Rendered.AI is a leader in providing cutting-edge engineering solutions for physics-based synthetic data generation for computer vision. We are seeking a highly skilled Computer Vision Solution Engineer with experience in training and deploying object detection, classification, and segmentation models.

The ideal candidate will possess a strong foundation in computer vision, have experience working with cloud technologies like AWS, and have some exposure to PaaS/SaaS environments. Additionally, experience in collaborating with sales teams to understand customer needs and translate them into technical solutions will be a key asset. If you're passionate about solving complex problems and driving customer success in a high-growth environment, we'd love to hear from you!

Key Responsibilities:

Support customers through the full adoption lifecycle: pre-sales, solution engineering, and implementation.
Exposure to sales or customer-facing roles, with an ability to effectively communicate technical concepts to non-technical stakeholders
Design, develop, and deploy computer vision models, focusing on object detection, classification, and segmentation
Optimize and fine-tune models to ensure high performance and scalability in real-world environments
Work with cross-functional teams (e.g., product, sales, and data science) to define and solve complex vision-related problems
Utilize AWS and other cloud platforms for model deployment, scaling, and integration with cloud-based services
Participate in PaaS/SaaS implementations, leveraging the right solutions for deployment and monitoring
Collaborate with the sales team to understand client requirements and provide technical expertise during pre-sales discussions and product demos
Document model architectures, results, and processes to ensure clear communication across teams
Stay current with the latest advancements in computer vision and AI, ensuring the team's capabilities remain cutting-edge

Requirements

Must be a US citizen, reside in the US, and have the ability to obtain necessary security clearances

Education:

Master's degree in Computer Vision, Computer Science, Engineering, or a related field
Bachelor's degree in a relevant field with equivalent experience will also be considered

Experience:

6 -10 years of strong experience with training computer vision models, specifically in object detection, classification, and segmentation
Practical experience with deep learning frameworks such as TensorFlow, PyTorch, or similar
Proficient in working with cloud platforms (primarily AWS, but exposure to others like GCP or Azure is a plus)
Familiarity with SaaS/PaaS models and deployment techniques

Skill & Competencies:

Solid understanding of image processing, computer vision algorithms, and model optimization techniques
Proficiency in Python and relevant libraries (e.g., OpenCV, TensorFlow, PyTorch)
Experience with containerization technologies (Docker, Kubernetes) is a plus
Excellent problem-solving skills, with an ability to troubleshoot complex issues across various environments

Benefits

Equity
Unlimited PTO
401k with matching
50% paid Medical and Dental premiums for employees and dependents for the company's basic plan with additional premium plans offered

Why Join Us?

Impactful Work: You will play a critical role in the sales process, helping drive revenue and customer satisfaction with cutting-edge technologies
Growth Opportunities: As a rapidly growing SaaS company, we offer ample opportunities for career development and advancement
Collaborative Environment: Work alongside an experienced and dynamic team that values innovation and customer success

If you are passionate about sales engineering and excited by the opportunity to work with industry-leading SaaS products in the field of Computer Vision, we would love to hear from you!

Disclaimers:

Rendered.ai provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time, with or without notice.

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