Staff Applied Scientist

About Tractable

Tractable is an Artificial Intelligence company that applies AI to visual assessment, bringing speed and insight to the process. Utilizing millions of data points, their AI-powered solutions integrate all parties involved in insurance, repairs, and sales of homes and cars. Founded in 2014, Tractable is a global employer of choice, with a diverse team comprising over 40 nationalities. They foster a culture of collaboration, transparency, autonomy, and continuous learning.

Research @ Tractable

The Research team at Tractable develops the technical foundations for all Tractable products, currently focusing on auto insurance and natural disaster recovery. Their mission is to leverage the latest ML research to solve challenging science problems and create mission-critical AI systems for computer vision, impacting hundreds of thousands of lives.

Auto Organization – Who We Are & What We Do

The Auto Organization builds products for the automotive industry, including Estimating and Review products sold globally. Their long-term vision is to create a platform ecosystem for effortless new product development and use cases. The current mission is to build a reliable and safe “virtual” motor appraiser/expert service by developing high-quality input capture mechanisms, a state-of-the-art damage assessment stack for auto damage, and explainable, human-centric decision-making engines. They collaborate closely with engineering teams to bring R&D prototypes to production.

What You Will Do

As an Applied Scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. Your responsibilities will include:

• Work with applied scientists, data scientists, software engineers, and product partners to design and deliver AI/ML solutions in production at scale.
• Design and develop AI/ML models, workflows, and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., ensuring the quality of architecture and design of ML models and systems.
• Deliver customer-facing and/or underlying AI/ML solutions that empower the platform to provide the best experience for customers.

Basic Qualifications

What you need to be successful

• 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.
• Computer vision experience.
• Experience programming in Python, C++, or related languages.

Preferred Qualifications

• 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.