Senior/Staff Data Engineer

Summary

Join StackAdapt's Data Science team as a Senior or Staff Data Engineer and contribute to building and optimizing our digital advertising platform. You will design and implement real-time data pipelines, improve big data ML pipeline architecture, and work with microservice architectures handling thousands of ML models concurrently. This role requires deep understanding of algorithms, software design, and experience with scalable distributed systems and machine learning algorithms. StackAdapt offers a remote-first work environment, competitive salary, comprehensive benefits, and opportunities for professional development. We are looking for individuals who can work independently and collaboratively, thrive in a fast-paced environment, and enjoy tackling complex problems. StackAdapt is a diverse and inclusive company committed to creating a supportive and welcoming workplace.

Requirements

• Have the 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
• Have 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

Responsibilities

• 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

Benefits

• Competitive salary
• Private Medical Insurance cover
• Auto-enrolment into the company pension scheme
• Work from home reimbursements
• Coverage and support of personal development initiatives (conferences, courses, etc)
• An awesome parental leave policy
• A friendly, welcoming, and supportive culture
• Our social and team events (virtually!)
• Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year