Job details for
Machine Learning Engineer

Machine Learning Engineer

Job Info

Category: Software Engineering
Company Description: Automotive E-Commerce Website
Salary: Highly Competitive, Depending on Experience
Position Type: Permanent
Job Number: 10957

Job Description

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:

  • Become a trusted advisor to the Data Science and Analytics teams.
  • Turn complex Data Science algorithms and predictions into reliable production-grade systems.
  • Create a platform to deploy said models at scale, so that we can make the Data Science team as productive as possible.
  • Build Python libraries to make it easy for Data Science to do feature engineering on our raw data.
  • Participate in creating the team’s roadmap, providing feedback on priority and business value.
  • Maintain and tune our data warehouse to support requirements from stakeholders and dependent systems.
  • Become an expert in our products and data models, so that you can write performant SQL queries to enable iterative analysis.

Who You Are:

  • 3+ years experience as a machine learning engineer, data scientist, data engineer, etc.
  • Comfortable with using test infrastructure to validate code.
  • Team player who thrives in a collaborative environment.
  • Expert in SQL, with ability to optimize database and query performance.
  • Familiarity with OLAP databases such as Redshift, Snowflake, Vertica, or others.
  • A natural detective, with a keen interest in solving business problems with data driven methods.
  • Deeply focused on delivering value to stakeholders, with a data-as-a-product mindset.
  • Passionate about creating production grade systems and data quality, supporting what you build.
  • Experience in building statistical models a plus, but not required.


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 is an Equal Opportunity Employer

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.

All qualified candidates are encouraged to apply by submitting their resume as an MS word document including a cover letter with a summary of relevant qualifications, highlighting clearly any special or relevant experience.
Garret MacDonald

Garret MacDonald

Technology Recruiter

Contact Recruiter

17 State Street, 8th floor
New York, New York 10004

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.

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