Principal Research Scientist
Tysons, Virginia, United States
Alarm.com
ObjectVideo Labs, a subsidiary of Alarm.com, is seeking a highly motivated and innovative individual to join our team as a Research Scientist to join our expanding R&D team and focus on solving real-world problems. The successful candidate will play a pivotal role in driving research initiatives, contributing to groundbreaking discoveries, and advancing the organization's mission.
In this role, you will engage in pioneering research in intelligent video analytics to enhance the capabilities of smart home applications. Your work will involve inventing, refining, and adapting state-of-the-art techniques in computer vision and machine learning, applied across both edge and cloud computing platforms.
Our rapidly growing research group provides ample opportunities to explore innovative ideas, take on leadership roles, mentor junior team members, and oversee complex projects. We offer a dynamic, engaging, and intellectually stimulating environment for conducting cutting-edge research.
The ideal candidate will be well-versed in the latest developments in deep learning and generative AI for visual recognition and video analytics, with expertise in deep learning model optimization.
Areas of interest include but are not limited to:
- Vision foundation models
- Image and video analysis using vision-language models
- Image and video synthesis with generative AI
- Customizing large language models
- Pattern discovery and anomaly detection
- Object detection, tracking, association, attribute classification, and re-identification
- Human pose estimation, action, and activity recognition
- Face detection, verification, and recognition
- Semantic, instance, and panoptic segmentation
- Other duties as assigned
Candidate Profile
- PhD in Computer Science/Engineering, Electrical Engineering, or equivalent experience.
- 8+ years of work experience in a relevant field.
- Solid research background and experience in computer vision and deep learning.
- Demonstration of both the breadth and the depth of knowledge and track record of solving challenging problems in real-world scenarios.
- Proven programming skills in Python, C, C++, and experience with frameworks such as PyTorch and TensorFlow.
- Experience managing technical team including research scientists and ML Engineering.
- Excellent written and oral communication skills are also required.
Plus (Preferred Qualifications):
- General knowledge of system architectures and distributed systems.
- Hands-on experience in model deployment using tools such as ONNX, OpenVINO, or TensorRT.
- Familiarity with techniques like model distillation and quantization for optimizing machine learning models.
WHY WORK FOR ALARM.COM?
- Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
- Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!
- Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
- Focus on fun: Alarm.com places high value on our team culture. We even have a committee dedicated to hosting a stand-out holiday party, happy hours, and other fun corporate events.
For more information, please visit www.alarm.com.
COMPANY BENEFITS
Alarm.com offers competitive pay and benefits inclusive of subsidized medical plan options, an HSA with generous company contribution, a 401(k) with employer match, and paid holidays, wellness time, and vacation increasing with tenure. Paid maternity and bonding leave, company-paid disability and life insurance, FSAs, well-being resources and activities, and a casual dress work environment are also part of our outstanding total rewards package!
Visit our website at www.objectvideolabs.com.
ObjectVideo Labs is an Equal Opportunity Employer.
In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.
Notice To Third Party Agencies:
Alarm.com understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Classification Computer Science Computer Vision Deep Learning Distributed Systems Engineering Generative AI LLMs Machine Learning ML models Model deployment ONNX PhD Python PyTorch R R&D Research TensorFlow TensorRT
Perks/benefits: 401(k) matching Career development Competitive pay Insurance Medical leave Team events Wellness
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