Sr. Machine Learning Engineer, Ads Modeling

Unity Technologies

Mountain View (CA)

On-site

USD 160,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health insurance
Commute subsidy
Employee stock ownership
Generous vacation and personal days
Parental leave programs

Job summary

Unity Technologies' Unity Vector represents the next generation of our AI-powered advertising ecosystem. We are seeking a Senior Machine Learning Engineer to join the Vector Ads Modeling team to advance ads recommendation algorithms and deliver personalized ads experiences.

You will collaborate with engineering and product teams to productionalize research, leverage large-scale data and compute, and drive end-to-end impact across the ads funnel. Strong Python and PyTorch skills are required.

Qualifications

  • Expertise in state-of-the-art machine learning and deep learning models for user behavior problems.
  • Strong understanding of metric design and large-scale data analysis.
  • Proven ability to drive projects end-to-end and deliver measurable business results.

Responsibilities

  • Understand Unity ads business, products, advertisers goals, and data.
  • Drive foundational research for new models and paradigms.
  • Validate models with large-scale compute and rapid experimentation.
  • Collaborate with engineering and product teams to productionalize research.

Skills

Machine Learning
Python
PyTorch
Deep Learning
Distributed Computing

Job description

The Opportunity

Unity Vector represents the next generation of our AI-powered advertising ecosystem—a forward-looking evolution of our machine learning infrastructure and models.

We are seeking a Senior Machine Learning Engineer to join our Vector Ads Modeling team. In this role, you will work with a high-impact team to advance ads recommendation algorithms to deliver personalized ads experience.

What you’ll be doing
  • Understand Unity ads business, including product offering, advertisers goals, ads serving funnel, and rich real-time and dynamic user interaction data.
  • 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.
What we’re looking for
  • Expertise: 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.
  • Data & Analytics: Solid understanding of metric design, large‑scale data analysis, and distributed computing frameworks.
  • Strategic Impact: Proven ability to drive projects end‑to‑end, solving critical cross‑team problems and delivering measurable business results.

Salary Range: $160,000 to $250,000

Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well‑being and work‑life balance.

Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

  • Comprehensive health, life, and disability insurance
  • Commute subsidy
  • Employee stock ownership
  • Competitive retirement/pension plans
  • Generous vacation and personal days
  • Support for new parents through leave and family‑care programs
  • Office food snacks
  • Mental Health & Well‑being programs and support
  • Employee Resource Groups
  • Global Employee Assistance Program
  • Training and development programs
  • Volunteering and donation matching program

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

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