Senior/Staff Machine Learning Engineer

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We're looking to add Senior and Staff Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.

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

Requirements

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

Benefits

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; Robust training and onboarding program; Coverage and support of personal development initiatives; Access to StackAdapt programmatic courses and certifications; Awesome parental leave program; Friendly, welcoming, and supportive culture; Social and team events