[Remote] Research Engineer

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

Company Overview