AI & ML Software Engineer Internship

Kensho Technologies; New York (NY); On-site; USD 34,000 - 48,000; Part time

Job summary

Kensho Technologies offers internship opportunities across multiple teams for software engineers eager to explore careers in AI, ML, and data discovery. Interns will work with experienced engineers, contribute to real features, and learn best practices from production systems.

Office locations include Cambridge and New York City, with in-person collaboration emphasized. You will gain exposure to server-side and client-facing work, design APIs and services, and see how ML capabilities are applied

Qualifications

• At least one core expertise, such as distributed computing or deep knowledge of one of the technologies we use.
• Practical understanding of algorithms, data structures, and design patterns.
• Personal projects, open source contributions, or a portfolio of work.
• Versatility and adaptability to contribute across various teams and/or suite of products.
• Effective coding, documentation, and communication habits.

Responsibilities

• Write server-side and user-facing applications built on top of our machine learning capabilities.
• Design interfaces, APIs, and services that address immediate needs with an eye for future scaling and reuse.
• Develop the right abstractions to enable observability and deployment to our core platform.
• Build data ingestion and processing for stand-alone software products and machine learning R&D.

Skills

Distributed computing

Algorithms & data structures

Open source contributions

Personal projects

Portfolio

Versatility across teams

Coding practices & documentation

Effective communication

Tools

Python

Django

Typescript

Airflow

Postgres

Elasticsearch

Kafka

Redis

Envoy

AWS

Docker

Kubernetes

Terraform

Git

Jenkins

Prometheus

Kibana

Grafana

Job description

Kensho Technologies offers internship opportunities across multiple teams for software engineers eager to explore careers in AI, ML, and data discovery. Interns will work with experienced engineers, contribute to real features, and learn best practices from production systems.

Office locations include Cambridge and New York City, with in-person collaboration emphasized. You will gain exposure to server-side and client-facing work, design APIs and services, and see how ML capabilities are applied