Machine Learning Engineer III, Monk

Who we are looking for:
Monk is leading the way in AI-driven innovation with its advanced damage detection technology for vehicles, enabling seamless integration into web and native applications via APIs. Our machine learning expertise is trusted by global leaders like our parent company ACV Auctions (USA), CAT Logistics (Europ Getaround (France), Autobiz (Europe), and Hgreg (Canad We are looking for a Machine Learning Scientist in Computer Vision who thrives on taking ownership, delivering impactful results, and driving innovation. If you're someone who can align with business needs, ensure timely delivery, and elevate the team's capabilities, we’d love to have you on board. This role is your opportunity to lead game-changing projects, create tangible value, and shape the future of AI technology in the automotive space.

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:

Languages: Python, SQL
Libraries/Frameworks: PyTorch ecosystem, a touch of OpenCV and Scikit-learn
Tools: Jupyter, DBT, Docker
Infrastructure: GCP, Kubernetes, BigQuery Version Control: GitHub

Background and Skills:

Required Skills
5+ years of experience in computer vision, data science or related fields, wita 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 productionenvironments.
A proactive approach to aligning with business needs and driving team-wideinnovation.
Strong communication skills to explain technical concepts to non-technicalstakeholders.
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-pacedenvironments.