Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 20 days ago

Lead Reinforcement Learning Engineer - Humanoid (human)

Neura Robotics382 open roles

Where
Zurich
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowLead Reinforcement Learning Engineer - Humanoid (human)Neura Robotics · Zurich

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Neura Robotics's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Neura Robotics postings stay open a median of 5 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted 20 days ago

Neura Robotics median: 5 days open

The posting

As Lead Reinforcement Learning Engineer, you will define and execute NEURA Robotics' strategy for learning-based humanoid control. You will lead a team of reinforcement learning engineers and researchers, driving the development of next-generation locomotion, manipulation, and whole-body control capabilities for the 4NE1 humanoid platform.

You will be responsible for translating cutting-edge research into robust, production-ready systems that enable autonomous, adaptable, and commercially deployable humanoid robots. Working closely with executive leadership, product teams, controls engineers, perception specialists, and hardware teams, you will shape the future of cognitive robotics at scale.

YOUR MISSION & CHALLENGES

- Define and drive the strategic roadmap for learning-based humanoid behaviors, spanning reinforcement learning, imitation learning, behavior cloning, and foundation-model-powered robotics.

- Lead the development and deployment of advanced control policies for locomotion, loco-manipulation, and whole-body motion on the 4NE1 humanoid platform.

- Establish scalable frameworks, processes, and quality standards for training, validating, and operating learning-based systems.

- Evaluate, adapt, and industrialize state-of-the-art approaches such as reinforcement learning, imitation learning, offline learning, teleoperation, motion tracking, and robotics foundation models.

- Bridge cutting-edge research and real-world applications by transforming emerging technologies into reliable customer-facing capabilities.

- Spearhead sim-to-real transfer efforts through domain randomization, system identification, physics calibration, actuator modeling, and sensor alignment.

- Ensure robust deployment of learned policies on physical humanoid robots with strong performance, reliability, and safety.

- Build, mentor, and lead a high-performing team of reinforcement learning engineers and roboticists, fostering technical excellence and innovation.

- Provide technical direction and coaching while promoting a culture of ownership, collaboration, and scientific rigor.

- Work closely with Controls, Perception, Platform, Software, and Hardware teams to integrate learning-based capabilities into production robotics systems.

- Align research and engineering initiatives with product goals, business priorities, and long-term company strategy.

- Drive projects from early-stage research through successful deployment, establishing clear success metrics and measurable impact.

- Ensure solutions are scalable, maintainable, and ready for deployment across future generations of humanoid robots.

WHAT WE CAN LOOK FORWARD TO

- Master's or Ph.D. in Robotics, Computer Science, Machine Learning, Artificial Intelligence, or a related field.

- 8+ years of experience in robotics, reinforcement learning, or machine learning, including several years in technical leadership or lead roles.

- Proven track record of building and deploying learning-based robotic systems in production environments.

- Demonstrated success leading multidisciplinary engineering and research teams.

  • Strong understanding of:
  • Robot dynamics and kinematics
  • Whole-body control
  • Motion planning
  • Sensor integration
  • Sim-to-real transfer methodologies
  • Hands-on experience with:
  • Isaac Lab / Isaac Sim
  • MuJoCo
  • PyTorch
  • ROS2
  • Python
  • C++

- Ability to bridge academic research and industrial deployment.

- Strategic thinker capable of shaping long-term technology roadmaps.

- Outstanding stakeholder management and communication skills.

- Passion for mentoring and building world-class engineering teams.

- Strong ownership mindset with a proven ability to drive ambitious projects to completion.

- Excellent English communication skills. German language skills are highly desirable.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Neura Robotics's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Neura Robotics's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Neura Robotics's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.