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instacart

Principal Computer Vision Engineer

Join Instacart as a Principal Computer Vision Engineer to drive the next generation of visual intelligence for our platform. This senior role requires designing, developing, and deploying state-of-the-art computer vision models that solve real-world retail and supply chain challenges. You will be responsible for leading complex projects involving object detection, segmentation, pose estimation, and video analysis. Key tasks include optimizing model performance on edge devices, implementing robust ML pipelines, and collaborating with cross-functional teams to define product roadmaps. The ideal candidate is a subject matter expert in deep learning frameworks (e.g., TensorFlow, PyTorch) and possesses significant experience taking vision research from proof-of-concept to scalable production systems within a fast-paced, global environment.

instacart Israel - Hybrid (3 days/week in office required), Israel

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2500

Question set

300

Duration

Permanent

Focus areas

Computer VisionDeep LearningPythonMachine LearningImage Processing

People Also Ask (FAQs)

What is the last date to apply for Principal Computer Vision Engineer?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Principal Computer Vision Engineer?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the instacart test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Principal Computer Vision Engineer test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Computer Vision, Deep Learning, Python, Machine Learning, Image Processing.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

Prepare for this test

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