Tri-global Solutions Group Inc.

Robotics

• Design and implement post-training pipelines for VLA models using techniques such as reinforcement learning (RL), reinforcement learning from human or preference feedback (RLHF/RLAIF), in-context learning.
• Develop methods to enhance real-world transferability of policies trained in simulation.
• Explore and implement reset-free and autonomous data collection strategies that enable continual skill improvement.
• Investigate exploration algorithms that balance safety, curiosity, and efficiency for data gathering.
• Lead the design of data collection and curation pipelines using multimodal data from demonstrations, teleoperation, and on-policy rollouts.
• Collaborate across teams in perception, control, and ML infrastructure to deploy scalable and reproducible research systems.
• Publish research outcomes and contribute to the open robotics and embodied AI communities.

Machine Learning Research Scientist, Robotics VLAs Post-Training and Adaptation

Research Scientist

• Design and implement end-to-end modeling pipelines for machine assembly tasks, building from the ground up rather than adapting existing frameworks.
• Run systematic experiments to evaluate architectural variants, data collection and curation strategies, and a range of supervised and reinforcement learning techniques for physical manipulation.
• Develop and maintain rigorous evaluation protocols to measure policy performance across assembly scenarios, including generalization to novel parts, configurations, and failure modes.
• Explore how modern LLMs and agentic systems can be integrated to support physical reasoning and task planning in assembly contexts.
• Collaborate with researchers and engineers across TRI and Toyota's broader ecosystem to connect learning-based systems with real hardware and manufacturing workflows.
• Contribute to writing and publishing research results in peer-reviewed venues.

Machine Learning Research Scientist, Mechanical Intuition – Multimodal Models

Research Engineer

• Design, build, and maintain robust and efficient pipelines for model training and evaluation, with a focus on reliability, scalability, and researcher productivity.
• Develop tools and frameworks to measure and improve model performance across multiple dimensions, including accuracy, generalization, and computational efficiency.
• Collaborate closely with researchers to translate emerging techniques and experimental findings into clean, production-ready implementations.
• Build high-performance systems for geometry manipulation, processing, and modeling, including integration with CAD, CAM, or related geometric representations.
• Contribute to the team's shared infrastructure and codebase, raising the standard for code quality, testing, and documentation.

Senior Research Engineer, Mechanical Intuition, Multimodal Models

Full-stack Engineer

• Implement and maintain software components in Python and C++ that support ML training, evaluation, and inference workflows.
• Contribute to data pipelines and tooling for dataset preparation, experiment tracking, and offline analysis.
• Assist with model export and inference prototyping, including testing models on embedded or edge compute platforms.
• Contribute to tools for diagnostics, logging, and runtime debugging of end-to-end ML systems.
• Build and maintain test harnesses, CI integration, and system-level validation tools.
• Follow engineering best practices in code reviews, documentation, and testing.

Software Engineer

AI Research Scientist

• Formulate and explore research questions related to wellbeing in organizations and communities.
• Work with real or simulated datasets to uncover patterns, relationships, and insights.
• Develop models, simulations, or analytical tools using AI/ML methods.
• Explore approaches such as causal inference, agent-based modeling, or LLM-based analysis where appropriate.
• Communicate findings through reports, visualizations, or lightweight prototypes.
• Collaborate with an interdisciplinary team and incorporate feedback into your work.

AI Research Intern – Wellbeing, Communities & Organizations

Machine Learning Engineer

• Build and maintain machine learning infrastructure, including training pipelines, distributed compute systems, model serving platforms, and monitoring tools that research teams rely on daily.
• Integrate and evaluate large language models (LLMs) and foundation models by developing retrieval-augmented generation (RAG) systems, performing full and adapter-based fine-tuning, applying prompt engineering techniques, and benchmarking performance across providers such as AWS Bedrock, Gemini, Claude, GPT, and open-source models.
• Design scalable data pipelines to support multimodal data, including text, images, sensor data, speech, video, and structured scientific datasets.
• Consult with research teams to understand machine learning requirements, evaluate potential approaches, and propose solutions aligned with TRI’s technology stack and engineering standards.
• Support edge and embedded machine learning by optimizing, quantizing, and deploying models to onboard hardware platforms such as robotics systems and vehicles.
• Bridge the gap between research and production by translating experimental notebooks and prototypes into maintainable, scalable, and deployable systems while preserving research innovation.
• Stay current with advancements in machine learning and artificial intelligence by evaluating emerging techniques and assessing their potential adoption within TRI.
• Drive technical quality by participating in code reviews, producing clear documentation, and fostering knowledge sharing across the Research Software Engineering (RSE) team.

