Senior/Staff Machine Learning Engineer

Summary

Join StackAdapt's Data Science team as a Senior or Staff Machine Learning Engineer and tackle complex problems for our digital advertising platform. You will design and implement real-time data pipelines, develop custom ML algorithms, and work on microservice architectures. This role requires experience in implementing machine learning algorithms, designing scalable distributed systems, and a strong understanding of algorithm and software design. StackAdapt offers a remote-first work environment and provides competitive benefits, including private medical insurance, a company pension scheme, work-from-home reimbursements, and support for personal development. We are looking for individuals who can work independently and collaboratively, thrive in a fast-paced environment, and enjoy contributing to a positive team culture. StackAdapt is an inclusive and diverse workplace committed to providing a supportive environment for all employees.

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