Research Scientist, Robotics Research

Tri-global Solutions Group Inc.

. Work as part of a dynamic, closely-knit research team building useful robots and general-purpose robot foundation models.

Posted 11/5/2026full-timeCambridge • Massachusetts • United StatesMid-LevelSenior💰 $158,400 - $227,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning and robotics, with a strong focus on developing and deploying large models for robotic manipulation. Proven ability to collaborate with leading research institutions and contribute to impactful publications in top-tier conferences.

Highest-signal resume keywords

PhD In Computer ScienceMachine Learning ExperiencePython Software DevelopmentExperience With PyTorch Or TensorFlowRobotic Manipulation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningRoboticsModel OptimizationData Pipeline ManagementReinforcement LearningGenerative ModelsRapid PrototypingSystem IntegrationClean Code PracticesEmbodied Systems

Soft Skills

CollaborationAdaptabilityImpactful Communication

Tools & Technologies

PyTorchTensorFlowC++Cloud TrainingDataset Management

Industry Keywords

Robot Behavior LearningResearch PublicationsMachine Learning PipelinesPhysical Hardware PlatformsInteractive Embodied Data

Tech Stack

Tools & technologies

CloudPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Work as part of a dynamic, closely-knit research team building useful robots and general-purpose robot foundation models.
Implement, extend, and create state-of-the-art methods for robot behavior learning from interactive embodied data and online data sources.
Design and implement high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.
Play a critical role in rapid progress through internal capability development and high-impact external publication.
Collaborate with internal research scientists and partner labs at MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive pioneering research at scale.

Requirements

What you’ll need

PhD in computer science, machine learning, robotics, or a closely related field.
Experience training large models and deploying them on embodied systems, particularly toward robotic manipulation.
Strong software development skills in Python, familiarity with mixed C++/Python codebases, and a focus on clean, maintainable code.
Extensive practical experience with Machine Learning using a major framework such as PyTorch or TensorFlow.
Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management.
Strong understanding of the state-of-the-art in robot learning, including generative models (e.g., diffusion policy, flow matching), reinforcement learning, and/or world models.
Practical experience with robots and the system integration challenges inherent in conducting research and deploying onto physical hardware platforms.
Ability to move fast and switch between rapid prototyping and robust implementation as required.
Strong track record of impact via first author research publications at top-tier machine learning or robotics conferences, or meaningful contributions to successful industry initiatives.

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k) eligibility
Paid time off benefits, including vacation, sick time, and parental leave
Annual cash bonus structure