence the evolution of intelligent systems designed to transform software development and complex problem-solving. This is a unique opportunity to make a significant impact in a fast-moving, ambitious AI research environment.

Our partner is looking for a Member of Engineering (Multimodality - Research Lead) based in Portugal.

Accountabilities

The successful candidate will own the direction and execution of multimodality research initiatives, bringing advanced visual understanding capabilities into frontier AI models. This role requires both strategic thinking and hands-on technical contribution, from defining research priorities to implementing and scaling experiments.

• 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.

Requirements

The ideal candidate combines strong machine learning expertise with a research-driven mindset and the ability to independently solve complex technical challenges. You should have experience building large-scale AI systems and a passion for advancing multimodal intelligence.

• 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 is highly valued.

Benefits

• Fully remote work environment with flexible working hours.
• 37 days per year of vacation and holidays.
• Health insurance allowance covering employees and dependents.
• 16 weeks of flexible, fully paid parental leave.
• Well-being, continuous learning, and home office allowances.
• Company-provided equipment.
• Regular team gatherings and opportunities for in-person collaboration.
• Inclusive, people-first culture focused on collaboration and innovation.