ASTRABRIGHT ANALYTICS & KNOWLEDGE ALLIANCE, INC - Robotics Research Engineer

and teams in Paris, Singapore$100k - $140k+ Equity3w ago

In Office Junior APAC Artificial Intelligence Robotics Research Engineer Ollama

Requirements

• MS or PhD in Robotics, Computer Science, Machine Learning, or a related field. • 1 - 3 years of hands-on experience with real robot hardware, through research, an internship, or a project. • Strong machine learning fundamentals: optimization, generalization, evaluation methodology, and end-to-end model training. • Strong robotics fundamentals: coordinate frames, kinematics, basic control. • Strong 3D vision fundamentals: camera models, multi-view geometry, point clouds. • Rigor in evaluation: claims about a policy or a dataset are backed by measurements. • Publications or workshop papers at top-tier robotics (CoRL, RSS, ICRA, IROS), vision (CVPR, ICCV, ECCV, 3DV), or ML (NeurIPS, ICML, ICLR) venues. A widely used open-source repository or a dataset adopted by other teams is valued equally. • Experience with imitation learning or VLA codebases such as LeRobot, ACT, Diffusion Policy, OpenVLA, or π0. • Experience deploying a learned policy on a real robot and running a rigorous evaluation. • Practical 3D reconstruction experience: COLMAP, SLAM, 3DGS/NeRF, point-cloud registration. • World models or video generative models, particularly as simulators or data generators. • RL fine-tuning of learned policies, or model-based RL. • Hand and object pose estimation, hand-object interaction, or human-to-robot motion retargeting. • Depth in a simulator (MuJoCo, Isaac Sim/Lab, Genesis, SAPIEN), including environment and asset authoring. • Domain randomization, procedural scene generation, or sim-to-real transfer. • Teleoperation or data collection systems in the ALOHA / UMI / hand-tracking lineage. • Familiarity with egocentric datasets such as Ego-Exo4D, EgoMimic, HOT3D, Project Aria, and DexCap. • Dexterous or bimanual manipulation research. • Camera calibration and multi-sensor time synchronization. • Vision-language models applied to robotics: task planning, language-conditioned policies, reward or success detection. • Auto-labeling or ground-truth generation over real sensor data, with quality metrics attached. • Tactile, force-torque, or other multimodal sensing for manipulation. • Data curation and dataset-scaling studies: deduplication, mixture ratios, difficulty or diversity scoring, and ablations that identify which data mattered. • We recognize that no candidate will match every preferred qualification. If you meet the core requirements and have meaningful depth in several of these areas, we encourage you to apply.

Responsibilities

• Scope 1: Robot Learning Research • Train and evaluate robot policies (imitation learning, diffusion policies, VLA, RL fine-tuning) on our data and public baselines, in simulation and on real robots. • Turn evaluation results into a quality signal for the data: which data helped, which did not, and why. • Track the state of the art: reproduce the papers that matter, run current methods on our hardware, and develop findings that hold up into publications at top robotics, vision, or ML venues. • Maintain the training and evaluation infrastructure: training runs, evaluation harnesses, and the simulation or world-model environments used ahead of hardware tests. • Scope 2: Data Pipeline: Synthesis, Annotation, Curation • Design pipelines that turn raw capture (egocentric human video, robot logs, teleoperation, 3D scans) into training data with minimal human labeling: synthesize what was not captured, auto-label with models and geometry, and curate what goes into training. • Track which data decisions changed policy performance.

Benefits

• The base salary range for this position is $100,000 - $140,000 USD annually. • Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).