Applied Scientist, AGI Customization: Enterprise Model Tuning
Amazon
Cambridge (MA)
On-site
USD 142,800 - 193,200
Full time
14 days+
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Benefits offered by this job
Health insurance
401(k) matching
Paid time off
Parental leave
Job summary
A leading tech company is seeking an Applied Scientist for their AGI Customization Team in Cambridge, MA. This role focuses on developing cutting-edge services for model customization and involves collaborating with teams to optimize model accuracy. The ideal candidate should have a PhD or Master's degree in a relevant field and at least 3 years of experience in model development. You will be instrumental in enhancing model training techniques and presenting your findings to diverse stakeholders. A comprehensive compensation package is offered, including health benefits and stock options.
Qualifications
3+ years of model building experience.
PhD or Master’s degree with relevant experience.
Experience in patents or publications.
Responsibilities
Develop novel customization techniques for models.
Collaborate to design tooling on Amazon SageMaker.
Optimize model accuracy and cost.
Skills
Model building for business applications
Programming in Java, C++, Python
Algorithms and data structures
Machine learning model training
Deep learning model design and optimization
Education
PhD in computer science or related field
Master’s degree in related field with experience
Tools
TensorFlow
PyTorch
MXNet
Job description
A leading tech company is seeking an Applied Scientist for their AGI Customization Team in Cambridge, MA. This role focuses on developing cutting-edge services for model customization and involves collaborating with teams to optimize model accuracy. The ideal candidate should have a PhD or Master's degree in a relevant field and at least 3 years of experience in model development. You will be instrumental in enhancing model training techniques and presenting your findings to diverse stakeholders. A comprehensive compensation package is offered, including health benefits and stock options.