Senior Machine Learning Engineer

People Operations

• Maintain accurate and audit-ready employee records and HR documentation across all systems (including HRIS), ensuring compliance with I-9, immigration, and recordkeeping requirements.
• Support compliance initiatives, including labor law postings, policy updates, audits, reporting, and coordination with Facilities to meet regulatory standards at HQ and Cambridge.
• Manage end-to-end onboarding for employees, including orientation coordination, I-9 verification, system setup, and benefits enrollment.
• Oversee contractor, intern, and research fellow lifecycle processes, including onboarding, offboarding, end-date monitoring, renewals, and compliant documentation.
• Coordinate operational logistics such as IT and Facilities support requests, meeting and event setup, lease-car arrangements, and physical mail distribution.
• Maintain shared HR resources, guides, documentation libraries, and the organizational chart to ensure accuracy and accessibility.
• Support employee engagement initiatives, company events, open enrollment, and wellness programs while responding to employee inquiries via HR communication channels.
• Partner with Payroll to ensure timely processing by following up on outstanding timesheets and related documentation.
• Contribute to cross-functional and ad hoc People Team projects as needed.

People Coordinator

Data Engineer

• Design, implement, and maintain data pipelines to ingest and transform structured, semi-structured, and unstructured data.
• Develop data models that support predictive modeling, scenario analysis, and LLM-based workflows.
• Integrate third-party APIs, domain-specific datasets, and global data sources.
• Define dataset requirements, metadata standards, and validation processes with ML researchers and technical leads.
• Build and maintain curated datasets and evaluation pipelines.
• Improve data tooling and automation to enable rapid prototyping and iteration.
• Participate in exploratory data analysis to validate assumptions, identify data gaps, surface insights and improve model inputs.
• Establish standards for data quality, lineage, governance, and reproducibility.
• Build monitoring, validation, and versioning processes.
• Collaborate with internal and external partners on secure data access and governance.

• This is a paid 12-week internship opportunity and is a hybrid, in-office role.
• We are working to create general-purpose robots capable of accomplishing a wide variety of dexterous tasks.
• Our team is building general-purpose machine learning foundation models for dexterous robot manipulation.
• The research conducted on this internship aligns with our broader mission and will focus on one or more areas at the intersection of robot learning and human-robot interaction (HRI).
• The intern who joins our team will be encouraged to develop working code prototypes, interact frequently with team members, run experiments with both simulated and real (physical) robots, and participate in publishing the work to peer-reviewed venues.

Robotics Intern – Robotics and Human Aware Interaction and Learning

• Scope the project to align with the core research efforts.
• Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors.
• Execute the project using TRI resources.
• Present the project’s approach and findings in research meetings.

Human-Centered AI Intern, CAD Design, Machine Learning

Artificial Intelligence

• Scope a research project to align with our Harmonious Communities Computational Social Science efforts.
• Examine how to link multi-order systems impact of present changes.
• Be the primary driver of the technical plan (e.g., study design, analysis plan) with regular feedback from your mentor and teammates.
• Implement and complete the project using TRI resources.
• Present the project's approach and findings in research meetings to the Harmonious Communities Department, the HCAI Division, and TRI, as well as to partners from Toyota business groups.
• Our goal is that you end the summer with work that informs internal strategy and may be publishable in an academic journal or conference.

Human-Centered AI Intern, Computational Social Science

• Partner with all leaders as a trusted advisor to understand business priorities and develop people strategies that drive organizational goals.
• Guide organizational design decisions, including team structures, spans and layers, and headcount planning.
• Coach managers and leaders on team dynamics, communication, employee development, and retention strategies.
• Lead or support the execution of performance management, employee engagement, and succession planning initiatives.
• Identify and assess workforce risks or gaps and develop proactive solutions in collaboration with the wider People organization.
• Assess external trends (e.g., macroeconomic shifts, DEI benchmarks, regulatory changes) and advise on implications for talent strategy.
• Help drive and support change management efforts that ensure smooth transitions and consistent adoption of new programs or structures.
• Partner cross-functionally with other People team members (e.g., People Operations, Compensation, Talent Acquisition) to ensure aligned and scalable solutions.

Senior People Partner

• Scope a research project to align with our Harmonious Communities Behavioral Science efforts.
• Examine how collective wellbeing relates to individual-level wellbeing, including issues of aggregation, inequality, and shared context.
• Be the primary driver of the technical plan (e.g., study design, analysis plan) with regular feedback from your mentor and teammates.
• Implement and complete the project using TRI resources.
• Present the project's approach and findings in research meetings to the Harmonious Communities Department, the HCAI Division, and TRI, as well as to partners from Toyota business groups.
• Our goal is that you end the summer with work that informs internal strategy and may be publishable in an academic journal or conference.