AI Scientist

Posted:
3/10/2026, 9:43:18 PM

Location(s):
Massachusetts, United States ⋅ Boston, Massachusetts, United States

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

AI Scientist

Country:

About the Role

We are seeking highly skilled and curious AI Scientists to join our AI & Data team. You will play a key role in designing, developing, and deploying advanced machine learning and artificial intelligence models to solve complex problems across the organization. Your work will contribute to our strategic transformation by unlocking new sources of value, automating decision-making, and creating more intelligent, personalized products and services.

Key Responsibilities

  • Research, design, and implement advanced machine learning (ML), deep learning (DL), and natural language processing (NLP) algorithms.
  • Translate business challenges into ML/AI problem statements and build prototypes that deliver business impact.
  • Work with large-scale structured and unstructured datasets to train, test, and optimize models.
  • Collaborate cross-functionally with Data Engineers, MLOps Engineers, Product Owners, and Business Stakeholders.
  • Contribute to the development of AI best practices, model governance, and responsible AI frameworks.
  • Stay up to date with the latest research in AI and ML and evaluate new tools, techniques, and technologies.
  • Present findings, insights, and model results to technical and non-technical stakeholders.

Requirements

Must-Have

  • Advanced degree (PhD or MSc) in Computer Science, Mathematics, Physics, Engineering, or a related field.
  • Proven experience applying ML/AI in production environments.
  • Deep knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Strong programming skills in Python or similar languages.
  • Experience with end-to-end model development: from experimentation to deployment and monitoring.
  • Solid understanding of model evaluation metrics, bias mitigation, explainability, and fairness in AI.

Nice-to-Have

  • Experience with Generative AI (e.g., LLMs, diffusion models).
  • Familiarity with cloud platforms and MLOps pipelines.
  • Publications in peer-reviewed AI/ML conferences or journals.

Experience in financial services or regulated industri