ML Engineer II
3 months ago
About Clutterbot
Imagine a world where you never have to worry about picking up clutter again At our robotics startup, we understand the challenges families face trying to balance work and daily responsibilities while keeping their homes tidy. That's why we're developing a cutting-edge household robot that will revolutionize the way you live. This safe and innovative robot will drive around your house, effortlessly picking up toys, clothes, and other items off the floor and organizing them neatly into containers. Say goodbye to clutter and hello to a more efficient and
stress-free home life
As part of our close-knit team, you'll have the opportunity to work on cutting-edge technology and be at the forefront of the robotics industry. You'll also have the chance to grow your skills and expertise through collaboration with experienced professionals in the field. Join us in building the future of home automation and experience a fulfilling and rewarding career journey
About The Role
We seek a motivated ML Engineer to join our team and specialize in core deep learning and computer vision.
You will be responsible for developing and fine-tuning deep-learning models that enhance our robot's capabilities. You will play a critical role in ensuring that our ML models are robust, scalable, and efficient
Responsibilities
● Develop and deploy deep learning models for computer vision tasks such as semantic segmentation, object detection, and image classification.
● Fine-tune and optimize deep learning models to improve performance and efficiency.
● Work closely with the data science team to identify key metrics and data sources for fine-tuning the deep learning models.
● Develop and implement algorithms and models that efficiently learn from new data and adapt to changing environmental conditions.
● Develop and implement data processing pipelines to efficiently extract features and label data for ML model training.
● Collaborate with cross-functional teams, including software engineers and product managers, to ensure successful delivery of ML models.
● Stay up-to-date with the latest developments in deep learning and make recommendations for improvements to ML models and training pipelines
Requirements
● Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
● 3+ years of experience in deep learning engineering, focusing on developing and deploying DL models.
● Experience training and deploying deep learning computer vision models such as semantic segmentation, object detection, and image classification.
● Strong programming skills in Python or similar languages.
● Strong experience with popular deep learning frameworks such as TensorFlow or PyTorch.
● Strong experience with data processing and feature extraction techniques.
● Experience in working on deep learning model training and optimization for edge devices such as Nvidia Jetson.
● Familiarity with on-device learning and the challenges associated with it.
● Strong problem-solving and analytical skills, with the ability to analyze complex systems and identify areas for improvement.
● Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
If you are a highly motivated ML Engineer and passionate about developing on-device learning solutions for home robots, we encourage you to apply for this exciting opportunity. You will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of data scientists and software engineers to create innovative solutions for our customers
Benefits
-Competitive compensation package
-Health Insurance
-Flexible work culture
-Company-Sponsored Devices
-Health/Wellness Membership Benefits
-Team building activities
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