Senior/Staff Machine Learning Engineer

closed
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StackAdapt

πŸ“Remote - United States

Summary

Join StackAdapt's data science team as a Senior or Staff Machine Learning Engineer and contribute to building and optimizing 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 expertise in algorithm design, scalable distributed systems, and machine learning. StackAdapt offers a remote-first work environment, competitive compensation and benefits, and opportunities for professional development. We are looking for candidates with a strong background in computer science and a passion for solving complex problems. The company fosters a collaborative and supportive culture.

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 + equity
  • RRSP 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