88 applicants
Chan Zuckerberg Biohub Network · 2 days ago
AI / ML Engineer - New Algorithms for Cryo ET
Redwood City, CA
Full-time
Onsite
Senior Level
$131K/yr - $180K/yr
3+ years exp
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Maximize your interview chancesBioinformatics
Insider Connection @Chan Zuckerberg Biohub Network
Responsibilities
Develop robust unsupervised computer vision algorithms for segmenting and denoising raw cryo-EM data.
Tailor established unsupervised computer vision algorithm methods for unique obstacles in cryo-EM data processing.
Facilitate, manage, and maintain training of large models on distributed systems.
Collaborate with individuals within and outside of CZI.
Engage in enhancing various aspects of a large computational pipeline.
Qualification
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Required
A Master's degree in Software Engineering or Machine Learning
At least 3 years experience working with AI/ML tools and Algorithms
Have experience in representation learning techniques, including expertise in unsupervised and self-supervised learning methods, dimensionality reduction, and feature extraction and the ability to create meaningful and high-quality data representations that facilitate downstream tasks
A track record of creating innovative algorithms that address specific challenges in computer vision, inverse problems, and related fields, including a proven ability to adapt and combine existing techniques or develop novel approaches to solve complex problems
Expertise in programming languages commonly used in machine learning and computer vision, such as Python, C++, and/or CUDA with a demonstrated ability to write efficient, scalable, and well-documented code
Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) and a solid understanding of neural network architectures for tasks like image recognition, segmentation, and generative modeling
Effective teamwork and communication skills, including the ability to work collaboratively in cross-functional teams, present complex technical concepts to non-technical stakeholders, and contribute to the growth and mentorship of junior team members
Demonstrated proficiency in designing, implementing, and optimizing machine learning algorithms for various applications, with a focus on computer vision and image analysis
Proficiency in computer vision techniques, including object detection, image segmentation, feature extraction, and image classification
Developed experience in reconstructing from incomplete or noisy data (Inverse Problem) and proficiency in employing regularization techniques and optimization algorithms to stabilize and solve such problems effectively
Proficiency in implementing and adapting numerical algorithms to address challenges in machine learning and image processing
Preferred
A PhD in Software Engineering or Machine Learning
In-depth knowledge of advanced mathematical concepts and their practical application to real-world problems, including familiarity with linear algebra, calculus, optimization, and statistics, particularly as they pertain to machine learning and computer vision
Strong understanding of numerical methods and their application in solving complex mathematical problems
History of research and innovation in machine learning and computer vision, demonstrated through publications, conference presentations, or project outcomes with an ability to stay updated with the latest advancements in the field
Benefits
Healthcare coverage
Life and disability insurance
Commuter subsidies
Family planning services with fertility care
Childcare stipend
401(k) match
Flexible time off
Generous parental leave policy
Company
Chan Zuckerberg Biohub Network
Chan Zuckerberg Biohub Network is a non-profit organisation.
201-500 employees
H1B Sponsorship
Chan Zuckerberg Biohub Network has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2022 (9)
2021 (15)
2020 (9)
Funding
Current Stage
Growth StageLeadership Team
Rafael Gómez-Sjöberg
Chief Technology Officer
Eunitz Beganovic
Executive Assistant to the Chief Legal Officer
Recent News
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