Senior/Staff Applied Machine Learning Scientist
StackAdapt5 months ago
London, United KingdomSenior / Staff+
Responsibilities
- Lead the creation and optimization of advanced machine learning algorithms.
- Own the end-to-end development of production-grade ML models.
- Collaborate with Data Engineers to deploy and integrate algorithms into live systems.
- Drive the prototyping and rigorous testing of innovative algorithms and data pipelines.
Requirements
- 3+ years of industry experience.
- Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field.
- Ability to break down ambiguously defined tasks into actionable steps.
- Comprehensive understanding of statistics, optimization, and machine learning.
- Proficient in coding, data structures, and algorithms.
- Enjoy working in a friendly, collaborative environment.
Benefits
- Highly competitive salary.
- Retirement/401K/Pension Savings globally.
- Competitive Paid time off packages including birthdays off.
- Access to a comprehensive mental health care program.
- Health benefits from day one of employment.
- Work from home reimbursements.
- Optional global WeWork membership.
- Robust training and onboarding program.
- Coverage and support of personal development initiatives.
- Access to StackAdapt programmatic courses and certifications.
- An awesome parental leave program.
- A friendly, welcoming, and supportive culture.
- Social and team events.
Categories
Data Science
About StackAdapt
StackAdapt builds a programmatic demand-side platform that lets brands and agencies plan, buy, and optimize digital ads across native, display, video, connected TV, and audio. Its AI-driven platform supports cross-channel targeting, measurement, and attribution, sold as SaaS/media through managed and self-serve campaigns. Founded in 2014 and headquartered in Toronto, the company is privately held and serves customers across North America, EMEA, APAC, and LATAM.