Machine Learning Engineer

closed
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StackAdapt

πŸ“Remote - United States

Summary

Join StackAdapt's Data Science team as a Machine Learning Engineer and contribute to building and optimizing our digital advertising platform. You will design scalable real-time data pipelines, implement custom ML algorithms, and work on microservice architectures handling thousands of ML models concurrently. This role requires a deep understanding of algorithms, software design, concurrency, and data structures, along with experience in implementing machine learning algorithms. StackAdapt offers a remote-first work environment and a comprehensive benefits package, including competitive salary, equity, 401k matching, generous paid time off, health benefits, work-from-home reimbursements, and robust professional development opportunities. We are looking for individuals who enjoy working collaboratively and tackling complex problems in a fast-paced environment. StackAdapt is a diverse and inclusive company committed to supporting its employees.

Requirements

  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have deep understanding of algorithm and software design, concurrency, and data structures
  • Experience in implementing probabilistic or machine learning algorithms
  • Interest in designing scalable distributed systems
  • A high GPA from a well-respected Computer Science program
  • Enjoy working in a friendly, collaborative environment with others

Responsibilities

  • Design modular and scalable real time data pipelines to handle huge datasets
  • 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 + equity
  • 401K matching
  • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
  • Access to a comprehensive mental health care platform
  • 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
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • Mentorship opportunities with industry leaders
  • An awesome parental leave policy
  • A friendly, welcoming, and supportive culture
  • Our social and team events!
This job is filled or no longer available