[Remote] Research Engineer
Note: The job is a remote job and is open to candidates in USA. Goliath Partners is a fast-growing, venture-backed AI company building next-generation multimodal world models. The Research Engineer (Datasets) will lead the full data research lifecycle, including dataset design, experimentation, synthetic data pipelines, and model evaluation, while partnering with research, product, and creative teams to advance 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