As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR projects. You will be responsible for the end-to-end development and deployment of machine learning models, collaborating closely with cross-functional teams to deliver impactful solutions.
Responsibilities
Develop and train machine learning models for various applicationsPerform feature engineering to enhance model performanceSelect appropriate algorithms based on project requirementsTune and optimize model performance for deploymentClean and preprocess data to ensure model accuracyDesign experiments to validate and improve model outcomesCollaborate within a small team to integrate machine learning solutionsManage end-to-end deployment of machine learning models
Preferred Qualifications
Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learnExperience with SQL for data querying and manipulationStrong skills in statistical analysis and data visualizationCritical thinking and effective communication abilitiesCompany DescriptionRule14 is an AI company and technology incubator focused on applying new approaches to uncover patterns and extract valuable intelligence within big data.Role Overview
We are hiring a Software & Robotics Engineer to build and deploy real-world robotic systems across warehouse and industrial environments. This is a full-time, hands-on role focused on autonomy, navigation, and system integration.
What You’ll Do
- Develop robotics software using ROS 2
- Work on SLAM, localization, and navigation systems
- Integrate sensors (LiDAR, cameras, IMUs) with robot platforms
- Build real-time control and perception pipelines
- Develop backend systems, APIs, and orchestration layers for robots
- Collaborate on fleet management and multi-robot coordination
- Debug and optimize performance in live environments
- Work across software and hardware teams for end-to-end deployment
Requirements
- Experience in robotics or related software engineering roles
- Strong experience with ROS 2
- Solid understanding of SLAM, localization, and robotics algorithms
- Proficiency in Python and/or C++
- Strong software engineering fundamentals (APIs, system design, debugging)
- Experience with sensor integration (LiDAR, vision systems)