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The Role
The role involves designing and developing machine learning systems, performing deep analysis, mentoring team members, and working on cross-functional projects with large-scale data.
Summary Generated by Built In
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. Use strong communication skills (verbal and written) to define and own the objectives and metrics for the team. Devise the development strategies that inform team roadmaps. Act as a technical lead for the team, including mentoring team members. Use strong communication skills (written and verbal) to 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). 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. Salary: $244,950-293,825 per year.
MINIMUM 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, the employer will accept a Master's degree or U.S. equivalent in Computer Science, Data Science, Computer Engineering, or a related field or related field, plus 3 years of professional experience performing machine learning and data science analysis.
Must also have experience in the following: 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.
CONTACT: Please email resume to [email protected]. Please specify ad code SCLL.
Top Skills
AWS
Azure
C++
GCP
Java
Kubernetes
Python
Terraform
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The Company
What We Do
Hundreds of millions of singles have used our brands' dating products to create meaningful connections. Match pioneered the concept of online dating over 25 years ago, then reinvented the category by launching Tinder. Our diverse portfolio of apps and products enables connections across the spectrum of age, gender, and dating goals.
