Implementation Engineer (Computer Vision)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: NY, San Francisco, or remote. supports work from home, coworking spaces, and company hubs in New York City, San Francisco, and São Paulo. The role primarily operates during US daytime hours and requires attendance at some synchronous meetings each week. Travel of approximately 25% is expected.
Salary: Target OTE of $150,000–$200,000.
Company
builds open-source and hosted computer vision tools used by more than one million developers and customers across multiple industries.
What you will do
- Manage delivery and deployment of customized computer vision solutions for customers.
- Provide post-deployment troubleshooting, debugging, education, onboarding, and adoption support.
- Partner with Sales, Solutions Architects, Product, Engineering, and customers to develop implementation strategies and delivery roadmaps.
- Analyze customer image data to answer business questions and identify computer vision improvement opportunities.
- Create technical content, sample applications, documentation, videos, and reusable implementation artifacts.
- Test and validate product features while improving implementation processes and the overall customer experience.
Requirements
- Background in computer science or a related field, with a strong technical generalist and solution-oriented mindset.
- Experience partnering with enterprise customers in post-sales delivery and implementation roles.
- Experience using and writing customized Python Colab notebooks within the machine learning development lifecycle.
- Familiarity with computer vision and data processing frameworks such as OpenCV, TensorFlow, and PyTorch.
- Strong knowledge of APIs, customer-facing communication, problem-solving, and project management for delivery timelines.
- Willingness to travel approximately 25% and work primarily during US daytime hours.
Nice to have
- Experience building projects with or contributing to open-source projects.
- Previous experience creating technical demonstrations and customer-facing content.
Culture & Benefits
- High-autonomy environment focused on ownership, accountability, hands-on building, and bias toward action.
- Distributed team across the US and Europe with optional access to hubs and in-person team events.
- $4,000 annual travel stipend, $350 monthly productivity stipend, and $350 monthly AI tools stipend.
- $150 monthly team lunch stipend and a $500 one-time home-office stipend.
- Health insurance coverage of up to 100% for employees and their partners or families, plus company equity.
- Flexible schedule supporting collaborative and asynchronous work.
Hiring process
- Application review, including LinkedIn and GitHub, with a possible technical screen.
- Hiring manager interview, technical assessment with an Implementation Engineer, and a project demo.
- Culture discussion with the Head of Operations followed by a conversation with the CEO.
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