How You’ll Make an Impact:
- Explore, design and build AI prototypes capable of significantly altering our users’ experiences
- Work in close collaboration with Data Scientists to build and deployed in production ML solutions/agents, test new algorithms, provide feedback on their performance, accuracy and scalability, also suggest alternatives.
- Write optimized code that is performant, scalable, testable, maintainable and observable
- Design scalable solutions to productionize machine learning models
- Develop tools and pipelines for tracking models and experiments
- Design and implement data pipelines that ingest vast amounts of real-time data to power models and generate accurate results
- Manage ML models/Agent lifecycle, including versioning, training, retraining, deploying and monitoring
- Be responsible for maintaining and operating algorithms, codes and models in production and monitor models in production to make sure that they are functioning and report on any anomalies
- Research/Investigate tools and technologies that would enable us to build and release faster
- Layout best practices for ML engineering functional role
- Evangelize a data-driven culture and participate in a highly collaborative environment. We want you to share your expertise!
We Could Be a Match if You Have:
- B.S., M.S or PhD in computer science (or a scientific discipline coupled with substantial engineering experience)
- Minimum of 5+ years post graduation experience as a Machine Learning Engineer, Software Engineer with algorithm experience, Data Scientist or similar.
- Minimum of 3+ years experience building and productionalizing agent based solutions within a commercial application in collaboration with product owner and deploying and operating LLM solutions to support business feature development
- Significant experience in cutting edge deep learning techniques and associated tools (such as PyTorch/Tensorflow)
- Excellent programming skills with history of deployment to production and you have a proven track record of scaling and productionizing machine learning solutions and models
- Solid understanding of mathematical modeling and statistics: inference, Bayesian methods, graphical models, network theory, likelihood estimation, Monte-Carlo methods and sampling theory
- Understanding of how to optimize machine learning models (parallelization, batching techniques, etc)
- Ability to rapidly acquire and adopt new knowledge and techniques but also thinks creatively about problems and not afraid to go “outside the box”
- Proficient with standard SQL and relational databases
- Familiarity with Python and associated data science/machine learning packages
- Comfortability working independently on large projects (demonstrated via industry or academic experience) or as part of a diverse team of different skills as necessary
- Ability to see the “big picture” and how your work relates to POF’s entire business - and the ability prioritize your research work accordingly
- Experience with GCP or other cloud providers
Top Skills
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.
Gallery
Hinge Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Hinge believes in the power of in-person connection. We have adopted a hybrid model that allows our people to stay connected to each other in-person.
