The Enlyte Family of Businesses
Mitchell | Genex | Coventry
Enlyte is the parent brand of Mitchell, Genex and Coventry, an organization unlike any other in the Property & Casualty industry, bringing together three great businesses with a shared vision of using technology innovation, clinical services and network solutions to help our customers and the people they serve. Our suite of products and services enable our employees to help people recover from challenging life events, while providing opportunities for meaningful impact and career growth.
Must be willing to work in PST time zone for at least 8:30 AM to 5 PM PST.
We are building next generation suite of smart product solutions using Computer Vision, Advanced Analytics and Artificial Intelligence [Deep Learning]. We are looking for engineers and technologists to help build the next generation of systems, tools and features for our cutting-edge products and platforms that support millions of transactions. This team is the focal point in our work, bringing the latest in search and discovery ideas to production on a large scale.
As a remote Machine Learning Data Scientist Intern, you will have the opportunity to solve challenging problems or build predictive models across a broad range of products. You will apply machine learning techniques to improve our algorithms, workflows and core products to become more predictive. You will partner with engineers to implement your ideas in production and analysts to evaluate and validate your improvements. Interns will be working on real projects and products that are customer-facing.
You will have opportunity to work on several challenging Machine Learning problems, including
Learn more about our Summer Internship Program: https://careers.enlyte.com/internship
Compensation depends on the applicable US geographic market. The expected base pay for this position is $33 an hour.
The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
Don’t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
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