Staff Software Engineer, Hinge
Machine Learning
$244.9-293.8k
2 days a week in office
Dating app for meaningful relationships
Be an early applicant
Dating app for meaningful relationships
201-500 employees
Be an early applicant
$244.9-293.8k
2 days a week in office
201-500 employees
Company mission
To help singles build meaningful relationships by connecting in person, helping people to get off dating apps.
Role
Who you are
- 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
- 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
What the job involves
- 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
Our take
Hinge is a dating app that sets itself apart from its competitors by focusing on relationships over hookups. It predominantly caters to people looking for long-term commitments. It has abandoned the “swipe” approach that’s often associated with game-like dating apps, such as Tinder, and instead it focuses on in-depth profiles and compatibility recommendations to help users better connect with each other.
In 2019, 50% of single people in the US had never used a dating app. Now, online dating has become part of the new normal, and Hinge’s focus on long-term, meaningful relationships is well-positioned to tap into the current desire for companionship and stability, as well as the growing market trend toward online dating.
The "dating app designed to be deleted" is the fastest-growing dating app on the market and is seeing further success following new capability expansions and acquisition by dating app portfolio Match Group in 2019. All this being said, there is growing concern over fake accounts and fraudulent activity on Hinge, as there is with other competing dating apps. Pricing tiers and more robust regulations for profiles are currently combatting this.
Freddie
Company Specialist at Welcome to the Jungle
Insights
48% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2014
$12m
SERIES A
Jul 2014
$4.5m
CONVERTIBLE
Total funding: $20.6m
Company benefits
- Equal opportunity employer
- 401k plan
- Accrual time off model
- Stocked kitchen
- Monthly date stipend
- Pet friendly
- Work from home opportunities
- Health insurance
Company HQ
West Village, New York, NY
Leadership
Justin McLeod
(CEO)Having studied at Colgate University and Harvard Business School, Justin founded Hinge in February 2011. He has served as CEO since.
Salary benchmarks
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