Note: The job is a remote job and is open to candidates in USA. Goliath Partners is hiring a Research Engineer (Datasets) for an AI company building multimodal world models. The role focuses on designing high-quality datasets, developing scalable synthetic data pipelines, conducting machine learning experiments, and evaluating model performance to improve foundation model capabilities.
Responsibilities
- Design multimodal datasets that teach foundation models new capabilities
- Run controlled experiments to understand how data composition impacts model performance
- Build and scale synthetic data generation, filtering, and quality control pipelines
- Develop evaluation frameworks and benchmarks that measure meaningful model improvements
- Partner closely with research, product, and creative teams to translate product goals into data strategies
- Iterate on datasets and training pipelines to continuously improve world model capabilities
Skills
- 4+ years of experience in machine learning or applied AI
- Experience working with large multimodal datasets and generative AI models (image, video, or multimodal)
- Strong understanding of how data quality and composition influence model performance
- Experience across the ML lifecycle, including dataset creation, model training, evaluation, and experimentation
- Proficiency with PyTorch, JAX, or similar ML frameworks
- Experience with distributed computing tools such as Ray, Kubernetes, or equivalent infrastructure
- Curiosity, strong research instincts, and an experimental mindset
Benefits
- Work on cutting-edge multimodal foundation models and world model research
- Own one of the most impactful parts of the AI stack, data strategy and model capability development
- Collaborate with a small, world-class team pushing the frontier of generative AI
- High ownership with the ability to influence research direction and product capabilities
- Backed by leading investors and building technology at the forefront of multimodal AI
Company Overview