ACV Auctions

Senior Machine Learning Engineer (MLOps)

Job description

ACV’s mission is to build and enable the most trusted and efficient digital marketplaces for buying and selling used vehicles with transparency and comprehensive data that was previously unimaginable. We are powered by a combination of the world’s best people and the industry’s best technology. At ACV, we are driven by an entrepreneurial spirit and rewarded with a work environment that enables each teammate to impact the company from day one. ACV’s network of brands includes ACV Auctions, ACV Transportation, MAX Digital and ACV Capital within its Marketplace Products as well as True360 and Data Services.

What you will do:
ACV’s Machine Learning (ML) team is looking to grow its MLOps team with a senior role. Multiple ACV operations and product teams rely on the ML team’s solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as we’ve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers.
Successful candidates will demonstrate excellent skill and maturity to lead, be self-motivated as well as team-oriented, and have the ability to support the development and implementation of end-to-end ML-enabled software solutions to meet the needs of internal and external stakeholders.
The core responsibilities of this role are: maintaining current data product APIs, releasing ML models on a regular cadence, building capability of continuous training and monitoring. This role will work closely with MLEs specialized in model R&D to understand the unique needs of production-level ML models, and ACV infrastructure team to leverage the state-of-the-art software infrastructure support. You will lead the initiatives of improving and extending current MLOps practice and capabilities, to empower the ML team to be more productive. In addition you will get to solve challenging and complex business problems that will make an impact on the company bottom line and you will report directly to the manager of the ML team.

Required Qualifications:
  • Must be excited by and have professional experience with the engineering, devOps, tracking, and pipeline needs of data-heavy, ML-enable products.
  • This is an MLOps role, scaling and monitoring large ML production systems is the job.
  • Graduate education in a computationally intensive domain.
  • 3+ years software development experience, preferably related to ML or Data Science.
  • 1+ years as tech lead or major contributor on cross-team projects.
  • Experience with cloud services (AWS / GCP) and kubernetes, docker, CI/CD in python.
Preferred Qualifications:
  • Experience with MLOps-specific tooling like Vertex AI, MLFLow, Kubeflow, or Weights and Biases etc are a plus.
  • 1+ years experience in running ML/DL projects from discovery to delivery.
  • Data Science skills like vectorized scientific programming and exploratory data analysis
What we will offer:
  • Comprehensive benefits offerings for benefits eligible Teammates.
  • Unique culture that truly values each and every Teammate.
  • Career development and Future Growth Opportunities.
At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.

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