---
title: "Deep Learning Research Engineer Intern at DataRobot…"
canonical: "https://www.metaintro.com/job/deep-learning-research-engineer-intern-at-datarobot-d8eb0a58-0ea8-53b8-96c0-e884f947dc60"
language: "en"
author: "Metaintro"
---

[![DataRobot logo](/api/company-logo?url=https%3A%2F%2Fwww.datarobot.com%2Fwp-content%2Fuploads%2F2024%2F11%2Fdatarobot-favicon-512px-300x300.png&sig=kARCb9RUI4xkDYRbMNfxVikD-6drd6OlFtwxhIuyFA4)](/company/datarobot)[DataRobot](/company/datarobot)
# Deep Learning Research Engineer Intern at DataRobot

**Location**
: Washington, District of Columbia · Boston, Massachusetts · +1

**Type**
: Full-time, Internship

**Level**
: senior

**Posted**
: Sep 28, 2026

## Description

DataRobot is hiring a post-doctoral research-engineering intern to design, implement, train, and evaluate a multi-target joint probabilistic foundation model. The role focuses on temporal, tabular, mixed-modality, and state-space architectures, distributional output heads, decoding schemes, controlled experiments, and scalable PyTorch implementations. Candidates should have strong PyTorch and probabilistic modeling experience; knowledge of stochastic processes, stochastic differential equations, synthetic-data generation, and quantitative domains is a strong plus. The internship offers exposure to research, production-quality implementation, and real deployment constraints.

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