Machine Learning Scientist - Remote
Top Benefits
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Ranking Data Scientist
Type: Contract Compensation: $95–$130/hour Location: Remote Role Responsibilities
- Apply expertise in statistics, machine learning, and programming to enhance AI model training and improve model outputs.
- Leverage computer vision, feature extraction, and machine learning algorithms to drive content "shareability" on social media platforms.
- Design and evaluate predictive models using a flexible, analytical approach for optimal data value extraction.
- Collaborate with product engineers to translate prototypes into scalable products and features.
- Provide Business Intelligence and data visualization support for customer service dashboards and ad-hoc data analysis requests.
- Conduct metric movement investigations for key recommendation products and prepare weekly leadership reports.
Qualifications Must-Have
- Master’s degree in Mathematics, Statistics, or a relevant technical field; PhD preferred.
- 5+ years of work experience in analytics.
- Fluency with SQL and Python.
- Experience with PyTorch or TensorFlow libraries.
- Experience training and using computer vision models.
- Strong written communication skills for conveying complex information.
- Experience working with large datasets.
Compensation & Legal
- Hourly contractor, Paid weekly
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
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Machine Learning Scientist - Remote
Top Benefits
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Ranking Data Scientist
Type: Contract Compensation: $95–$130/hour Location: Remote Role Responsibilities
- Apply expertise in statistics, machine learning, and programming to enhance AI model training and improve model outputs.
- Leverage computer vision, feature extraction, and machine learning algorithms to drive content "shareability" on social media platforms.
- Design and evaluate predictive models using a flexible, analytical approach for optimal data value extraction.
- Collaborate with product engineers to translate prototypes into scalable products and features.
- Provide Business Intelligence and data visualization support for customer service dashboards and ad-hoc data analysis requests.
- Conduct metric movement investigations for key recommendation products and prepare weekly leadership reports.
Qualifications Must-Have
- Master’s degree in Mathematics, Statistics, or a relevant technical field; PhD preferred.
- 5+ years of work experience in analytics.
- Fluency with SQL and Python.
- Experience with PyTorch or TensorFlow libraries.
- Experience training and using computer vision models.
- Strong written communication skills for conveying complex information.
- Experience working with large datasets.
Compensation & Legal
- Hourly contractor, Paid weekly
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,