Join a high-impact ML team building state-of-the-art systems that optimize experiences for billions of users. You'll tackle challenging problems across diverse datasets – with the freedom to explore novel approaches and infrastructure to deploy them at scale.
What Success Looks Like:
Short-term: Ship your first production model with measurable impact within 3 months.
Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
Your Impact:
Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
What You'll Gain:
Work on real-time ML systems at scale with rich, diverse data
Autonomy to define problems and drive projects from idea to impct
Freedom to explore emerging techniques and expand your scope
Fast feedback loops through strong experimentation infrastructure
What you'll be doing:
Design and deploy ML systems that optimize user engagement and advertising performance – build models that operate at scale (millions of users) with real-time inference requirements
Own end-to-end ML and GenAI projects – from identifying business opportunities and defining problems, through research and prototyping, to production deployment and impact measurement
Explore and implement cutting-edge ML approaches – research novel architectures (transformers, neural recommender systems, transfer learning) and adapt them to solve practical business challenges
Drive rapid experimentation and iteration – leverage A/B testing infrastructure and modern tooling to quickly validate ideas and ship improvements
Expand the team's ML capabilities – introduce new methodologies, share knowledge, and identify innovative opportunities beyond your initial scope
What Success Looks Like:
Short-term: Ship your first production model with measurable impact within 3 months.
Long-term: Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
Your Impact:
Elevate our technical bar with fresh ML perspectives. Shape our roadmap by identifying opportunities others miss. Your research skills keep us cutting-edge while your execution speed drives results.
What You'll Gain:
Work on real-time ML systems at scale with rich, diverse data
Autonomy to define problems and drive projects from idea to impct
Freedom to explore emerging techniques and expand your scope
Fast feedback loops through strong experimentation infrastructure
What you'll be doing:
Design and deploy ML systems that optimize user engagement and advertising performance – build models that operate at scale (millions of users) with real-time inference requirements
Own end-to-end ML and GenAI projects – from identifying business opportunities and defining problems, through research and prototyping, to production deployment and impact measurement
Explore and implement cutting-edge ML approaches – research novel architectures (transformers, neural recommender systems, transfer learning) and adapt them to solve practical business challenges
Drive rapid experimentation and iteration – leverage A/B testing infrastructure and modern tooling to quickly validate ideas and ship improvements
Expand the team's ML capabilities – introduce new methodologies, share knowledge, and identify innovative opportunities beyond your initial scope
Requirements:
Proven ability to deliver production ML models with measurable business impact – from problem definition through deployment and outcome tracking
Strong programming skills in Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost) with ability to write clean, efficient code for production systems
Self-directed research capability – demonstrated ability to independently explore unfamiliar ML domains, synthesize technical literature, and implement novel approaches
End-to-end ML development experience – data analysis, feature engineering, model selection, experimentation (A/B testing), and performance optimization
Structured problem-solving methodology – ability to decompose complex business problems, design solution approaches, and communicate technical findings to stakeholders
You might also have:
Positivity and enthusiasm
Proven ability to deliver production ML models with measurable business impact – from problem definition through deployment and outcome tracking
Strong programming skills in Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost) with ability to write clean, efficient code for production systems
Self-directed research capability – demonstrated ability to independently explore unfamiliar ML domains, synthesize technical literature, and implement novel approaches
End-to-end ML development experience – data analysis, feature engineering, model selection, experimentation (A/B testing), and performance optimization
Structured problem-solving methodology – ability to decompose complex business problems, design solution approaches, and communicate technical findings to stakeholders
You might also have:
Positivity and enthusiasm
This position is open to all candidates.
