Computer Vision Engineer

ACV Auctions

Required skills

Website: acvauctions.com
Company: https://www.linkedin.com/company/acv-auctions
Industries: Environmental Services
Job details:

What you will do:

Own the end-to-end development of machine learning models and datasets to solve critical business challenges and meet product needs.
Drive innovation by continuously tracking and integrating state-of-the-art advancements of computer vision and deep learning into Monk’s AI solutions
Identify and solve key business problems with data-driven, actionable insights.
Deliver high-impact results through meticulous planning, rigorous testing, and smooth deployment of machine learning solutions.
Mentor and support junior team members, cultivating a culture of excellence and collaboration.
Machine Learning Scientist CV Collaborate with product, business, and technical teams to align on priorities, estimate efforts, and adapt to feedback.
Ensure long-term reliability and scalability through robust documentation and testing practices.

Tech Stack Utilized:

Background and Skills:

Required Skills
5+ years of experience in computer vision, data science or related fields, with a proven track record of delivering impactful results.
Strong foundation in machine learning, computer science, statistical modeling, and data processing pipelines.
Proficiency in Python and SQL for data manipulation and model development.
Solid experience deploying machine learning models into production environments.
A proactive approach to aligning with business needs and driving team-wide innovation.
Strong communication skills to explain technical concepts to non-technical stakeholders.
Fluent in English, enabling effective collaboration across global teams.
Desired Background
Master’s or Ph.D. in Data Science, Computer Science, or a related field
Experience in B2B SaaS, automotive technology, or AI-driven startups.
Knowledge of working with distributed teams across time zones.
A proactive mindset, with the ability to work autonomously in fast-paced environments.

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