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 (e.g. using Spark Kubernetes) to preprocess data run inference and manage post-processing pipelines.
• Define standardized performance metrics testing protocols and evaluation processes to measure the effectiveness identify and mitigate potential risks and ensure fairness of AI solutions.
• Ensure ongoing assessment and refinement of AI solutions incorporating user feedback business impact and emerging ethical considerations.
• Collaborate closely with Data Scientists Data Engineers Product Managers Backend Engineers and the AI Platform Team to ensure a comprehensive and coordinated approach to user safety.
• Stay abreast of new trends and research in AI/ML that can be applied to Trust & Safety initiatives to improve detection user safety and stay ahead of potential threats.

• Strong programming skills: Proficiency in languages like Python Java or C++ and SQL proficiency in at least one ML stack (e.g. PyTorch) and strong understanding of data pipelines
• Domain expertise: Deep understanding of machine learning deep learning and emerging AI technologies. Proven track record of building debugging and fine-tuning real-time machine learning models for user facing products. Experience with applying expertise to fraud detection content moderation or related fields is a plus .
• System design & architecture: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference.
• Evaluation frameworks for LLMs: Experience designing robust testing protocols to ensure effectiveness fairness and safety of AI-driven features.
• Cloud and data platform proficiency: The ability to utilize cloud environments such as GCP AWS or Azure. Familiarity with solutions like Databricks Ray or KubeFlow is a plus.
• Data engineering knowledge: Skills in handling and managing large datasets including data cleaning preprocessing and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow.
• Strategic technical leadership skills: Demonstrated track record of guiding teams through complex ML projects in alignment with product and business objectives.
• Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.
• Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation.

• 4+ years of experience depending on education as an MLE or data scientist. Previous experience working in Trust & Safety or related fields (e.g. fraud detection content moderation compliance) is preferred.
• 2+ years of experience in applying end-to-end machine learning models including data collection model training deployment and monitoring in an industry setting
• 1+ years of experience integrating LLMs in real-world applications with the appropriate baseline metrics and evaluation methodologies.
• 1+ years of experience utilizing ML infrastructure components such as a feature store model training environment model serving environment observability workflow orchestrator etc.
• A degree in computer science engineering or a related field (or equivalent practical experience).

What We Do

In today’s digital world singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and going on dates. Hinge is on a mission to change that by designing the most effective app experience. We want to create a less lonely world by inspiring intimate in-person connections. Relationships are at the core of everything we do. And not just the romantic kind. We can't accomplish really hard things alone - so we make great relationships the foundation of our teamwork. We believe these three core values are what it takes to build those great relationships: Authenticity we share - never hide - our words actions and intentions. Courage breakthroughs require a willingness to take risks and embrace lofty goals and tough challenges. Empathy we're all humans first. So we deeply consider the perspectives of others listen openly and speak with care.

Why Work With Us

We're mission-driven. While most apps think about boosting sessions and time on app we think strategically about meaningful end results (dates and relationships). We're culture-first. We believe in great people over process. Decisions are pushed to the front lines with feedback and coaching provided by our leaders.

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