Lead Machine Learner

About Robbie AI

Robbie is a computer vision platform that automates all aspects of patient safety, prevents falls, and predicts delirium in real time, increasing patient safety in ICU and hospital rooms.

Job Description

Robbie AI is seeking a highly skilled and motivated Machine Learning Team Leader with expertise in computer vision to join our dynamic team. As the team leader, you will play a pivotal role in designing, building, and deploying cutting-edge self-learning applications focused on body pose movement, facial expressions recognition, basic emotions detection, gender detection, and more. For this, being fluent in reading and writing papers associated with the state of the art computer vision and ANN/RNN architectures is desirable.

Responsibilities

Project Leadership:

• Manage and lead ML in house teams projects like external labellers and outsourcing of R&D
• Demonstrate expertise in building Computer Vision projects from scratch, focusing on real-time processing rather than relying solely on off-the-shelf models.

Data Preprocessing and Architecture:

• Design and develop efficient code for preprocessing and storing image-based datasets using custom-built ANN architectures.
• Utilize your skills to translate literature into practical, real-world products.

State-of-the-Art Models Implementation:

• Demonstrate a strong ability to read and implement cutting-edge deep learning models from research papers related to body pose movement, face detection, basic emotions detection, gender and age detection, and face recognition.
• Build a robust framework to seamlessly apply these models to live video camera feeds.

Training and Deployment:

• Develop and streamline model training and deployment processes, focusing on automation and efficiency.
• Optimize deep neural networks and associated preprocessing/postprocessing code to ensure smooth operation on servers, edge devices, and specific hardware.

Project Management:

• Utilize your project management skills to guide the ML team towards achieving goals and delivering successful outcomes.
• Foster a collaborative and innovative environment, promoting knowledge sharing and continuous learning.

Required Qualifications:

• Proven experience using data science tools, including proficient Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, and working in a Linux environment.
• Demonstrated ability to manage a team of at least 5 engineers, ensuring effective collaboration and successful project outcomes.
• Experience working with custom hardware platforms such as Jetson/ARM.
• Proficiency in deploying and delivering highly optimized inference models at a production level.
• Strong programming skills in Python3, Bash, Git, and experience with popular deep learning frameworks such as PyTorch or TensorFlow.
• Solid knowledge of libraries and frameworks like Numpy, OpenCV, CUDA, and TensorRT.
• Familiarity with C/C++ programming languages for optimizing performance.
• Desirable experience with Inference servers like Nvidia Triton, KubeML, and other pipeline frameworks.
• Previous experience working in teams following SCRUM/Kanban methodologies.
• Excellent communication skills in English, enabling effective collaboration and reporting.
• Desirable exposure to scientific papers, demonstrating an ability to stay informed about the latest advancements in the field.

Desired Qualifications:

• Experience working with Google Cloud Platform or Azure services, particularly storage services and on-demand virtual machines.
• Proficiency in using Make and Makefiles to create targets and streamline build processes.
• Familiarity with CI/CD (Continuous Integration/Continuous Deployment) tools such as GitLab Jobs, GitHub Actions, and Travis, to automate software testing and deployment workflows.
• Expertise in encoding/decoding h265 video feeds and knowledge of codecs and transports like HSL (HTTP Live Streaming).
• Strong sense of teamwork and the ability to collaborate effectively with colleagues from diverse backgrounds.
• Leadership skills to motivate and empower a team of developers, fostering their growth and improving their capabilities.
• Willingness to join a high-growth startup with venture capital investment, contributing to establishing new goals, processes, and higher quality standards.

Education:

• Bachelors, Masters, PhD.
• Major in Computer Science, Engineering, Physics, mathematics, or any related field.

Benefits:

• Long-term contract with the opportunity for involvement in stock options based on performance.
• Possibility for a distributed team setup across the USA and EU, with part-time and remote work options available.
• Assistance with US visa sponsorship may be provided by the company.
• Potential for career growth in the long term, with the opportunity to progress to VP or C-level positions within the Data/Machine Learning department.