[HIRING][INDIA Onsite / Remote]
Website: www.blendnow.com
About Blend:
We shop with our eyes - not with our fingers. Visuals inspire purchase.The way a product looks in photos and videos is the most important investment on websites, marketplaces and socials.Our mission is to enable merchants to sell like a pro on the internet.To execute our mission, we’re working on some of the toughest problems in engineering and machine learning.
Our mission is as much a product as a marketing one.
As a Deep Learning Engineer at blend you will be building DL models which does:
Background Removal:Removes foreground from background using image matting techniques.
Object Detection and image classification:
Skills we’re looking for
Experience in working with Image segmentation models
Well versed in Deep Learning frameworks like PyTorch, TensorFlow etc.
Python programming
3+ years of experience in Deep learning
Knowledge in TensorRT and model quantization is a plus
Constant updates with new researches in the domain
Responsibilities
This is a very important role. You will work with the founders and machine learning team to focus on turning cutting edge vision research into compelling product experiences.
You will help identify the right research tasks to focus on. And also, set strategy on how we can bring these tasks to market in our products. Finally, deploy these models to production
End to End DL solution: You will work across the entire lifecycle of ML product development: building datasets, developing models and evaluating performance in production environments.
Prioritising deliverables over other experiments.
If you join us, you’ll be an early team member in helping shape:
Our future company culture
Our engineering practices
People that we hire
The direction & focus of our products
Hiring process:
4**-steps process:**
[30 min] Meet and Greet:
A screening call with a founder to get to know each other and resolve any doubts about the role and your candidature
[60 mins] Round 1 of technical discussions with a team member and discussing an assignment, which we assure is going to be fun and get you a glimpse of working at Blend.
[2 - 3 hours] You finishing up the assignment async and get back to us with your findings
[30 - 60 mins] Presenting your findings to the team.
[60 - 90 mins] A bar raiser tech discussion round with an external interviewer.
[60 mins]Cultural fit interview with the founders.
Hi,
What you are wanting done is well within my area of expertise and I would be interested in this position.
You can reach me on andrewjohnson.56782@gmail.com
Cheers and Have a great day ahead,
Andrew
I’m genuinely excited about the opportunity to join Blend as a Deep Learning Engineer. The emphasis on leveraging visuals to enhance online shopping experiences resonates deeply with my professional interests and personal beliefs in the transformative power of AI in e-commerce. Your mission to empower merchants to sell like pros using cutting-edge engineering and machine learning solutions is inspiring, and I’m eager to contribute to making this vision a reality.
With over 3 years of experience in deep learning, particularly in image segmentation and object detection, I have developed a robust skill set that aligns well with the responsibilities outlined in the job posting. My expertise in PyTorch, TensorFlow, and Python programming, combined with a constant pursuit of the latest research in the domain, positions me well to contribute to Blend’s innovative projects. Moreover, my interest in model optimization techniques, including TensorRT and model quantization, could add value to your efforts in deploying efficient DL models in production environments.
The role’s focus on turning cutting-edge vision research into compelling product experiences is particularly appealing to me. I am enthusiastic about the prospect of working closely with the founders and the machine learning team to prioritize research tasks and strategize their market implementation. The emphasis on an end-to-end DL solution approach aligns with my professional experience and my passion for seeing projects through from conception to deployment.
I am also drawn to the opportunity to be an early team member at Blend, potentially influencing the company culture, engineering practices, and the direction of your products. The hiring process outlined is thoughtful and seems like a great way to ensure mutual fit.
I have filled out the Google form as requested and am looking forward to the possibility of discussing my candidacy further. Thank you for considering my application. I am excited about the possibility of contributing to Blend’s mission and being part of your team’s journey.