Robotics ML Expert (MuJoCo Environments) | Remote Contract

@Mahihassi

As an Electrical Engineer with a significant background in firmware development, PCB design, and IoT product engineering, I offer a unique skill set that resonates with the demands of your project. With a Master's degree in Embedded Systems and robust expertise in microcontrollers like STM32, ESP32, and TI Tiva, I can adeptly design and optimize physics-based simulations for intelligent agent training. Over the years, my career has evolved into incorporating AI and Machine Learning (ML) solutions in many practical scenarios like control systems and data analysis. Moreover, my strong grasp of reinforcement learning (RL) algorithms along with proficiency in Python programming and ML frameworks including PyTorch and JAX make me a suitable candidate to execute tasks such as designing reward functions for complex tasks and tuning observation spaces. As a bonus, I have also worked extensively on OpenAI Gym environments facilitating seamless adaptation to similar simulators like MuJoCo. These experiences coupled with my commitment to delivering top-notch solutions would undoubtedly bring value to your team. Lastly, a standout aspect of my profile is my ability to work independently, even in remote settings. Given the nature of this role's flexibility, I am confident that I can leverage this attribute to enrich your project outcomes.

@alizain721

You need someone who can both build MuJoCo environments and stop policies from exploiting simulation quirks so they actually transfer to hardware. The core challenge is usually reward shaping and contact dynamics hiding flaws until late in training. I recently built a MuJoCo quadruped locomotion environment where I redesigned observation and action spaces, reworked rewards to avoid bang bang behaviors, and applied domain randomization. The policy trained with PPO transferred to a physical prototype with minimal retuning. My approach would be practical and test driven: ✅ audit existing MJCF and baseline training runs to find failure modes ✅ refine obs action and reward iteratively with short experiments ✅ add targeted domain randomization and system id parameters ✅ run stability and robustness evaluations and document results I use Python with MuJoCo and MJCF, PyTorch training pipelines, and implementations of PPO SAC TD3. If you have existing code or MJCF models please share repo access so I can prepare a one page plan and rough estimate. Which robot or environment should I review first?

@KrisuTechkul

Hi, we are a team of 20+ AI/ML Engineers based in Delhi - have completed 300+ projects with 100% client satisfaction & long term association. With over a decade in the field of Artificial Intelligence, I've honed my expertise in a range of core components and advancements that are critically needed to make your project successful. This includes hands-on experience with MuJoCo, deep proficiency in RL algorithms, expert Python programming skills and mastery of popular ML frameworks like PyTorch and JAX. Not only do I possess a holistic understanding of RL's environmental dynamics, but I also carry extensive knowledge on robot kinematics, dynamics and control systems - a crucial skill set for this project. In addition, my exposure to domain randomization, system identification and multi-agent learning furthers my capability to design intelligent action spaces and robust reward functions. My versatile skill set guarantees not only cutting-edge technological solutions but also a strong adherence to timelines and budgets; removing the need for you to compromise on either. Let's combine our strengths and create groundbreaking simulation environments for your upcoming enterprise AI project!

@rishidarkunde

With over a decade in the industry, my IT background coupled with my robust AI Development skills make me an optimal candidate for your Robotics ML project. I've worked on numerous sophisticated projects that align well with your requirements; building MuJoCo simulation environments, fortification of reinforcement learning algorithms (PPO, SAC, TD3), and tuning reward functions for complex tasks amongst others. I excel in Python programming using PyTorch or JAX and possess an astute understanding of kinematics, dynamics, and control systems. In a highly independent and remote setting as this project necessitates, I guarantee you a processional who doesn't cower to challenges but rather strategizes on how to tackle them efficiently. My analytical and debugging skills, technical communication and documentation aptitude prove beneficial. Furthermore, my full-stack experience equips me with UI/UX competency to ensure the simulation environments designed are accessible, intuitive, and user-friendly. Choosing me assures you of timely results with zero compromise on quality or security -- after all, every single line of code to me is of utmost significance. Let's build transferable policies together to revolutionize the future of AI & Robotics.

@NEHABHAT92

As a seasoned web and mobile developer with a solid 9+ years under my belt, I bring to the table not only valuable experience, but also an encapsulating drive to turn ideas into realities. I have an expansive skill set ranging from Android and iOS development to Java and PHP amongst others. I've developed e-commerce and CMS based websites, worked on SEO tasks, undertaken UI/UX design and carried out effective mobile app testing – skills which bear directly on the present position. Moreover, I am someone who relishes a challenge. The robotics ML project you have outlined calls for not only extensive knowledge of robotics and ML, but also an ability to work autonomously, that I possess in spades. Always up-to-date with the latest must-knows in the tech world, my critical thinking and sound analytical skills make me uniquely suited for designing physics-based simulation environments and implementing reinforcement learning algorithms for your intelligent agent training. Lastly, my pricing strategy would offer you great value for money, while my willingness to provide three months of after-delivery support demonstrates not just my dedication to project success but also the confidence I place in my capabilities. I look forward to discussing how my expertise can be best utilized by your esteemed team.

@Appworldz

This is the exact kind of deep-tech ML/robotics work I’ve been involved in — MuJoCo environment engineering, RL pipeline optimization, reward shaping, and sim-to-real robustness tuning for manipulation and locomotion tasks. I’ve worked with PPO/SAC/TD3 stacks using PyTorch and Gymnasium-style environments, including contact dynamics debugging, actuator tuning, domain randomization, and long-horizon policy stabilization. One thing many teams underestimate is how much unstable reward geometry and observation leakage quietly destroy transferability later — I spend a lot of time fixing that early. I’m comfortable owning both the simulation layer and the training infrastructure independently in remote research-style environments. Availability: 15–30 hrs/week Rate: $120/hr Happy to discuss current MuJoCo stack, task complexity, and training bottlenecks in detail.

@dataspro

Hello, I am a skilled Robotics ML expert with extensive experience in working with MuJoCo environments. I am confident that my technical proficiency and expertise in Spanish and English languages will allow me to contribute effectively to this project. Looking forward to the opportunity to collaborate with you. Thank you.