Senior Machine Learning Engineer, Caper
Instacart
Senior Machine Learning Engineer, Caper
Job Description
Responsibilities
- Drive end-to-end ML solutions from research to production
- Develop multimodal models to fuse the signals from our various sensors
- Implement sophisticated model architectures, training and evaluation pipelines
- Deploy models at the edge on Nvidia Jetson platform
- Build infrastructure for collecting, processing and storing sensor data
- Influence system design and product vision by making informed decisions
Required Qualifications
- Master or Ph.D degree in ECE, Computer Science, Applied Maths or related fields.
- 3+ years experience in any of the following: sensor fusion, transformers, multi-modals, video understanding, and action/activity recognition
- Strong communication and presentation skills who can collaborate with diverse stakeholders
- Strong programming skills with one or more of these languages: Python, C++, Java/Kotlin
- Strong skills in data science tools (SQL, Pandas,..), and machine learning frameworks (Pytorch, Tensorflow, Scikit-learn, ...)
- Proven records on driving end-to-end ML solutions from research to production
Preferred Qualifications
- Experience in designing and implementing end-to-end ML system that can fuse multi-modality data and understand/interpret a complex spatial-temporal problem
- Knowledge of modern visual-language models and multi-modal AI systems
- Familiarity with A/B testing and experimentation methodologies in industrial settings
- Independent and self starter with the ability to identify and solve problems
Required Skills
- sensor fusion
- transformers
- multi-modals
- video understanding
- action/activity recognition
- Python
- C++
- Java/Kotlin
- SQL
- Pandas
- Pytorch
- Tensorflow
- Scikit-learn
- Nvidia Jetson platform
- communication and presentation skills
Benefits
- Highly market-competitive compensation
- New hire equity grant as well as annual refresh grants
Salary Range
$169000 - $226000 USD
Locations
- San Francisco, CA, United States, San Francisco, CA, United States
Salary
169,000 - 226,000 USD / yearly
Skills Required
- sensor fusionintermediate
- transformersintermediate
- multi-modalsintermediate
- video understandingintermediate
- action/activity recognitionintermediate
- Pythonintermediate
- C++intermediate
- Java/Kotlinintermediate
- SQLintermediate
- Pandasintermediate
- Pytorchintermediate
- Tensorflowintermediate
- Scikit-learnintermediate
- Nvidia Jetson platformintermediate
- communication and presentation skillsintermediate
Required Qualifications
- Master or Ph.D degree in ECE, Computer Science, Applied Maths or related fields. (experience)
- 3+ years experience in any of the following: sensor fusion, transformers, multi-modals, video understanding, and action/activity recognition (experience)
- Strong communication and presentation skills who can collaborate with diverse stakeholders (experience)
- Strong programming skills with one or more of these languages: Python, C++, Java/Kotlin (experience)
- Strong skills in data science tools (SQL, Pandas,..), and machine learning frameworks (Pytorch, Tensorflow, Scikit-learn, ...) (experience)
- Proven records on driving end-to-end ML solutions from research to production (experience)
Preferred Qualifications
- Experience in designing and implementing end-to-end ML system that can fuse multi-modality data and understand/interpret a complex spatial-temporal problem (experience)
- Knowledge of modern visual-language models and multi-modal AI systems (experience)
- Familiarity with A/B testing and experimentation methodologies in industrial settings (experience)
- Independent and self starter with the ability to identify and solve problems (experience)
Responsibilities
- Drive end-to-end ML solutions from research to production
- Develop multimodal models to fuse the signals from our various sensors
- Implement sophisticated model architectures, training and evaluation pipelines
- Deploy models at the edge on Nvidia Jetson platform
- Build infrastructure for collecting, processing and storing sensor data
- Influence system design and product vision by making informed decisions
Benefits
- general: Highly market-competitive compensation
- general: New hire equity grant as well as annual refresh grants
Tags & Categories
Senior Machine Learning Engineer, Caper
Instacart
Senior Machine Learning Engineer, Caper
Job Description
Responsibilities
- Drive end-to-end ML solutions from research to production
- Develop multimodal models to fuse the signals from our various sensors
- Implement sophisticated model architectures, training and evaluation pipelines
- Deploy models at the edge on Nvidia Jetson platform
- Build infrastructure for collecting, processing and storing sensor data
- Influence system design and product vision by making informed decisions
Required Qualifications
- Master or Ph.D degree in ECE, Computer Science, Applied Maths or related fields.
