AI Engineer

San FranciscoCDImid

Data ScienceMachine Learning EngineerAI EngineerDataData & AI

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Supporting the

Requirements Summary

Analyze sensors for data acquisition (RGB, depth, LiDAR, pressure, and others) Design and implement data processing

Technical Tools

Data ScienceMachine Learning EngineerAI EngineerDataData & AI

Kickmaker is a high-tech product design and industrialization agency.

We support our customers from prototype to production run in our main vertical markets (medical, new mobility, electrification, agrotech, robotics, IOT and consumer devices) and our cross-disciplinary skills (embedded AI, high-tech manufacturing automation, eco-design, industrial design and WEB 3.0 for the economy of functionality).

We're evolving with a real maker culture! Passion, excitement and kindness are the pillars of KICKMAKER. This team and community spirit has enabled us to shape a unique corporate culture. Our approach: to enable everyone to fulfill their potential by working on exciting projects, and to encourage autonomy and initiative.

Present in France, China and the United States, our community counts over 250 passionate kickers and keeps growing. It is in this context that we are looking to strengthen our team in Boston, Seattle and San Fransisco.

Within Kickmaker, the employee will assume the role of AI engineer, with the following main responsibilities:

Supporting the qualification of Kickmaker clients’ requirements, as well as ensuring proper technical follow-up and management of projects for the assigned scope. As an integral part of the project team, he/she collaborates with other technical experts and contributes to the successful completion of the project within the defined timeline and budget.

Responsibilities

~2 min read

→Analyze sensors for data acquisition (RGB, depth, LiDAR, pressure, and others)
→Design and implement data processing architectures
→Perform business and technical analysis of data to understand underlying phenomena
→Generate real and/or synthetic datasets (using Blender or other tools)
→Implement classical algorithms
→Apply Deep Learning approaches, including the use of pre-trained networks or training custom models
→Test and analyze Deep Learning models
→Review scientific publications and identify potential opportunities
→Improve robustness and optimize Deep Learning models (e.g., deployment on microcontrollers)

More generally, the employee shall also ensure the development and maintenance of the company’s brand image with its clients and ensure compliance with applicable procedures, both in the performance of their own duties and with regard to the employees under their supervision.

The employee must remain aware of the responsibilities associated with the performance of their duties and may not claim to have been unaware of them under any circumstances.

In carrying out the responsibilities described above, and more broadly in the performance of all activities within the Company, the employee shall be placed under the direct supervision of the Executive Management of Kickmaker.