Remote Applied Research Engineer – Robotics Data & ML

at Turing

Posted 1 day ago 0 applied

Description:

  • Turing is seeking a hands-on Applied Research Engineer with expertise in robotics, machine learning, and multi-sensor data processing to join their Research & Delivery team.
  • The ideal candidate should have 3–5 years of experience in applied ML, computer vision, or robotic systems and be eager to build robust, high-quality datasets for modern perception, SLAM, and manipulation models.
  • Responsibilities include defining and evolving labeling schemas for robotic perception tasks, such as 2D/3D detection and segmentation, grasp and manipulation point annotations, scene affordances, and sensor fusion.
  • The role involves fine-tuning small ML models under the guidance of a senior engineer and contributing to quality control processes to ensure consistent labeling outcomes.
  • Strong communication skills and a collaborative mindset are essential for success in this technical and cross-functional role.

Requirements:

  • Candidates must have 3–5 years of hands-on experience in robotics, applied ML, or computer vision, with exposure to real-world sensor data or annotation workflows.
  • A strong understanding of robotics concepts, including perception pipelines, SLAM, and sensor fusion, is required.
  • Familiarity with basic ML training and evaluation, particularly for computer vision or multi-modal data tasks, is necessary.
  • The ability to read and synthesize ML research papers relevant to robotics is essential.
  • Experience with tools such as ROS, CVAT, Roboflow, or custom labeling platforms is required.
  • Some exposure to model fine-tuning using frameworks like PyTorch, TensorFlow, or Hugging Face is preferred.
  • Excellent written and verbal communication skills are necessary for translating technical needs across disciplines.

Benefits:

  • The position offers a competitive compensation package, with a base salary ranging from $170,000 to $200,000 plus equity.
  • Employees enjoy an amazing work culture characterized by a collaborative and supportive environment, working five days a week.
  • Team members have the opportunity to work alongside top talent from companies like Meta, Google, and LinkedIn, as well as individuals with deep startup experience.
  • Flexible working hours and a full-time remote opportunity are provided to employees.