<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><span>We're hiring: </span><strong>Machine Learning Engineer</strong></p><p><br/></p><p><span>Regular Lab (https://regularlab.ai) is a research-heavy AI R&amp;D Lab focused on building an RL agent capable at a wide range of tasks.</span></p><p><br/></p><p><span>Our focus areas:</span></p><p><br/></p><p><span>- Model-based Reinforcement Learning</span></p><p><span>- Planning</span></p><p><span>- World models</span></p><p><span>- Multi-agent systems</span></p><p><br/></p><p><strong>The Mission:</strong></p><p><br/></p><p><span>We are looking for a Machine Learning Engineer to help bridge research and engineering.</span></p><p><br/></p><p><span>You will work closely with researchers to build tooling, run experiments, improve performance, refine infrastructure, and turn research ideas into reliable systems.</span></p><p><br/></p><p><strong>What You Will Do:</strong></p><p><br/></p><p><span>- Build and maintain data and experiment pipelines</span></p><p><span>- Develop and customize environments</span></p><p><span>- Improve performance of custom-made RL solutions</span></p><p><span>- Contribute to cloud-based workflows</span></p><p><span>- And try your own ideas</span></p><p><br/></p><p><strong>Ideally, You Have:</strong></p><p><br/></p><p><span>- 1–3 years of building machine learning systems in industry or academy</span></p><p><span>- Strong Python skills and experience with PyTorch</span></p><p><span>- Experience working with ML infrastructure</span></p><p><span>- Familiarity with cloud platforms</span></p><p><span>- Degree in Computer Science, Mathematics, Engineering, or another STEM discipline</span></p><p><span>- Ability to work independently and take ownership of tasks</span></p><p><br/></p><p><strong>Nice to Have:</strong></p><p><br/></p><p><span>- Experience optimizing model performance and training workflows</span></p><p><span>- Familiarity with CUDA and GPU-based computing</span></p><p><span>- Experience reading and implementing ideas from research papers</span></p><p><span>- Exposure to reinforcement learning, planning systems, or world models</span></p><p><br/></p><p><strong>Why Join Us?</strong></p><p><br/></p><p><span>- High ownership, freedom and direct impact on the direction of the team</span></p><p><span>- Opportunity to implement your own ideas</span></p><p><span>- Strong aligned team with a track-record in working RL solutions</span></p><p><span>- Contribute to cutting-edge RL research</span></p><p><br/></p><p><br/></p> </div>