Unity

Est. expiry Nov 2

Last seen Oct 12

Posted Sep 28 · 14 days ago

Open 14 days. This role usually stays open about 24 days

Staff Machine Learning Engineer

Machine Learning Engineer
Mountain View, United States
OnsiteFull-time, Senior
€12,576 - €20,733
At a glance

Senior ML Engineer for Unity Ads modeling in Mountain View with salary $172k–$284k.

Original job description

The Staff Machine Learning Engineer will join Unity Vector's Ads Modeling team to advance ads recommendation algorithms and deliver personalized ads experiences. Responsibilities include identifying modeling opportunities, designing roadmaps, driving foundational research for new models and paradigms, leveraging large-scale data and compute to validate models rapidly, and collaborating with engineering and product teams to productionalize research. Requirements include hands-on experience with state-of-the-art ML and deep learning models, particularly in user behavior modeling, proficiency in Python and PyTorch, and strong data analytics skills. The role offers a competitive base salary with potential equity and incentive plans; benefits vary by country. The posted salary range is 172,200 - 283,900 USD annually.

The text above is the employer's original job description, extracted as written. Other details on this page, like salary, responsibilities, and requirements, are interpreted from that text by our system, not values the employer explicitly confirmed, so treat them as our best interpretation rather than verified facts.

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Skills & Technologies
PythonPyTorchDeep Learning
How this salary compares
€12,576 - €20,733
Benchmarked against senior roles

Too few postings state a salary to show this.

Monthly salary comparison for Machine Learning Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
senior roles€5,500 per month€6,075 per month€7,800 per month
This offer€14,350 per month€19,004 per month€23,658 per month
Responsibilities
  • Identity opportunities and design modeling roadmap that addresses customer needs.
  • Drive foundational research for new models and paradigms.
  • Leverage rich user data and large-scale compute to validate models rapidly.
  • Collaborate closely with engineering and product teams to productionalize research.
Requirements
  • Hands-on experience applying state-of-the-art machine learning and deep learning models to complex real-world problems, specifically in the domains of user behavior modeling.
  • Proficiency in Python, PyTorch and deep learning frameworks.
  • Solid understanding of metric design, large-scale data analysis, and distributed computing frameworks.
  • Proven ability to drive projects end-to-end, solving cross-team problems and delivering measurable business results.
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Unity · 1 open roles
Top locations (all time): Brighton, United Kingdom · 1 · Remote - United Kingdom · 1 · Helsinki, Finland · 1 · +2 other locations
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