Machine Learning Robotics Engineer
1 week ago
We're revolutionizing the way people live by developing a cutting-edge household robot that effortlessly picks up clutter and organizes it neatly. At Clutterbot, we understand the challenges families face in balancing work and daily responsibilities while keeping their homes tidy.
This safe and innovative robot will drive around your house, picking up toys, clothes, and other items off the floor and storing them neatly in containers. Say goodbye to clutter and hello to a more efficient and stress-free home life.
As part of our 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.
The RoleWe seek an expert Machine Learning Robotics 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.
Key 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.
To succeed in this role, you'll need:
- 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.
We offer a competitive compensation package, including:
- A salary range of $120,000 - $180,000 per year, based on experience.
- Health Insurance.
- Flexible work culture.
- Company-Sponsored Devices.
- Health/Wellness Membership Benefits.
- Team building activities.
The estimated salary range is based on national averages and may vary depending on location. We're committed to providing a fair and competitive compensation package that reflects your value to our team.
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