Referso Jobs

Robot Learning Engineer

Clera-AI · Posted Nov 9, 2026

Open

Munich, Bavaria, Germany
On-site
Full-time · Entry
0–3 years

Robot Learning Engineer

Clera-AI · Posted Nov 9, 2026

Open

Munich, Bavaria, Germany
On-site
Full-time · Entry
0–3 years

Robotics Hardware & Data Engineer

Calder · Posted Aug 5, 2026

Open

Redwood City, California, United States

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Robotics Hardware / Data Engineer to design hardware and software interfaces for robot teleoperation and large-scale data collection.

Responsibilities

Design and build hardware interfaces for robot teleoperation
Develop data-collection systems that record synchronized, high-quality sensor, actuation, and video streams
Work across the stack: motor control, signal processing, and low-latency communication between operator hardware and robots
Build tooling and pipelines that validate, clean, and structure collected data for ML training
Partner across engineering, operations and research teams to ensure captured data matches model needs

Requirements

Nice to have: teleoperation systems
Nice to have: large-scale robot data collection
Nice to have: robot learning research community
Nice to have: imitation learning
Nice to have: reinforcement learning

Skills

mechanical engineering mechatronics engineering robotics motor control signal processing

Robotics Research Intern

Toyota Research Institute · Posted Nov 4, 2026

Open

Los Altos, California, United States
Hybrid
Internship · Intern
$45–$65 per hour

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Investigate agentic approaches to robotic manipulation, integrating foundation-model reasoning with physical robot capabilities.

Compensation

The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles.

Responsibilities

Develop and evaluate agentic approaches that use vision-language models to reason about and execute robotic manipulation tasks.
Integrate foundation-model agents with reusable robotic capabilities, including perception, motion planning, grasping, and manipulation.
Investigate challenges in three-dimensional spatial reasoning, robot action feasibility, execution monitoring, and failure recovery.
Design and conduct experiments on physical robotic platforms or in simulation.
Analyze system performance, characterize failure modes, and evaluate generalization across tasks and environments.

Requirements

Master's or PhD in Robotics
Computer Science
Electrical Engineering
Mechanical Engineering
Nice to have: hands-on experience with robotic manipulators

Skills

C++Python robotics fundamentals

Applied Scientist

Generalist · Posted Nov 4, 2026

Open

Somerville, Massachusetts, United States
Hybrid

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Applied Scientists own the mastery of new frontier model capabilities, including developing post-training recipes for learning a wide range of dexterous tasks. This role is a hybrid of research, engineering, and operations.

Responsibilities

Owning end-to-end improvement of target capabilities, from baseline performance to mastery
Designing task suites and evaluation protocols that faithfully capture what research, science partners, and customers need, and that generalize beyond any single deployment
Coordinating data collection, training and fine-tuning models, sweeping data mixtures and configurations, and orchestrating large-scale evaluations
Running rigorous experimental analysis across model variants — isolating variables, quantifying statistical confidence, and diagnosing failure modes from rollout data
Using the stack in new ways rather than redesigning it — and when a capability is fundamentally restricted, you'll work with the pretraining and post-training teams to improve the model

Requirements

PhD in a relevant area

Skills

machine learning robot learning data analysis at scale

VLA/WAM Research Engineer

Flexion Robotics · Posted Nov 3, 2026

Open

San Francisco, California, United States +1 more
Competitive compensation
Visa sponsorship

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Research Engineer focused on developing foundation models for humanoid robots.

Locations (2)

San Francisco, California, United States
Zürich, Zurich, Switzerland

Responsibilities

Design and develop multimodal foundation models combining vision, language, robot state, actions, and temporal context for general-purpose robotic control.
Develop and execute large-scale pretraining across diverse robot embodiments, teleoperation, egocentric human data, and simulated experience.
Improve data mixtures, training objectives, optimization strategies, and distributed training workflows to deliver increasingly capable foundation models on a regular cadence.
Develop predictive world and action models for representation learning, future-state prediction, planning, and robot policy improvement.
Develop methods to efficiently adapt pretrained models to new tasks, environments, embodiments, and capabilities.

Robot Learning Engineer

Robot Learning Engineer

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Robotics Hardware & Data Engineer

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Requirements

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Robotics Research Intern

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Requirements

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Applied Scientist

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VLA/WAM Research Engineer

Locations (2)

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Robot learning jobs

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Responsibilities

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Compensation

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Locations (2)

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