Senior Machine Learning Engineer, Trust & Safety
Description For Senior Machine Learning Engineer, Trust & Safety
Hinge, the dating app designed to be deleted, is seeking a Senior Machine Learning Engineer to join their Trust & Safety team. This role offers an exciting opportunity to apply AI and machine learning to create a safer dating platform for millions of users worldwide.
The position combines technical expertise in machine learning with a meaningful mission of protecting users and ensuring platform integrity. You'll be working with cutting-edge AI technologies to develop solutions for content moderation, fraud detection, and user safety, while collaborating with a diverse team of professionals.
As a senior member of the team, you'll have significant influence in shaping how Hinge utilizes AI and machine learning across various safety initiatives. The role offers competitive compensation ($204,000-$245,000) and comprehensive benefits, including generous 401(k) matching, professional development opportunities, and extensive parental leave.
The ideal candidate brings 4+ years of MLE experience, strong programming skills in Python and SQL, and expertise in deploying large-scale ML models. You'll need to demonstrate both technical excellence and leadership abilities, as you'll be guiding complex ML projects while working with cross-functional teams.
Hinge offers a collaborative and inclusive work environment, with eight Employee Resource Groups and a strong commitment to diversity and innovation. The hybrid work model in New York City provides flexibility while maintaining team connectivity. This role presents an unique opportunity to apply advanced technology to create meaningful impact in people's lives, helping them find genuine relationships in today's digital world.
Responsibilities For Senior Machine Learning Engineer, Trust & Safety
- Develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety
- Design and implement scalable systems to preprocess data, run inference, and manage post-processing pipelines
- Define standardized performance metrics, testing protocols, and evaluation processes
- Ensure ongoing assessment and refinement of AI solutions
- Collaborate with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and AI Platform Team
- Stay abreast of new trends and research in AI/ML for Trust & Safety initiatives
Requirements For Senior Machine Learning Engineer, Trust & Safety
- Strong programming skills in Python, Java or C++ and SQL
- Proficiency in at least one ML stack (e.g., PyTorch)
- Deep understanding of machine learning, deep learning, and emerging AI technologies
- Experience training and deploying large scale ML models
- Experience designing robust testing protocols for AI-driven features
- Cloud platform proficiency (GCP, AWS, or Azure)
- Data engineering knowledge and handling large datasets
- Strategic technical leadership skills
- Strong collaboration and communication skills
- 4+ years of experience as an MLE or data scientist
- 2+ years of experience in applying end-to-end machine learning models
- 1+ years of experience integrating LLMs
- 1+ years of experience with ML infrastructure
- Degree in computer science, engineering, or related field
Benefits For Senior Machine Learning Engineer, Trust & Safety
- 401(k) matching - 100% of first 10% up to $10,000 per year
- $3,000 annual Learning & Development stipend
- 20 weeks paid parental leave for both birth and non-birth parents
- Fertility support through Carrot with $10,000 preservation coverage
- $100 monthly date stipend
- Free Hinge Premium for employees and loved ones
- Eight Employee Resource Groups
- Free access to Udemy courses
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