Senior Data Scientist

Unity Unity · Enterprise · Tel Aviv, Israel · Data & Analytics

Senior Data Scientist at Unity, focusing on building and deploying state-of-the-art ML systems to optimize user experiences for billions of users. The role involves tackling challenging problems with diverse datasets, exploring novel approaches, and deploying models at scale. Success is defined by shipping production models with measurable impact within 3 months and owning major ML initiatives end-to-end long-term. Requires strong Deep Learning expertise, proven ability to deliver production ML models, an AI-Native Builder Mentality, strong programming skills in Python and the Deep Learning stack, self-directed research capability, and a structured problem-solving methodology.

What you'd actually do

  1. 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.
  2. Ship your first production model with measurable impact within 3 months.
  3. Own major ML initiatives end-to-end and introduce new methodologies that expand the team's capabilities.
  4. 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.
  5. Work on real-time ML systems at scale with rich, diverse data

Skills

Required

  • Deep Learning Expertise
  • training many networks
  • working with SOTA pretrained models
  • production ML models
  • problem definition
  • A/B testing
  • deployment
  • outcome tracking
  • AI-Native Builder Mentality
  • modern GenAI stack
  • Python
  • PyTorch
  • scikit-learn
  • XGBoost
  • production systems
  • Self-directed research capability
  • independent ML domain exploration
  • synthesize technical literature
  • implement novel approaches
  • Structured problem-solving methodology
  • decompose complex business problems
  • design solution approaches
  • communicate technical findings

Nice to have

  • Positivity and enthusiasm

What the JD emphasized

  • deliver production ML models with measurable business impact
  • deep mastery of the modern GenAI stack
  • train many networks
  • comfortable working with SOTA pretrained models

Other signals

  • ship production models
  • optimize experiences for billions of users
  • real-time ML systems at scale
  • deep mastery of the modern GenAI stack