Engineering Manager Machine Learning Ops

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 datasolutions 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. ACV’s network of brands includes ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 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/ID Protection, and Accident and Critical Illness Insurance 
• Generous paid time off options, including vacation time, sick days, Company holidays, 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)

ACV’s Machine Learning Team is looking for a talented, experienced Machine Learning Engineer, to lead the development of our machine learning operations. You will be leading a team of engineers to set up ML model training pipelines, deploying APIs around ML models, and monitoring ML models that power the ACV’s document processing, recommendations, and vehicle pricing.

What you will do:

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 internal 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:

• Leading a team of machine learning engineers to build, automate, deploy and scale ML models and pipelines in production.

• Enact ML and software development best practices for the team to follow.

• Monitoring performance and microservice health status of models in production.

• Partner with external stakeholders to prioritize, scope, and deliver ML solutions 

What you will need:

• Graduate education in a computationally intensive domain.

• 7+ years of prior relevant work or lab experience in ML projects/research

• 2+ years as tech lead or team management experience

• Advanced proficiency with Python and SQL (BigQuery/MySQL).

• Experience with building scalable REST APIs (Flask, FastAPI)

• Experience with building data pipelines (Airflow, Kubeflow, sklearn pipelines, etc.)

• Extensive knowledge of ML frameworks and libraries like Feast, XGBoost, PyTorch etc.

• Familiarity with cloud platforms and tools for scalable ML operations (e.g., AWS, GCP, Kubernetes).

Preferred Qualifications:

• Experience with ML model development lifecycles

• Prior contributions to data architecture or software architecture projects

Compensation: $150,000.00 - $200,000.00 annually. Please note that final compensation will be determined based upon the applicant's relevant experience, skillset, location, business needs, market demands, and other factors as permitted by law. .  #LI-AM!

No immigration or work visa sponsorship will be provided for this position.