Strong Senior Computer Vision Engineer $4500-6000 Offline

About client:

We are developing disruptive technologies that revolutionise the entire food

industry: from production to distribution. Our state-of-the-art inspection models examine tonnes of fresh produce more accurately and faster than anything else in the industry. Our company reducing the cost of food. In addition, by reducing the food waste, we are decreasing the burden on the environment, and directly answering the UN's Sustainability Goal of reducing global food waste by 50%, and thus also leading to greater food security for the impoverished.

Whom we looking for?

Are you an excellent teammate, looking to work in a real startup environment, where you can contribute, learn, and influence? Are you excited about developing state-of-the-art high-performance ML products that affect millions of people?

Join us to help the world.

Responsibilities:

You will be responsible for developing state of the art models for image understanding: segmentation, classification, fusion of different modalities, etc.

The models will run at industrial scale in applications that serve our customers around the globe.

Minimum Qualifications:

● M.Sc. in Computer Science from a leading university.

● 5-7+ years of experience in computer vision.

● 4-5+ years of experience with deep learning.

● 3+ years of experience with image segmentation

● Fluent in pytorch+lightning.

● Fluent in python.

● Proven ability to drive research from an idea into production.

● Excellent teamwork skills, effectiveness both in independent and collaborative work.

● Ability to learn and use new technologies.

Preferred Qualifications

● Ph D. in Computer Science from a leading university.

● Kaggle (grand-)master level in CV competitions.

● Experience with productization of ML models at industrial scale.

● Experience with additional CV tasks: tracking, alignment, depth estimation, etc.

● Experience with

● Familiarity with model optimization tools: Triton, TensorRT, etc.

Location: Ukraine, EU

A must - A degree from a university - computer science or software engineering or similar

Hiring process:

Intro meeting - half an hour

Tech interview - 1.5 hours

home task (3 hours maximum)

1,5 hours longs interview to review the home task