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# Member of Technical Staff (Robotics)

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/reka.md)Share14 Sep 2026Published26Listing views1Application actions14 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryThis Member of Technical Staff role develops advanced robotics capabilities at the intersection of world models, 3D/4D scene representation, simulation, perception, and real-world robotic control. The hire will collaborate with machine-learning researchers, hardware teams, and external partners to create training and simulation foundations for embodied AI. Core work includes improving sim-to-real reliability, enabling robotics planning and decision-making, and building persistent temporally consistent environmental representations. The position requires strong robotics or computer-vision experience, practical work with robotic systems or simulators, and production-quality Python or C++ programming. It is a high-impact research-engineering role based in or relocating to London, with remote work indicated within the UK.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThe role combines frontier generative and multimodal AI research with robotics systems engineering, 3D perception, simulation, and real-world deployment constraints. Success requires deep technical judgment across several rapidly evolving disciplines and the ability to translate research ideas into reliable embodied systems.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$200,000US market range$150k–$260k0$286k

AI insightNo actual compensation is disclosed in the posting. These are estimated annual US-market USD base-salary figures for a senior/advanced robotics and embodied-AI research engineering role; actual London-based compensation may differ materially and may include equity or bonuses.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Robotics](https://jobicy.com/jobs?search_keywords=Robotics.md)[Embodied AI](https://jobicy.com/jobs?search_keywords=Embodied%20AI.md)[World Models](https://jobicy.com/jobs?search_keywords=World%20Models.md)[Computer Vision](https://jobicy.com/jobs?search_keywords=Computer%20Vision.md)[3D Perception](https://jobicy.com/jobs?search_keywords=3D%20Perception.md)[3D/4D Scene Representations](https://jobicy.com/jobs?search_keywords=3D4D%20Scene%20Representations.md)[Simulation](https://jobicy.com/jobs?search_keywords=Simulation.md)[Sim-to-Real](https://jobicy.com/jobs?search_keywords=Sim-to-Real.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[C++](https://jobicy.com/jobs?search_keywords=C%2B%2B.md)

Sample interview questionsDescribe a robotics project where you moved a perception or control capability from simulation to a physical platform.A strong answer should explain the simulated environment, sensing and dynamics assumptions, transfer gaps found during deployment, and the calibration, domain randomization, system-identification, or validation methods used to improve real-world performance. It should quantify outcomes such as task success, latency, robustness, or safety improvements.

How would you design a persistent 3D or 4D scene representation for a robot operating over time?

I would combine calibrated multi-sensor observations with a temporally consistent spatial representation, such as a neural scene representation, occupancy model, or object-centric map. The design would explicitly manage pose uncertainty, dynamic objects, memory updates, occlusion, and efficient querying by downstream planning and control systems.

What trade-offs would you consider when selecting Python versus C++ for a robotics training and deployment platform?

I would use Python for rapid research iteration, model training, experiment orchestration, and ecosystem access, while using C++ for latency-sensitive perception, control, sensor integration, and production runtime components. Clear interfaces, profiling, testing, and reproducible data pipelines are essential to avoid creating a fragmented stack.

How can world models improve robotic planning and decision-making?

World models can predict plausible future states and action consequences, allowing an agent to evaluate plans before executing them. I would use them with uncertainty-aware planning, safety constraints, and feedback from real observations so the robot can adapt when predictions diverge from the environment.

Tell us about a time you collaborated across research and hardware teams to solve a difficult system problem.

A strong answer should show how the candidate translated research requirements into measurable system constraints, established shared diagnostics and ownership, and used experiments to isolate issues across software, sensors, mechanics, or compute. It should emphasize clear communication, iteration cadence, and a concrete delivered improvement.

We are an AI research lab building foundational intelligence for the physical world.

Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media.

We work at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments.

You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation.

What You’ll Do

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Build the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics.

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Build the “World”: Develop persistent 3D/4D scene representations that maintain temporal consistency.

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Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house, cutting-edge world models.

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Sim2Real: Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act.

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Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI.

### Areas of Interest

We are particularly excited about candidates working on topics such as:

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World models for embodied systems

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3D / 4D generative models

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Robotics manipulation

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Embodied AI

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Multimodal AI

### What We’re Looking For

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Background in robotics, or computer vision

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Experience with 3D perception, scene representations, or world models

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Experience working with robotic systems, simulation, or real-world platforms

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Strong programming skills (Python, C++, or similar)

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Located in London or willing to relocate to London, UK

Ability to work across machine learning, perception, and robotics

### Reka’s Mission

Reka’s mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.

###
Why Reka?

*

An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.

*

Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.

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Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.

*

Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.

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Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.

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Visa Support: We provide visa assistance for UK employees to ensure a smooth transition and support your career with us.

Show more

[Apply now >](https://jobicy.com/jobs/153241-member-of-technical-staff-robotics.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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