remote
Senior/Staff Machine Learning Engineer
Senior/Staff Machine Learning Engineer
StackAdapt is seeking Senior and Staff Machine Learning Engineers to join their Data Science team. In this role, you will design and implement scalable real-time data pipelines, develop custom ML algorithms, and work on microservice architectures for ad optimization models within a high-throughput environment.
About the role
About the Role
StackAdapt is looking to add Senior and Staff Machine Learning Engineers to their Data Science team. This team focuses on solving complex problems for StackAdapt's digital advertising platform. You will collaborate directly with Data Scientists, Machine Learning engineers, Engineering teams, and the CTO/Co-Founder on building pipelines and ad optimization models. The role involves working with databases that process millions of requests per second, offering abundant data and challenges.
What you'll be doing:
- Design modular and scalable real-time data pipelines to handle huge datasets
- Suggest, implement, and coordinate architectural improvements for big data ML pipelines
- Understand and implement custom ML algorithms in a low latency environment
- Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
What you'll bring to the table:
- Ability to take an ambiguously defined task and break it down into actionable steps
- Ability to follow through complex projects to completion, both by independent implementation and by coordinating others
- Deep understanding of algorithm and software design, concurrency, and data structures
- Experience in implementing probabilistic or machine learning algorithms
- Experience in designing scalable distributed systems
- A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech company
- Enjoy working in a friendly, collaborative environment with others
StackAdapter's Enjoy:
- 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 for those who want a change from their home office and hubs in London and Toronto
- Robust training and onboarding program
- Coverage and support of personal development initiatives (conferences, courses, books etc)
- Access to StackAdapt programmatic courses and certifications to support continuous learning
- An awesome parental leave program
- A friendly, welcoming, and supportive culture
- Our social and team events!