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The Opportunity
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 (Europe), Getaround (France), Autobiz (Europe), and Hgreg (Canada).
We are looking for a Senior Data 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.
The Mission
Responsibilities
- 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.
- 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
- 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 & 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.
Contract, Benefits & Interview Process
Contract
- Type: CDI (Full-Time)
- Start Date: From December 1st
- Location: Paris, France
- Work Mode: Hybrid remote options available
Benefits
- At Monk, we prioritize your well-being with a comprehensive benefits package, including:
- Hybrid work options with flexible remote opportunities.
- Meal vouchers (Swile) and fitness memberships (Gymlib).
- Competitive salary, annual bonuses, and stock options.
- A collaborative workspace at WeWork Coeur Marais in Paris.
- An ambitious team dedicated to cutting-edge AI innovation.
Interview Process
- Fit Interview (30 min)
- Technical Problem-Solving Interview (1 hr)
- Case Study Presentation (1 hr)
- C-Level Interview (30-45 min)
- Monk is an equal-opportunity employer, embracing diversity and fostering inclusivity.
We want you to bring your whole human self to work every day. We accept you for who you are and consider everybody on an equal opportunity basis without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status Monk collects your personal data for the purposes of managing Monk's recruitment related activities. Consequently.
Monk may use your personal data in relation to the evaluation and selection of applicants. Your information will be accessible to Monk and its affiliated entities across the world. By submitting your application, you expressly give your consent to this use and processing of your personal data.
We want you to feel comfortable being yourself at work every day. We accept you for who you are and consider everybody, on an equal opportunity basis, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, national origin, genetics, state of health, disability, age, marital status, political opinions, or military status or any other characteristic protected by law. If you have a disability or special need that requires reasonable accommodation, please let us know.
If you submit an application, Monk collects your personal data for the purposes of managing Monk's recruitment related activities. Consequently, Monk may use your personal data in relation to the evaluation and selection of applicants. Your information will be accessible to Monk and its affiliated entities across the world. By submitting your application, you expressly give your consent to this use and processing of your personal data
