
Machine Learning Innovator
13 hours ago
About Our Team
We are a leading innovator in the field of Artificial Intelligence, dedicated to harnessing its potential to drive visual assessment and transform industries.
Trained on millions of data points, our AI-powered solutions connect all parties involved in insurance, repairs, and sales of homes and cars – helping individuals work faster and smarter, while reducing friction and waste.
Founded in 2014, we have established ourselves as a go-to solution provider for world-leading insurance and automotive companies. Our solutions unlock the potential of Applied AI to transform the recovery ecosystem, from assessing damage and accelerating claims and repairs to recycling parts. They enable response to recovery to be up to ten times faster – even after full-scale disasters like floods and hurricanes.
Our Culture
Our company is built around collaboration, transparency, autonomy, and continuous learning. We empower each team member to have tangible impact and grow their scope by intentionally building a culture centered around these core values.
Our Mission
Our mission is to leverage the latest ML research to solve hard science problems necessary to transform the insurance industry (& more). We focus on creating mission-critical AI systems that address some of the trickiest problems in computer vision. Our innovation has already improved the lives of 100,000s of people so far.
Our Organization
Our organization is responsible for building products for the automotive industry. We have already built 2 products (Estimating, Review) sold globally to insurers.
What You Will Be Doing?
As a Data Scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. Your key responsibilities will include:
- Collaborating with applied scientists, data scientist, software engineers, and product partners to design and deliver AI/ML solutions in production at scale.
- Designing and developing AI/ML models, workflows, and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensuring the quality of architecture and design of our ML models and systems.
- Delivering customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.
Requirements
The ideal candidate should possess:
- A Master’s in Computer Science, Machine Learning, or related quantitative field. A PhD in Computer Science or related fields with a focus on Machine Learning is a strong plus.
- Extensive knowledge and practical experience in several of the following areas: machine vision (classical methods and deep learning) and information retrieval. Natural language processing is a plus.
- Demonstrated experience in building scalable AI/ML models and systems and delivering end-to-end solutions in a production environment.
- Experience programming in Python, C++, or related languages.
Preferred Qualifications
The preferred candidate should also have:
- Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel solutions and advancing the state of the art.
- Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.).
- Experience with end-to-end software development and life cycle of machine learning solutions.
- Excellent verbal and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization.
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