Machine Learning Operations Engineer

Machine Learning Operations Engineer

This job is no longer open

For too long, buying or selling a used car has been a headache and a hassle. But at Vroom, we’re changing the game: our innovative end-to-end ecommerce platform and data-driven technology brings all phases of the vehicle-buying and selling process to consumers wherever they are. Our success is only possible with the help of our hardworking Vroommates, who drive better customer experiences every day. Vroom is an exciting, dynamic workplace, and there's no better time to join the team.

Job Summary:

Vroom is seeking to add a Machine Learning Operations Engineer. As a valued member of our engineering team, you will be responsible for developing systems that increase the speed and reliability of delivery for our data science products. You will collaborate to build the roadmap for Machine Learning Operations at Vroom by identifying new opportunities for deploying and serving data science products to business and product stakeholders.

Are you a thoughtful, collaborative, and resourceful engineer who is passionate about designing platforms for training, deploying, and scaling ML models? Are you eager to invent tools to enable data scientists to build high quality and reliable software?

Our team has a culture where your voice will be heard, and you’ll be able to see the result of your work! We’re one of the few players in the e-commerce automotive space. As a member of our crew, you will become an industry expert. This is a role with high visibility into the business at Vroom and with strong potential for growth within the company.
 

Responsibilities:

  • Build and evolve systems for deploying, serving, and scaling data science products

  • Iterate on Vroom’s ML processes to produce tools that make every stage of the modeling workflow - from annotating data to deploying and monitoring models - robust, observable, repeatable, and reusable

  • Build workflows for automatic training, QA, and promotion of models

  • Implement best practices on top of automated frameworks for unit testing, integration testing, smoke testing, and other testing approaches

  • Identify opportunities and expose technologies that increase the speed of delivery for data science products

  • Collaborate with data scientists to identify technical pain points in model lifecycle management, and address their needs with clear and robust engineering solutions

  • Partner with analysts, engineers, and product leaders in order to serve data science products to the business

  • Evaluate and ensure ongoing health and reliability of deployed systems

  • Lead technical demonstrations and invest in the growth of fellow team members

Requirements:

  • Bachelor's degree in Computer Science

  • At least 2 years of software engineering experience

  • Proficiency in Python

  • Familiarity with the process of deploying an ML model to production

  • Experience with application testing & deployment infrastructure

  • Experience with continuous integration frameworks

  • Experience building and/or deploying cloud-native microservices

  • Experience with relational databases and non-relational databases

  • Experience with automation

  • Eagerness to learn new technologies and collaborate in a cross-functional organization

  • High bar for quality, attention to detail, intellectual curiosity.

  • Experience with shell scripting (bash, sh)

  • A service-oriented mindset — you’re positive and care about the needs of our customers and your teammates


Commitment to Diversity and Equal Employment Opportunity

Vroom is an equal opportunity employer committed to creating and supporting a work environment where all employees can find their drive. To do that, we champion a workplace where each and every person is treated with dignity and respect and is valued for their unique perspectives and contributions. We believe our values of SPEED (Service, Progress, Employees, Engagement, and Development) are best realized in an environment, whether physical or virtual, where every individual has the ability to bring their whole selves to work and contribute fully.

Vroom maintains a working environment that encourages mutual respect and promotes harmonious and friendly relationships among employees. The company prohibits any form of employment discrimination or harassment against employees, applicants, or other protected persons in the workplace based on a protected characteristic(s), regardless of who the source is of such conduct. Protected characteristics include race, color, religion, creed, sex (including gender, sexual orientation, gender identity or expression, or pregnancy, childbirth, or a related medical condition), national origin, ancestry, ethnicity, age, physical or mental disability, genetic information, service in the uniformed services, citizenship, or any other characteristic protected by federal, state, and/or local law. This commitment to antidiscrimination and antiharassment applies to all terms, conditions, and privileges of employment including, but not limited to, recruitment and hiring.

Vroom likewise provides reasonable accommodations to qualified applicants, employees, or other legally protected individuals in the workplace with a disability to enable them to participate in the job application process, to perform the essential functions of a job, or to enjoy the benefits and privileges of employment equal to those of other employees, except if the accommodation would pose an undue hardship. The company also makes reasonable accommodations for religious beliefs and practices. 

Vroom complies with all applicable federal, state, and/or local laws relating to equal employment. 

Other Things to Note

This posting is not intended to provide a comprehensive account of the duties and responsibilities that may be required of this position. Duties and responsibilities may change or be added at any time, with or without notice.


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This job is no longer open
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