Principal Machine Learning Engineer/Applied Scientist, Grindr

• BS in Computer science/Math or related field
• Mastery of at least one systems languages ( Python, Java, C++) and one DL framework (Pytorch, Tensorflow, Keras) and one data analysis libraries (Pandas, R)
• Extensive experience building, deploying and maintaining end-to-end recommendation systems
• Experience in building complex, real-time systems involving AI, ML, NLP, Recommender Systems, Ads with successful delivery to customers
• Computer Science fundamentals in data structures, algorithm design and complexity analysis
• 5+ years working experience in engineering or R&D teams that build large-scale production-level ML-driven projects. Ability to take a project from requirements gathering and design to actual product launch
• Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment and expertise with Git version control

Desirable

• We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr
• In this role, you will tackle new challenges in machine learning that will have a real impact on the way people discover and interact with the world around them in the LGBT community
• You will collaborate with a world-class team of research scientists and engineers to develop new machine learning algorithms, systems, and applications that will bring step-function impact to the business metrics
• As a Principal ML engineer you will have deep subject matter expertise in the area of recommendations science
• You will work with multiple teams of engineers and product managers to translate business and functional requirements into concrete deliverables
• You will lead ground-breaking efforts in Generative AI to develop new approaches to Personalization, and provide thought leadership to scientists and engineers to invent and implement scalable ML recommendations supporting new Customer Experiences
• Lead cutting-edge algorithm development in machine learning and collaborate with other engineering teams to adopt the innovations into Grindr problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Scope and independently solve moderately complex problems; write clean, efficient, and sustainable code
• Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search