The OpportunityUnity 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 Staff Machine Learning Engineer to join our Vector Ads Modeling team. In this role, you will work with a high-performing high-impact team to advance ads recommendation algorithms to deliver personalized ads experience.
What you'll be doing- 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.
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.
Additional informationGross Annual Salary:
Zone A: $218,400 - $283,900 USD
Zone B: $194,100 - $252,300 USD
Zone C: $172,200 - $223,900 USD
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.
BenefitsAt Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: 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 and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
