October 18
πΊπΈ United States β Remote
π΅ $150k - $200k / year
β° Full Time
π Senior
π€ Machine Learning Engineer
π½ H1B Visa Sponsor
Serve Robotics aims to develop dependable and proficient sidewalk autonomy software. Pioneer the development of embodied intelligence for robotics, enabling unprecedented generalization across diverse environments and embodiments. Invent/improve novel data-driven paradigms for embodied intelligence, leveraging a variety of modalities (images, video, point clouds (Lidar), text, audio etc). Create business impactful solutions to improve human robot interaction through embodied intelligence. Work with ML infrastructure engineers to assess and monitor model performance, ideate on active learning framework from long tail problems and pave innovative solutions to handle generalization capabilities from being data aware. Collaborate with various teams to understand real-world problems and define tasks, incorporating insights into ML products.
MS with 5 years of industry experience or PhD with minimum 3 years of industry experience with focus in embodied intelligence, AR/VR , Robotics use-cases in a end-to-end learning framework. Demonstrated leadership in scientific efforts, with contributions to top rated conferences and journals. Experience with deep learning frameworks (such as pytorch, tensorflow) and computational data science libraries. Experience with using large-scale datasets and sensor data, with use of various transformer architectures and diffusion models. Adept with latest technology trends in AI / Robotics and Foundational models. Deep understanding of computer vision, machine learning and deep learning basic concepts. Comfortable working with SQL queries and ETL logic for data ingress. Strong programming skills for efficient and robust code. Experience with multiple sensors such as Lidar, Mono/Stereo cameras, IMU, etc. Strong communication skills.
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