Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop RL-based control policies and experiment with generative methods for animation.
- Company: Join a pioneering team redefining virtual agent interactions through advanced simulation and AI.
- Benefits: Enjoy a competitive salary, equity options, and a hybrid-first work culture with remote flexibility.
- Why this job: Work on cutting-edge tech at the intersection of AI and animation in a fast-paced, creative environment.
- Qualifications: Experience in reinforcement learning, strong Python skills, and familiarity with simulation environments required.
- Other info: Relocation support available for exceptional candidates willing to move to London.
The predicted salary is between 36000 - 60000 £ per year.
Research Engineer – Learning-Based Animation & Simulation
Research Engineer – Learning-Based Animation & Simulation
Direct message the job poster from Search Technology
Location: London (hybrid strongly preferred); remote in EU possible for exceptional candidates
Type: Full-time
Seniority: Open from postdoctoral level to senior/staff level
About the Position
Our client is reimagining how virtual agents move, behave, and interact. By combining real-time simulation, reinforcement learning, and generative models, they’re building a new foundation for intelligent animation in digital worlds; from characters to physically grounded agents.
This isn’t just an ML research role – you’ll be implementing novel algorithms, working directly in simulation, and tuning systems that will run in production pipelines. We’re looking for engineers who thrive in high-agency environments and want to push the edge of embodied intelligence.
What You\’ll Do:
- Develop and train RL-based control policies for humanoid or robotic characters in simulation
- Experiment with generative methods for motion synthesis, behaviour blending, and skill composition
- Build robust systems on top of modern simulation engines (Isaac Sim, MuJoCo, Unity, etc.)
- Implement new research ideas from papers, then go further and make them work
- Work closely with a small, tight-knit team of engineers and researchers shipping iterative prototypes
Experience Required:
- Proven experience in reinforcement learning for control, robotics, or animation
- Strong coding ability in Python and comfort with performance-aware development
- Familiarity with simulation environments (Isaac Sim/Lab, MuJoCo, Unity, PyBullet)
- Curiosity for generative methods (VAEs, diffusion, trajectory priors)
- Strong grasp of research from groups like Levine, Peng, Abbeel, Finn, or Mordatch
- Comfortable working across both high-level ML and low-level physics code
- Self-motivated, fast learner, collaborative mindset
Bonus Experience (Nice to Have)
- Experience with character animation pipelines
- Unity engine or game dev familiarity
- Experience deploying models in real-time or latency-sensitive environments
Why Join
- Join an early team building tech with massive creative and technical potential
- Tackle some of the hardest problems at the intersection of AI, physics, and animation
- Work in a culture that values speed, autonomy, and deep technical craft
- Competitive salary + deep equity with meaningful upside
- Hybrid-first culture in London, with remote flexibility for exceptional contributors
** Relocation support/sponsorship is viable for exceptional candidates who intend to relocate to London **
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology, Research, and Engineering
-
Industries
Technology, Information and Media and Software Development
Referrals increase your chances of interviewing at Search Technology by 2x
Sign in to set job alerts for “Research Engineer” roles.
Greater London, England, United Kingdom 1 hour ago
Earth Observation Scientist – Coal Mine Methane
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 6 months ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 9 months ago
London, England, United Kingdom 5 months ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 11 months ago
London, England, United Kingdom 3 hours ago
Research Scientist – Generative AI & Applications
London, England, United Kingdom 5 days ago
AI Research Scientist (Sequential Decision Making)
London, England, United Kingdom 6 days ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 11 months ago
London, England, United Kingdom 2 months ago
Research Scientist – Generative & Applied Machine Learning
London, England, United Kingdom 5 days ago
London, England, United Kingdom 11 months ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 months ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom $35,000.00-$46,000.00 2 weeks ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Research Engineer – Learning-Based Animation & Simulation employer: Search Technology
Contact Detail:
Search Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer – Learning-Based Animation & Simulation
✨Tip Number 1
Familiarise yourself with the latest research in reinforcement learning and generative methods. Being able to discuss recent advancements or specific papers from influential researchers like Levine or Abbeel during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase your coding skills by working on personal projects or contributing to open-source projects related to simulation or animation. This hands-on experience will not only enhance your skills but also provide you with concrete examples to discuss during interviews.
✨Tip Number 3
Network with professionals in the field through platforms like LinkedIn or relevant conferences. Engaging with others who work in reinforcement learning or animation can lead to valuable insights and potentially even referrals for the position.
✨Tip Number 4
Prepare to discuss how you would approach implementing new research ideas in a production environment. Think about challenges you might face and how you would overcome them, as this shows your problem-solving skills and readiness for the role.
We think you need these skills to ace Research Engineer – Learning-Based Animation & Simulation
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Research Engineer position. Make sure you understand the key responsibilities and required skills, especially in reinforcement learning, simulation environments, and coding in Python.
Tailor Your CV: Customise your CV to highlight relevant experience in reinforcement learning, robotics, and animation. Include specific projects or research that demonstrate your coding abilities and familiarity with simulation engines like Unity or MuJoCo.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention any relevant experience with generative methods and your ability to work in high-agency environments. Be sure to express your enthusiasm for pushing the boundaries of embodied intelligence.
Showcase Your Projects: If applicable, include links to your published research or projects that demonstrate your expertise in the field. Highlight any experience with character animation pipelines or deploying models in real-time environments to strengthen your application.
How to prepare for a job interview at Search Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with reinforcement learning, coding in Python, and working with simulation environments like Isaac Sim or Unity. Bring examples of past projects that demonstrate your technical abilities and how you've applied them in real-world scenarios.
✨Demonstrate Your Curiosity
Express your interest in generative methods and the latest research in the field. Be ready to discuss how you stay updated on advancements and how you might apply these concepts to the role. This shows your passion for the subject and willingness to learn.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, particularly in high-agency environments. Think about challenges you've encountered in previous roles and how you overcame them, especially in relation to developing control policies or working with simulation engines.
✨Emphasise Team Collaboration
Since the role involves working closely with a small team, highlight your collaborative mindset. Share experiences where you successfully worked in a team setting, contributed to group projects, or helped others achieve their goals. This will show that you're a good fit for their tight-knit culture.
