Apera AI

Benefits:

• Generous stock option package

• Competitive compensation package

• Comprehensive health, dental and life insurance benefits

• 3 weeks paid vacation

• Flexible working hours and work from home options

Education Requirements:

• Bachelor’s degree in Technical Communication, Computer Science, Engineering, or a related field

Experience Requirements:

• 3+ years of industry work experience creating technical documentation for computer vision, AI, robotics, or automation industries

Other Requirements:

• Portfolio of work that demonstrates your ability to document technical products

Responsibilities:

• Develop, update, and maintain high-quality technical documentation, including user manuals, FAQs, and application notes for the Apera Vue vision system software

• Collaborate with cross-functional teams in-office to locate, review, and standardize existing documentation

• Create clear tutorials, instructional content, and diagrams that support user understanding and product adoption

• Ensure accuracy, consistency, and alignment with brand standards in all documentation

• Maintain up-to-date documentation in response to product updates and feature enhancements

Benefits:

• Competitive compensation package

• Employee stock option plan

Education Requirements:

• Bachelor’s degree in engineering, computer science, or a related technical field

Experience Requirements:

• 5+ years in applications engineering roles

• 2+ years in a supervisory role

Responsibilities:

• Manage Application Engineering

• Oversee Technical Support Operations

• Manage Escalation Process

• Track Reporting and Metrics

Benefits:

• Competitive compensation package

• Employee stock option plan

Experience Requirements:

• At least 3 years of experience in utilizing Machine Learning techniques for Computer Vision applications

Responsibilities:

• Research and engineering of machine learning approaches to object detection, depth estimation, pose estimation, robot grasping, motion planning, online learning, domain generalization

• Prototyping and evaluating SOTA models against Apera AI’s benchmarks

• Innovating at the edge of published research, designing, training, and evaluating methods tailored to Apera AI’s specific requirements

• Professionally apply standard methods to standard problems

• Developing innovative techniques for generating data for training neural networks