Senior/Staff Machine Learning Engineer

Summary

Join StackAdapt's Data Science team as a Senior or Staff Machine Learning Engineer! Work on a remote-first team solving complex problems for StackAdapt's digital advertising platform. You will design and implement real-time data pipelines, develop custom ML algorithms, and contribute to microservice architectures. The ideal candidate possesses strong algorithm and software design skills, experience with scalable distributed systems, and a background in implementing machine learning algorithms. StackAdapt offers competitive compensation, benefits including private medical insurance and a company pension scheme, and opportunities for professional development. The company fosters a collaborative and supportive work environment with remote work flexibility.

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