Accrete is looking to transform the future of artificial intelligence by creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. The company aims to develop AI agents that autonomously analyze data, generate insights, and make intelligent recommendations to streamline operations, improve decision-making, and enhance security, intelligence, and operational efficiency.
Requirements
- Strong expertise in machine learning, NLP, information retrieval, or deep learning.
- Proficiency in Python* and common ML frameworks (PyTorch preferred).
- Experience designing experiments, building datasets, and evaluating model performance.
- Ability to translate research ideas into practical solutions under real-world constraints.
- Experience with LLMs*, embeddings, agents, or knowledge extraction systems.
- Experience building ML solutions that run in production environments.
- Familiarity with cloud infrastructure, MLOps, or Kubernetes*.
Responsibilities
- Design, prototype, and evaluate new machine learning and NLP models—LLMs, retrieval models, agents, and multimodal models.
- Conduct applied research to improve model accuracy, robustness, interpretability, and efficiency.
- Collaborate with engineers to transition research prototypes into scalable, production-ready systems.
- Work cross-functionally with product managers, forward-deployed engineers, and subject-matter experts to understand real-world constraints and use cases.
- Own experiments end-to-end: hypothesis generation, dataset creation, experimentation, evaluation, and delivery.
- Stay current with the latest AI/ML research and assess opportunities to integrate state-of-the-art methods into Accrete’s platform.
- Contribute to internal research initiatives and help define scientific strategy.
Other
- 3+ years of experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or similar role.
- Strong communication skills and the ability to work collaboratively with cross-functional teams.
- Curiosity and a desire to explore new research directions.
- A product mindset—someone who enjoys building things that solve real customer problems.
- Comfort working in a fast-paced, rapidly evolving startup environment.
