Category: Software Engineering
Company Description: Automotive E-Commerce Website
Salary: Highly Competitive, Depending on Experience
Position Type: Permanent
Job Number: 10957
Meet the #1 visited online car shopping website in the US. Currently building the world’s most trusted and transparent automotive marketplace where it’s easy to find great deals from top-rated dealers.
We are a technology company with a passion for data and its power to simplify every aspect of the car shopping experience. Using proprietary technology, search algorithms and innovative data analytics, we provide unbiased validation on pricing, dealer reputation and vehicle history.
We're looking for a thoughtful, technical and deeply collaborative Machine Learning Engineer to work with our growing Analytics Engineering team! This position will provide foundational framework for the Data Science team. This includes building the infrastructure to allow the team to "publish" models into production, developing Python libraries to facilitate feature generation, and providing the data science team with product-based datasets to train their models.
What You’ll Do:
Who You Are:
At the core of our company culture is a spirit of innovation, curiosity and collaboration. True to our start-up roots, we’re nimble, flexible and hardworking. We have a great respect for testing and learning and a healthy aversion to scheduling meetings to discuss meetings. Lunch is catered daily. Gym membership is free. Foosball and ping pong are played often. Now a publicly-traded company, we’re as committed as ever to cultivating the culture that got us here.
Andiamo provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Andiamo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Please Note: All inquiries will be treated with the utmost confidentiality. Your resume will not be submitted to any client company without your prior knowledge and consent.