Job Title: Research Scientist IV (Machine Learning Engineer/Scientist)

Duration: 9 Months with a possibility of extension

Location: Burlingame, USA (Onsite)

Pay Rate: $93/hr. on w2 with benefits

Start: Targeting February 2025

Benefits: Medical, Dental, Vision.

Job Description:

Client's Reality Labs Research team is looking for a Machine Learning Engineer/Scientist to work on next-generation AI and augmented reality (AR) technologies.
The role focuses on gesture recognition and multimodal machine learning using Client sensor technologies.
The ideal candidate will have expertise in machine learning (ML) for time-series sensor data, computer vision (CV), software engineering, and hardware-software system integration.

Responsibilities:

Develop and benchmark ML and CV models for applications such as gesture recognition, hand pose estimation, object detection, and contextual understanding.
Design and implement ML pipelines for dataset collection, preprocessing, model experimentation, and deployment.
Enable multimodal data collection by developing experimental protocols for human-subjects research and bringing up prototype wearable sensor software and hardware systems.
Collaborate with an interdisciplinary research team to collect multimodal training datasets and develop real-time interaction demos.
Deliver high-quality code, maintain proper documentation, and provide updates through presentations and reports.

Required Qualifications:

Must Have Skills:

2+ years of experience in developing and evaluating ML/CV models.
2+ years of experience in ML pipeline development, including data preprocessing, model experimentation, software integration, and real-time deployment.
3+ years of coding experience with Python.

Nice to Have:

Experience working with data from physical sensing technologies (e.g., cameras,
physiological sensors, electromyography, lidar, radar, IMU)
Self-Supervise learning or Semi- supervise learning
Sensor Fusion
Experience working with data from physical sensing technologies (e.g., cameras, physiological sensors, electromyography, lidar, radar, IMU).

Preferred Qualifications:

Experience in computer vision, multimodal representation learning, self-supervised learning, semi-supervised learning, few-shot learning, transfer learning, sensor fusion.
Experience integrating multimodal ML models with Large Language Models (LLMs) for applications like activity recognition, image captioning, or question answering.
Experience developing data collection protocols for diverse sensor datasets from human participants.
Experience applying ML or signal processing techniques to noisy sensor data in real-time human-computer interaction applications.

Why Join?

Work on cutting-edge AR/VR technologies with a world-class research team.
Gain hands-on experience in human-computer interaction and multimodal AI models.
Opportunity to integrate ML into hardware/software systems for state-of-the-art AI applications.

Education:

Master's or PhD in Computer Science, Electrical Engineering, or related field.

Seeking a Research Scientist IV (Machine Learning Engineer/Scientist) to work on cutting-edge AR/VR AI technologies in Burlingame, USA (Onsite)! 💡 If you have expertise in gesture recognition, computer vision, and sensor fusion, let’s connect!

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