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Senior AI Researcher
On-siteFull-timeAI & Machine LearningFinTechEnterprise Software
Lead applied AI research and develop practical language-model capabilities for a platform that automates global equity, tax, and compliance workflows. The role covers research direction, model development, experimentation, and collaboration with engineering and domain experts to bring research into
Responsibilities
- Lead applied AI research initiatives from opportunity identification through validation and implementation.
- Define research directions and contribute to the research roadmap.
- Build, train, fine-tune, and adapt large and small language models using proprietary data and modern techniques.
- Develop approaches for understanding and reasoning over financial documents, business data, and legal or compliance information.
- Create datasets, evaluation frameworks, and experiments to measure performance, reliability, and tradeoffs.
- Translate research results into scalable, production-ready product capabilities.
- Evaluate emerging methods and establish standards for experimentation, model development, and responsible data use.
Requirements
- At least 6 years of experience in AI/ML research or applied science.
- Strong background in deep learning and recent hands-on experience with language models.
- Experience building, training, or adapting models, including data preparation, experimentation, and evaluation.
- Strong Python skills and proficiency with modern deep learning frameworks such as PyTorch.
- Understanding of model architectures, optimization, training methodologies, and evaluation.
- Ability to frame ambiguous problems, design rigorous experiments, analyze results, and make evidence-based decisions.
- Ability to work independently, take technical ownership, and collaborate with engineering, product, and domain experts.
Nice to have
- M.Sc. or Ph.D. in Computer Science, Machine Learning, or a related field, or an equivalent research record.
- Experience with post-training, reinforcement learning, synthetic data, knowledge distillation, or efficient model training and inference.
- Experience in document understanding, information extraction, or reasoning over structured and unstructured data.
- Background in financial, legal, or compliance domains.
- Research publications, open-source contributions, or experience bringing research into production.
Benefits
- Work on product-critical AI systems with real customer impact.
- Collaborate with experienced engineers and domain experts.
- Own research directions and technical initiatives in a high-growth environment.
- Apply AI to global compliance and financial infrastructure challenges.