Data - Engineer II, Machine Learning

ACV Auctions • Buffalo, NY

67d • $100,000 - $125,000

About The Position

ACV's Machine Learning Team is looking for a talented Machine Learning Engineer to join our pricing domain. You will be leading the research and development of models that power the prediction of vehicle sale prices on the ACV marketplace. Successful candidates will demonstrate excellent skill and maturity, 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 their stakeholders. Those who will excel in this role will be those who listen with an ear to the overarching goal, not just the immediate concern that started the query. They will be able to show their recommendations are contextually grounded in an understanding of the practical problem, the data, and theory as well as what product and software solutions are feasible and desirable.

Requirements

• Graduate education (MS or PhD) in a computationally intensive domain or a Bachelor's degree with 2-4 years of experience.
• Demonstrated project experience in the form of research, publications, prototypes, or open-source contributions in ML.
• Proficiency with Python, SQL, and common data manipulation libraries (e.g., Pandas).
• Knowledge of ML frameworks and libraries. Experience on tree-based algorithms (XGBoost, CatBoost, LightGBM etc.), and Generalized linear models (GLM) are highly valued.
• Experience with ML model development lifecycle.

Nice To Haves

• Experience with MLOps-specific tooling like Vertex AI, Kubeflow, or ClearML, etc. are a plus.
• Experience with model interpretation.
• Experience with cloud services (AWS / GCP), docker, and CI/CD.
• Experience with building data pipelines.

Responsibilities

• Working with fellow machine learning engineers to build, automate, deploy, and monitor ML applications.
• Developing data pipelines that feed ML models.
• Developing ML models from proof of concept to production.
• Mining structured & unstructured data, and performing EDAs.
• Documenting the work process, including experiments and parameter tuning.
• Monitoring performance of models in production.

Benefits

• Compensation: $100,000.00-125,000.00 annually.

What This Job Offers

• Industry: Broadcasting and Content Providers
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees