Kensho Technologies

About the Company

Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. With engineers comprising over 75% of our ~100-person team, Kensho is an engineering-driven culture, laser focused on building products that solve our customers' complex problems. Kensho is headquartered in Cambridge, Massachusetts.

Listed Jobs

Company Name

Kensho Technologies

Job Title

Software Engineer Intern - Summer 2026

Job Description

**Job Title** Software Engineer Intern – Summer 2026 **Role Summary** Provide hands‑on development experience building scalable, production‑ready software in a data‑centric AI environment. Collaborate with experienced engineers on server‑side and client‑facing components, APIs, data ingestion pipelines, and machine‑learning platform integration. **Expectations** - Deliver production‑level code with peer review. - Apply industry best practices (static typing, IaC, observability). - Contribute to multiple teams; adapt to evolving product needs. - Participate in learning sessions (“Knowledge Days”) and cross‑team discussions. **Key Responsibilities** - Design, develop, and test server‑side services and user interfaces using Python, Django, TypeScript, and related frameworks. - Build and maintain REST/GraphQL APIs that interface with ML models and data stores. - Create data ingestion and processing pipelines for proprietary software and R&D initiatives. - Implement observability (logging, metrics, tracing) and deployment pipelines (Docker, Amazon EKS, Terraform, Jenkins). - Collaborate in code reviews, documentation, and sprint planning. - Follow security and compliance standards applicable to financial data products. **Required Skills** - Strong programming skills in Python and/or TypeScript. - Familiarity with Django, REST, or similar web frameworks. - Experience with PostgreSQL, Elasticsearch, Redis, and AWS services (EC2, S3, EKS). - Knowledge of infrastructure‑as‑code (Terraform) and containerization (Docker). - Understanding of algorithms, data structures, and design patterns. - Ability to write clear, maintainable code and unit tests. - Excellent communication and teamwork abilities. **Required Education & Certifications** - Pursuing or completed a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related STEM field. - No industry certifications required, but familiarity with DevOps practices, cloud platforms, or ML engineering is advantageous.

Cambridge, United states

Hybrid

Fresher

22-12-2025

Company Name

Kensho Technologies

Job Title

Research Scientist - Summer Intern 2026

Job Description

Job Title: Research Scientist - Summer Intern 2026 Role Summary: Conduct cutting-edge research in natural language processing (NLP), focusing on tokenization, evaluation benchmarking, and long-form reasoning. Contribute to scalable AI solutions and publish findings in top ML/NLP conferences while collaborating with interdisciplinary teams. Expectations: Currently enrolled in a Master’s or PhD program in a technical field (e.g., computer science, linguistics) with intent to return post-internship. Preference for candidates with prior academic or industry research experience in NLP/ML. Key Responsibilities: - Design and execute original NLP research to address unsolved challenges in tokenization, evaluation frameworks, or reasoning systems. - Develop novel deep learning algorithms, models, datasets, or analyses for publication in high-impact conferences. - Collaborate with research scientists, engineering leaders, and product teams to align technical goals with business needs. - Write clean, maintainable PyTorch code for research prototypes (non-production code). - Participate in weekly reading groups and contribute to team-driven innovation. Required Skills: - Proficiency in PyTorch for research prototyping. - Published research in top NLP/ML conferences (e.g., ACL, EMNLP, NeurIPS, ICML) as first-author. - Strong academic background in NLP, machine learning, or related fields. - Experience with document layout analysis, multilingual benchmarks, or LLM calibration preferred. Required Education & Certifications: - Currently enrolled in Master’s or PhD program (preferred technical disciplines: computer science, statistics, theoretical physics, or linguistics). - No certifications specified.

Cambridge, United states

Hybrid

Fresher

23-12-2025