Senior Applied Research Scientist II, AI and Machine Learning

Key Skills

Python Programming, Azure, AWS, Aartificial intelligence, Machine learning techniques, Deep Learning, Natural Language Processing (NLP), Google Cloud Platform (GCP), Algorithms, Internet of Things- IoT, Edge AI

Job Description

Do you want to contribute to the work that addresses some of today’s most challenging problems in the public safety space? Are you passionate about AI and Machine Learning? Are you looking for an opportunity to build scalable systems to train deep learning models and deploy it in real life situations for the greater good?
As a Sr. Research Scientist, you will identify the research approach, assess the implementation risk and define the success metrics for multiple AI/ML projects while collaborating with other research scientists and machine learning engineers. You will be actively involving the entire AI innovation life cycle from model prototyping to deployment and continuous learning.
The ideal candidate will have a proven scientific background and a consistent track record of successfully researching and delivering scalable AI-based products with hands-on execution. We need someone willing to be fearless and more than willing to take on bold challenges. By accelerating adoption of our technologies, you'll help protect life in public safety for both officers and the communities they serve around the world.

Your Day-to-Day

• Drive one or more phases in ML development: shape datasets, investigate ML architectures, train/evaluate/tune ML models, implement end-end pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges

Required Skills & Professional Experience

• A Master’s Degree in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field.
• Hands on experience in developing, scaling and implementing machine learning solutions using relevant programming languages (such as Python), state-of-the-art deep learning frameworks and big data tools.
• 3-5+ years of combined academic and industrial research experience developing Computer Vision, Acoustic Event Detection or Natural Language Processing solutions in a business setting.
• Track record of publications and contributions to the machine learning community.
• Excellent problem solving skills and ability to dive into data, model architecture, learning algorithms/optimization, evaluation metrics, and testing scenarios.
• Comfort communicating and interacting with scientists, engineers and product managers as well as understanding and translating the science of AI and Machine Learning to a more general audience.

Preferred Qualifications

• A Ph.D. Degree in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field
• Demonstrated knowledge and experience with distributed machine learning and deploying models at scale in cloud environments (such as AWS, Microsoft Azure and Google Cloud)
• Familiarity with IoT/Edge AI and optimizing ML models to run on-device with constrained compute, power and latency budgets

Compensation and Benefits:

• An awesome office/working environment with the latest technologies
• Competitive salary and benefits including a great medical insurance plan for you and your family
• Free lunch, gym, phone stipend, parking
• Fun team activities and outings
• Flexible working hours
• Opportunities for training and rotations in the US
• Opportunities to ride along with real US police officers in real life situations, see them use technology, and get inspired