Principal Architect, AI
S4 Capital Group
AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptPythonRayTerraform
Staff Software Engineer, Machine Learning
Match Group
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $244,950 - $293,825 per year
Job Level
Lead
Tech Stack
AWSAzureCloudGoogle Cloud PlatformJavaKubernetesPythonTerraform
About the role
- Design and develop engineering systems to deploy machine learning models
- Perform deep analysis to understand how machine learning models perform, align and work within the team to provide insights and identify new technical/business opportunities for improvements
- Perform research and experimentation in advanced machine learning methods including but not limited to deep neural networks in recommendations, vision and text modalities
- Define and own the objectives and metrics for the team and devise development strategies that inform team roadmaps
- Act as a technical lead for the team, including mentoring team members
- Work across multiple teams (including engineering, analytics, and product stakeholders) to deliver meaningful impact on cross-functional projects
- Work with big data (1.6 billion+ user swipes per day) and develop data-driven approaches to understand user profiles
- Design, implement, and apply machine learning algorithms for product features; process and analyze data to derive insights and improve product iterations
- Telecommuting permitted 3 days per week; must report to 809 Washington Street, New York, NY 10014 2 days per week
Requirements
- Bachelor’s degree or U.S. equivalent in Computer Science, Data Science, Computer Engineering, or a related field, plus 5 years of professional experience performing machine learning and data science analysis.
- In lieu of a Bachelor's degree plus 5 years of experience, employer will accept a Master's degree or U.S. equivalent in Computer Science, Data Science, Computer Engineering, or a related field, plus 3 years of professional experience performing machine learning and data science analysis.
- 3 years of professional experience designing and building highly scalable distributed machine learning models for business to consumer mobile applications
- 3 years of professional experience developing deep learning models for computer vision, natural language processing, or recommendation systems
- 3 years of professional experience developing data processing and data pipelines at large scale
- 3 years of professional experience handling large volumes (10M+ MAU) of data and performing data science analysis in a disturbed manner, deriving insights from the data, and strategizing new business opportunities
- 3 years of professional experience performing machine learning and data science analysis (including leading and collaborating with the design, analytics, and development teams across web and apps) and data science analysis to identify new business opportunities
- 3 years of professional experience utilizing Python, Java, or C++
- 3 years of professional experience training and deploying large scale Machine Learning (ML) models, including DNNs
- 2 years of professional experience working on a cloud environment including GCP, AWS, or Azure, and with dev-ops tooling including Kubernetes or Terraform
Benefits
- Telecommuting permitted 3 days per week
- Salary: $244,950-293,825 per year.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata science analysisdeep learningcomputer visionnatural language processingrecommendation systemsdata processingdata pipelinesPythonJava
Soft skills
mentoringcollaborationcommunicationleadershipstrategizing
Certifications
Bachelor's degreeMaster's degree
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