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Data - Engineer II, Machine Learning

Job in Buffalo, Erie County, New York, 14266, USA
Listing for: ACV Auctions
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Posted Friday, October 17, 2025 at 5:00 AM

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed.

We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere.

Who we are:

ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable.

We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, Clear Car, MAX Digital and ACV Capital within its Marketplace Products, as well as, True
360 and Data Services.

At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and, to support this, we offer:
  • Multiple medical plans including a high deductible, low cost health plan
  • Company-sponsored (paid) Short-Term Disability, Long-Term Disability, and Life Insurance
  • Comprehensive optional benefits such as Dental, Vision, Supplemental Life/AD&D, Legal/, and Accident and Critical Illness Insurance
  • Generous paid time off options, including uncapped vacation days, the greater of 3 paid sick days or in accordance with the applicable state or local paid sick leave law, 6 paid company holidays, 2 floating holidays, parental leave, bereavement leave, jury duty leave, voting leave, and other forms of paid leave as required by applicable law or regulation
  • Employee Stock Purchase Program with additional opportunities to earn stock in the Company
  • Retirement planning through the Company’s 401(k)

What you will do:

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.

The core responsibilities of this role are:
  • 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.
Required Qualifications:
  • 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, Cat Boost, Light

    GBM etc.), andized linear models (GLM) are highly valued.
  • Experience with ML model development lifecycle
Preferred Qualifications:
  • Experience with MLOps-specific tooling like Vertex AI, Kubeflow, or Clear

    ML,…
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