Metalenz, Inc.
Senior Software Engineer - Computer Vision Optimization
Metalenz, Inc., Boston, Massachusetts, us, 02298
Metalenz is at the forefront of driving innovation in optics with metasurface technology, providing solutions that redefine the possibilities of mobile imaging and sensing. Metalenz is the first company to bring metasurfaces to mass markets, with millions of its meta-optics already integrated in consumer devices, combining the functionality of three or four complex lenses and components into a single flat device, mass-produced in existing semiconductor foundries.
The Company's latest product, Polar ID, is a groundbreaking imaging sensor solution that can see what no other sensor can see, enabling secure and affordable face unlock for all smartphones. This system-level solution harnesses the unique capabilities of metasurface optics together with machine vision algorithms to bring a new form of sensing to mobile devices for the first time.
Metalenz is built on foundational research from Harvard University, and backed by venture arms of Intel, 3M, TDK, and others.
The Position
Metalenz is developing next-generation sensing systems for consumer electronics with metasurface technology. As a Software Engineer you will develop computer vision and image processing algorithms to work with our engineered meta-optic camera systems. A successful candidate will be able to implement existing and new computer vision algorithms for 3D scene reconstruction, segmentation, and biometric tasks.
What you'll do
Optimize machine learning model implementations and inference timesWork with TFLite, SNPE, or other embedded deep learning librariesQuantize and tune model architecture, speed, and performance while maintaining task performanceParticipate in rigorous benchmarking and analysis across model classesDeploy to mobile hardware running Android
Conceive, implement, and optimize deep learning and computer vision algorithms using our unique meta-optic capabilities to bring truly secure authentication to mass marketWork in facial identification, presentation attack detection, and scene synthesis
Implement your algorithms on our unique camera hardwareAssist software team in efficient model integration for application and service hosting the models by writing C++/JNI/KotlinCollaborate by writing documentation, engaging in code review, and commenting on design documentsWhat you'll need
MS or PhD in Computer Science, Electrical Engineering, or relevant field and/or demonstrated excellence in relevant technical domains through open source contributions or publications5+ years' experience building computer vision solutions and deploying deep learning models on mobileBroad understanding of methods and tooling, from traditional (FastCV) to deep learning approaches (i.e. PyTorch, Jax, Tensorflow) and their deployment to embedded systems (Android, C++)Knowledge of cameras, image processing, and computer vision techniquesFamiliarity with software engineering best practices (version control, data provenance, code profiling and unit tests)Knowledge of building and deploying machine learning train and test pipelines a plusProficiency in Python, C++, and JNIWhat we do
Work with consumer electronic OEMs to commercialize meta-opticsDesign next-generation optical systems for emerging consumer applications like 3D sensingWhat We Offer
We provide competitive compensationPre-IPO stock options100%, company paid premiums for employees and their dependents, such as medical, dental, and visionEmployer Health Savings Account (HSA) contributionsEmployer matching 401kPre-tax commuter plansHybrid working modelCasual dress code18 days of PTO and 12 paid company holidays10 sick days per year on a calendar basis
Metalenz is an equal-opportunity employer. The Company is committed to providing an open and inclusive environment for all of its employees. The Company prohibits any discrimination on the basis of gender, gender identity, pregnancy, race, color, religion, sexual orientation, national origin, ancestry, age, disability, veteran status, criminal record, or genetic information.
The Company's latest product, Polar ID, is a groundbreaking imaging sensor solution that can see what no other sensor can see, enabling secure and affordable face unlock for all smartphones. This system-level solution harnesses the unique capabilities of metasurface optics together with machine vision algorithms to bring a new form of sensing to mobile devices for the first time.
Metalenz is built on foundational research from Harvard University, and backed by venture arms of Intel, 3M, TDK, and others.
The Position
Metalenz is developing next-generation sensing systems for consumer electronics with metasurface technology. As a Software Engineer you will develop computer vision and image processing algorithms to work with our engineered meta-optic camera systems. A successful candidate will be able to implement existing and new computer vision algorithms for 3D scene reconstruction, segmentation, and biometric tasks.
What you'll do
Optimize machine learning model implementations and inference timesWork with TFLite, SNPE, or other embedded deep learning librariesQuantize and tune model architecture, speed, and performance while maintaining task performanceParticipate in rigorous benchmarking and analysis across model classesDeploy to mobile hardware running Android
Conceive, implement, and optimize deep learning and computer vision algorithms using our unique meta-optic capabilities to bring truly secure authentication to mass marketWork in facial identification, presentation attack detection, and scene synthesis
Implement your algorithms on our unique camera hardwareAssist software team in efficient model integration for application and service hosting the models by writing C++/JNI/KotlinCollaborate by writing documentation, engaging in code review, and commenting on design documentsWhat you'll need
MS or PhD in Computer Science, Electrical Engineering, or relevant field and/or demonstrated excellence in relevant technical domains through open source contributions or publications5+ years' experience building computer vision solutions and deploying deep learning models on mobileBroad understanding of methods and tooling, from traditional (FastCV) to deep learning approaches (i.e. PyTorch, Jax, Tensorflow) and their deployment to embedded systems (Android, C++)Knowledge of cameras, image processing, and computer vision techniquesFamiliarity with software engineering best practices (version control, data provenance, code profiling and unit tests)Knowledge of building and deploying machine learning train and test pipelines a plusProficiency in Python, C++, and JNIWhat we do
Work with consumer electronic OEMs to commercialize meta-opticsDesign next-generation optical systems for emerging consumer applications like 3D sensingWhat We Offer
We provide competitive compensationPre-IPO stock options100%, company paid premiums for employees and their dependents, such as medical, dental, and visionEmployer Health Savings Account (HSA) contributionsEmployer matching 401kPre-tax commuter plansHybrid working modelCasual dress code18 days of PTO and 12 paid company holidays10 sick days per year on a calendar basis
Metalenz is an equal-opportunity employer. The Company is committed to providing an open and inclusive environment for all of its employees. The Company prohibits any discrimination on the basis of gender, gender identity, pregnancy, race, color, religion, sexual orientation, national origin, ancestry, age, disability, veteran status, criminal record, or genetic information.