Job summary
Job post source
This job is from a recruiting firm hiring for a separate company
Job overview
The Deep Learning Engineer role involves creating and deploying advanced networks for 3D scene understanding, significantly impacting the company's innovative technology in various sectors.
Responsibilities and impact
Daily responsibilities include developing and implementing deep learning pipelines for tasks such as semantic segmentation, depth estimation, and object detection.
Compensation and benefits
The position offers a base salary up to $205K, pre-IPO RSUs, comprehensive medical benefits, a 401(k) plan with matching, and generous paid time off policies.
Experience and skills
Candidates should have over 3 years of experience in machine learning and computer vision, proficiency in Python and PyTorch, and a relevant degree, with additional qualifications being a plus.
Company information
The company specializes in 3D perception technology using passive sensors, serving sectors like automotive and healthcare, with headquarters in Silicon Valley.
Job location and travel
This position is fully and permanently remote within the U.S.
Company overview
Gyga Force is a MEMS foundry company based in Sunnyvale, CA, specializing in providing fabless sensor chip solutions. They generate revenue by offering manufacturing services for micro-electromechanical systems (MEMS) to various clients. The company is actively hiring for multiple positions, including roles such as Director of Hardware Engineering, Operations Manager, and MEMS Foundry Manager, indicating ongoing growth and expansion.
How to land this job
Tailor your resume to showcase your solid background in machine learning and computer vision, emphasizing your experience in creating and implementing deep learning pipelines, particularly for image and video data.
Highlight your proficiency in Python and extensive knowledge of PyTorch, ensuring these skills stand out in your resume to align with the job's technical requirements.
Apply through multiple platforms, including Gyga Force's corporate site and LinkedIn, to maximize your chances of being seen by hiring managers.
Connect with professionals in the relevant division at Gyga Force on LinkedIn to inquire about the position; potential ice breakers could include asking about their experience with 3D scene understanding or discussing recent advancements in deep learning technologies.
Optimize your resume for ATS systems by incorporating keywords from the job description, such as 'semantic segmentation,' 'depth estimation,' and 'object detection' to improve your chances of passing initial screenings.
Utilize Jennie Johnson's Power Apply feature to streamline your application process, ensuring that your resume is tailored, applications are submitted through the best channels, and you are connected with the right people to enhance your job search.
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