Machine Learning Scientist

Key Skills

Java Programming, Python Programming, Framework, SQL, Git, Machine learning techniques, Data science techniques, Data Conversion System (DCS), Keras software library, NumPy, Pandas, PyTorch, TensorFlow, XGBoost, Google Cloud Platform (GCP), Scikit-learn, MLOps tools, NeurIPS, Data Engineering, ETL frameworks

Job Description

We strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. Bumble is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know.

In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).

Machine Learning Scientist

We strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. Bumble is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know.

In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).

INTRO

Bumble is looking for machine learning scientists to join our team and play a key role fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, this means exploring, developing and deploying state of the art machine learning models that help Bumble provide a safe and engaging experience for our users and improve the way Bumble operates.

With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people to find love all over the world! The ideal candidate combines strong business acumen, extensive experience in machine learning applications along with a passion for tech.

WHAT YOU WILL BE DOING

• Work in a cross-functional team alongside data scientists and machine learning engineers
• Set up and conduct large-scale experiments to test hypotheses and drive product development
• Implement cutting-edge machine learning models for measurable impact across the business
• Partner with business functions and engineering teams to help frame problems into scalable AI solutions and solve key problems by leveraging the large and complex datasets at our disposal
• Collaborate with Product Management to establish roadmaps and define key metrics to optimise for aligned with Bumbled strategic objectives
• Mentor and coach team members on AI and ML techniques
• Drive improvements to our current AI infrastructure in terms of process, performance and testing
• Keep up with state-of-the-art research with the opportunity to create prototypes for the business and publish at top conferences

WE’D LOVE TO MEET SOMEONE WITH

• An advanced degree in Computer Science, Mathematics or a similar quantitative discipline - a Ph.D. is a bonus
• Hands on experience in delivering machine learning models to production at scale - from data exploration and conception to deployment and maintenance
• High familiarity with python data science and machine learning libraries such as scikit-learn, TensorFlow, Keras, pandas, numpy, PyTorch, XGBoost
• Understanding of software development life cycle processes and tools - ETL pipelines, CI/CD, MLOps, agile methodologies, version control (git), testing frameworks
• Experience accessing and combining data from multiple sources and building data pipelines
• Strong statistical modelling background - hypotheses testing, inference, regressions, random variables
• Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders
• Ability to combine business intuition with the application of advanced solutions
• A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities
• A curious mind, self-starter and endlessly keen to learn and develop themselves professionally

AN ADDED BONUS IF YOU HAVE

• An understanding of multi-sided markets and/or dating problem space
• Experience with cloud infrastructures - GCP is a plus
• Publications in top data science conferences like KDD, ECML, NeurIPS