- Pengalaman
- Setiap
- Gaji
- —
- Lowongan
- 1
- Diposting
- 15 jam yang lalu
- Mode kerja
- Bekerja dari rumah
- Pendidikan
- Computer Science degree with high GPA
- Melanjutkan
- Wajib mendaftar
Deskripsi pekerjaan
About StackAdapt
StackAdapt is a leading technology firm that enables marketers to precisely reach, engage, and convert audiences through its AI-driven marketing platform. Capable of executing 465 billion automated optimizations per second, the platform integrates brand and performance marketing efforts to generate measurable impact across the customer journey. Forward-thinking marketers rely on StackAdapt to coordinate influential campaigns spanning programmatic advertising and various marketing channels.
Role Overview
We are seeking a Machine Learning Engineer to join our Data Science team. This team addresses complex challenges within StackAdapt's digital advertising system. The role involves collaborating closely with Data Scientists, fellow Machine Learning Engineers, the Engineering teams, and the CTO/Co-Founder to develop data pipelines and ad optimization models. Handling databases that process millions of requests per second, the position offers extensive data and problem-solving opportunities. StackAdapt operates as a remote-first organization, with team members distributed globally, welcoming applicants from Canada and the United States.
Key Responsibilities
- Architect modular, scalable real-time data pipelines capable of processing massive datasets.
- Develop and implement customized machine learning algorithms optimized for low-latency environments.
- Work within microservice-based architectures to support concurrent training, inference, and monitoring of thousands of ML models.
Required Qualifications and Skills
- Ability to deconstruct ambiguous tasks into clear, actionable projects.
- In-depth knowledge of algorithms, software design, concurrency, and data structures.
- Experience applying probabilistic or machine learning algorithms in practical scenarios.
- Interest and expertise in the design of scalable distributed systems.
- Strong academic record with a high GPA from a respected Computer Science program.
- A collaborative spirit suited for a friendly and team-oriented working environment.
Employee Benefits and Perks
- Competitive salary package.
- Global retirement and pension savings plans including 401K.
- Generous paid time off policies, including birthday leave.
- Comprehensive access to mental health programs.
- Health insurance coverage starting from the first day of employment.
- Reimbursements for home office setup.
- Optional global memberships to WeWork for flexible workspace options, including hubs in London and Toronto.
- Robust onboarding and training programs.
- Support for personal development initiatives such as conferences, courses, and books.
- Access to StackAdapt's programmatic courses and certification programs to foster ongoing learning.
- Inclusive parental leave policies.
- A welcoming, supportive, and friendly company culture.
- Regular social and team events.
Additional Information
Benefits and perks might vary depending on the employee’s country and the nature of their employment. In regions where StackAdapt does not maintain a legal entity, employment and benefits abide by local laws and partner policies.
StackAdapt embraces diversity and inclusivity, welcoming individuals regardless of background, identity, or ability. The company encourages applicants to share any accommodations needed during the hiring process.
StackAdapt utilizes AI tools to streamline the initial resume screening and candidate suitability assessment but maintains human decision-making for final hiring and interviews.
About StackAdapt Recognition
The company is acclaimed for its inclusive workplace, excellent campaign performance, outstanding customer support, and innovation. Recent awards include G2's Top Software for 2026, recognition as Best Workplaces™ for Young Talent and in Canada by Great Place to Work®, and the #1 DSP on G2 with leadership in numerous categories including Cross-Channel Advertising.