Job Url: https://www.remoterocketship.com/company/unity/jobs/machine-learning-engineer-united-states-remote

Job Description: 
Unity
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Unity is a leading platform providing tools and services for creators to build games, apps, and immersive experiences. With high-quality graphics, multi-platform support, and AI enhancements, Unity empowers developers in video gaming and other industries like manufacturing. 

Unity offers services such as Unity Engine, Unity Cloud, and Unity Grow, which include real-time 3D creation, user acquisition, and game monetization. The company also provides extensive resources, community support, and professional training for creators at all levels. 

Through its success plans and developer resources, Unity aids in solving complex problems and bringing ideas to life for gaming and enterprise professionals. 


5001 - 10000 employees


Founded 2005

🎮 Gaming

📚 Education

Machine Learning Engineer
2 days ago

🇺🇸 United States – Remote

💵 $107.6k - $145.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

Airflow

Kafka

Python

PyTorch

Spark

Tensorflow

Unity

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📋 Description
• Design, build, and deploy machine learning models for ad ranking, targeting, bidding, and attribution.
• Develop solutions for both batch and real-time systems to positively influence important metrics like click-through rate, return on investment, revenue, and user engagement.
• Collaborate with multi-functional teams including product managers, applied scientists, and backend engineers.
• Translate cutting-edge research into production-ready solutions using scalable infrastructure and implementing best practices.
• Analyze model performance, conduct A/B testing, and refine approaches based on the results.

🎯 Requirements
• Background in machine learning, optimization, statistics, or reinforcement learning.
• Proficiency in Python or similar programming languages, and familiarity with ML frameworks like TensorFlow, PyTorch, or JAX.
• Solid software engineering skills and experience in production-grade systems.
• Strong analytical abilities with experience in experimentation and making data-driven decisions.
• Effective written/verbal communication to engage technical and non-technical audiences.
• Experience in advertising systems, recommendation engines, or large-scale prediction systems.
• Familiarity with ad auctions, user modeling, causal inference, or performance optimization strategies.
• Experience with large-scale data processing tools such as Spark, Kafka, or Airflow.

🏖️ Benefits
• Relocation support is not available for this position.