Research Scientist III

PINNACLE GROUP (Pinnacle Technical Resources); Redmond (WA); On-site; USD 96,000 - 124,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) contributions

PTO & Sick leave

Job summary

PTR Global in Redmond, WA, seeks a Machine Learning Engineer/Researcher to advance egocentric perception for AR/VR wearables. You will develop ML models for gaze estimation, head pose, and speaker identification, and integrate them into smart glasses and related devices.

Join a world-class team focused on cutting-edge ML for AR/VR, with hands-on prototyping, cross-functional collaboration, and opportunities to publish impactful results. Proficiency in Python and PyTorch with some C++ desired.

Qualifications

• M.S. in a relevant field such as Deep Learning, Machine Learning, Computer Vision, Computer Science, Statistics, or equivalent work experience.
• 3+ years of experience with the development and implementation of machine learning, computer vision, or deep learning algorithms.
• 3+ years of experience with deep learning frameworks such as PyTorch or TensorFlow.
• 3+ years of experience with scientific programming languages such as Python and C++.
• Demonstrated ability to independently build, train, and evaluate machine learning models.
• Demonstrated ability to implement and evaluate working, end-to-end prototypical learning systems.
• Strong interpersonal skills for cross-group and cross-culture collaboration.

Responsibilities

• Implement time domain, multi-modal, and related multi-sensory machine learning models by adapting existing models and algorithms from literature.
• Develop multi-view geometry tracking and localization frameworks for early prototyping and testing of novel machine learning and computer vision algorithms.
• Support prototyping and R&D demonstration teams in deploying algorithms to wearable form factors such as smart glasses.
• Leverage AI-native platforms for code development and fast build-and-test of novel algorithms, primarily coding in Python/PyTorch with limited C++.

Skills

Deep Learning

PyTorch

TensorFlow

Python

C++

Model Training

ML Applications

Education

M.S. in a relevant field

Tools

PyTorch

TensorFlow

Python

C++

Job description

Machine Learning Engineer (Motion Capture / Human Motion / Eye Tracking / Gaze Estimation) /Computer Vision Engineer /Research Scientist (Research Engineer – Human Behavior / Egocentric Perception)

Position: Machine Learning Engineer / Researcher

Location: Redmond, Washington

Duration: 12-month Contract

Job ID: 180113

Job Overview

Join a world-class team of researchers and engineers at the forefront of augmented and virtual reality innovation. This role is part of a team dedicated to developing groundbreaking technologies for Smartglasses, AR glasses, and VR headsets. The focus is on creating advanced machine learning systems for egocentric human behavior understanding in AR and VR, including gaze direction, head orientation, and speaker identification in challenging environments. This is an opportunity to work on cutting-edge projects that will shape the future of how we work, play, and connect.

Responsibilities

• Implement time domain, multi-modal, and related multi-sensory machine learning models by adapting existing models and algorithms from literature.
• Develop multi-view geometry tracking and localization frameworks for early prototyping and testing of novel machine learning and computer vision algorithms.
• Support prototyping and R&D demonstration teams in deploying algorithms to wearable form factors such as smart glasses.
• Leverage AI-native platforms for code development and fast build-and-test of novel algorithms, primarily coding in Python/PyTorch with limited C++.

Qualifications

• M.S. in a relevant field such as Deep Learning, Machine Learning, Computer Vision, Computer Science, Statistics, or equivalent work experience.
• 3+ years of experience with the development and implementation of machine learning, computer vision, or deep learning algorithms.
• 3+ years of experience with deep learning frameworks such as PyTorch or TensorFlow.
• 3+ years of experience with scientific programming languages such as Python and C++.
• Demonstrated ability to independently build, train, and evaluate machine learning models.
• Demonstrated ability to implement and evaluate working, end-to-end prototypical learning systems.
• Strong interpersonal skills for cross-group and cross-culture collaboration.

Preferred Qualifications

• Currently has, or is in the process of obtaining, a PhD in Deep Learning, Machine Learning, Computer Vision, Computer Science, Statistics, or a related field.
• Experience applying machine learning to motion capture data (e.g., OptiTrack, Vicon, or similar systems).
• Experience with eye tracking systems (e.g., Tobii or comparable).
• Experience with machine learning applied to human behavior analysis, such as gaze estimation, head pose estimation, and speaker identification/diarization.
• Experience building tracking and localization systems such as SLAM.

About PTR Global

PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com.

Fee Disclaimer

• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range

$70- $90/hr on W2

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.