DataRobot

HQ
Boston
Total Offices: 2
1,610 Total Employees
Year Founded: 2012

DataRobot Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Provides paid holidays

Offers sabbatical leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Offers a remote work program

Provides free snacks and drinks

Recently posted jobs

19 Days AgoSaved
In-Office or Remote
Boston, MA, USA
Artificial Intelligence • Information Technology • Machine Learning • Software
Generate and qualify new-logo opportunities for Account Executives by researching target accounts, conducting multi-channel outbound outreach, uncovering business needs, scheduling discovery meetings, and maintaining accurate CRM records. The role collaborates with Sales and Marketing to build pipeline for DataRobot’s generative AI platform and applications, while meeting activity and conversion targets.
26 Days AgoSaved
In-Office or Remote
Boston, MA, USA
Artificial Intelligence • Information Technology • Machine Learning • Software
Build and improve AI agent systems focused on Model Context Protocol and memory. Work includes developing MCP servers and clients, integrating tools and memory into agent loops, experimenting with context retrieval, testing behavior, documenting implementations, and shipping iterative improvements. The role emphasizes Python development, curiosity about agent systems, clear communication, collaboration, and learning through hands-on experimentation.
One Month AgoSaved
In-Office or Remote
Boston, MA, USA
Artificial Intelligence • Information Technology • Machine Learning • Software
Conduct research engineering for a probabilistic foundation model spanning temporal, tabular, and mixed-modality data. Design model architectures, encoders, attention mechanisms, distributional output heads, and decoding strategies; implement and train scalable PyTorch models; run controlled experiments, ablations, and performance profiling; diagnose training behavior; and produce reproducible, production-quality code. Candidates with stochastic modeling expertise may also develop synthetic data generators and simulate richer stochastic dynamics.