Applied Scientist III

Compensation Range:

$65.00 - $70.50/hr

Welcome to IntePros, a certified woman-owned company specializing in innovative and results-oriented recruiting and staffing solutions. We take immense pride in genuinely understanding what drives and inspires exceptional individuals like you. Your success is our priority, and we are dedicated to actively shaping your long-term career journey. At IntePros, we believe in comprehensive well-being. You have access to our medical, dental, vision, and mental health programs, ensuring your health and wellness are taken care of. To support your continuous growth, we also provide a $1,500 per year education and professional certification fund. Diversity and inclusion are cornerstones of our company ethos. IntePros is proud to be an equal opportunity employer. We do not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, sexual orientation, disability, age, veteran or military status, retaliation, or any other characteristic protected by law. We celebrate the rich tapestry of backgrounds and perspectives that make us stronger as a team. Please note that only qualified individuals being considered will be contacted. We appreciate your interest and look forward to potentially embarking on a transformative journey together.

Applied Scientist III

IntePros is looking for an Applied Scientist III to work 100% remote for our Premier Client located in Seattle, WA. This is an exciting role that will work with a team of other applied scientist to help invent, design, and deliver cutting-edge science solutions to make it easier for customers to find other content they will enjoy.

Key Areas of Responsibility

The ideal candidate has great communication skills, can remove roadblocks, detail-oriented, and has a knack for breaking websites. QAE's regularly work with Developers, Product Managers and other Quality Engineers to ensure the proper operation of the production environment. During the development cycle, QAEs identify use cases, create test cases, execute tests, and report results.

Qualification

• Be a technical leader in the scientific development of recommendation system that will enable users to discover new educational items
• Work within multiple subdomains of the larger problem set (serve recommendations across multiple mediums or item types)
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models
• Conduct A/B experiments, gather data, and perform statistical analysis
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Experience working on recommender systems such as in e-commerce, advertising, music, video or other fields.
• Experience in any of the following areas: recommendations, language models, information retrieval, search, relationship representations (embeddings, graph networks), NLP, similarity analysis
• Experience Needed
• * 3 years of building machine learning models for business application experience
• * Experience in Python
• * PhD, or Master's degree and 4 years of CS, CE, ML or related field experience
• * Ability to develop machine learning platform strategy in the subdomain of recommender systems for media and, sdlc