- 3+ years experience in any of the following: sensor fusion, transformers, multi-modals, video understanding, and action/activity recognition
- Strong communication and presentation skills who can collaborate with diverse stakeholders
- Strong programming skills with one or more of these languages: Python, C++, Java/Kotlin
- Strong skills in data science tools (SQL, Pandas,..), and machine learning frameworks (Pytorch, Tensorflow, Scikit-learn, ...)
- Proven records on driving end-to-end ML solutions from research to production
Preferred Qualifications
- Experience in designing and implementing end-to-end ML system that can fuse multi-modality data and understand/interpret a complex spatial-temporal problem
- Knowledge of modern visual-language models and multi-modal AI systems
- Familiarity with A/B testing and experimentation methodologies in industrial settings
- Independent and self starter with the ability to identify and solve problems
Required Skills
- sensor fusion
- transformers
- multi-modals
- video understanding
- action/activity recognition
- Python
- C++
- Java/Kotlin
- SQL
- Pandas
- Pytorch
- Tensorflow
- Scikit-learn
- Nvidia Jetson platform
- communication and presentation skills
Benefits
- Highly market-competitive compensation
- New hire equity grant as well as annual refresh grants
Salary Range
$169000 - $226000 USD
Locations
- San Francisco, CA, United States, San Francisco, CA, United States
Salary
169,000 - 226,000 USD / yearly
Skills Required
- sensor fusionintermediate
- transformersintermediate
- multi-modalsintermediate
- video understandingintermediate
- action/activity recognitionintermediate
- Pythonintermediate
- C++intermediate
- Java/Kotlinintermediate
- SQLintermediate
- Pandasintermediate
- Pytorchintermediate
- Tensorflowintermediate
- Scikit-learnintermediate
- Nvidia Jetson platformintermediate
- communication and presentation skillsintermediate
Required Qualifications
- Master or Ph.D degree in ECE, Computer Science, Applied Maths or related fields. (experience)
- 3+ years experience in any of the following: sensor fusion, transformers, multi-modals, video understanding, and action/activity recognition (experience)
- Strong communication and presentation skills who can collaborate with diverse stakeholders (experience)
- Strong programming skills with one or more of these languages: Python, C++, Java/Kotlin (experience)
- Strong skills in data science tools (SQL, Pandas,..), and machine learning frameworks (Pytorch, Tensorflow, Scikit-learn, ...) (experience)
- Proven records on driving end-to-end ML solutions from research to production (experience)
Preferred Qualifications
- Experience in designing and implementing end-to-end ML system that can fuse multi-modality data and understand/interpret a complex spatial-temporal problem (experience)
- Knowledge of modern visual-language models and multi-modal AI systems (experience)
- Familiarity with A/B testing and experimentation methodologies in industrial settings (experience)
- Independent and self starter with the ability to identify and solve problems (experience)
Responsibilities
- Drive end-to-end ML solutions from research to production
- Develop multimodal models to fuse the signals from our various sensors
- Implement sophisticated model architectures, training and evaluation pipelines
- Deploy models at the edge on Nvidia Jetson platform
- Build infrastructure for collecting, processing and storing sensor data
- Influence system design and product vision by making informed decisions
Benefits
- general: Highly market-competitive compensation
- general: New hire equity grant as well as annual refresh grants
Tags & Categories