Senior/Staff Machine Learning Engineer

Self-serve advertising platform specializing in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads.
$150,000 - $250,000
Machine Learning
Staff Software Engineer
Remote
101 - 500 Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior/Staff Machine Learning Engineer

StackAdapt is an innovative self-serve advertising platform that's revolutionizing multi-channel digital advertising. As a Senior/Staff Machine Learning Engineer, you'll join their data science team working on complex problems for their digital advertising platform that processes millions of requests per second. You'll collaborate directly with Data Scientists, ML engineers, and the CTO/Co-Founder on building pipelines and ad optimization models. The company offers a remote-first environment with comprehensive benefits including equity, health coverage, and professional development opportunities. They're recognized for their diverse and supportive workplace, winning multiple awards including Ad Age Best Places to Work 2024 and being named among the Best Workplaces for Women. The role combines technical expertise in ML with scalable system design, offering a chance to work on cutting-edge advertising technology while being part of a collaborative, inclusive team.

Last updated 2 months ago

Responsibilities For Senior/Staff Machine Learning Engineer

  • 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 For Senior/Staff Machine Learning Engineer

Python
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Ability to follow through complex projects to completion
  • 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
  • Enjoy working in a friendly, collaborative environment with others

Benefits For Senior/Staff Machine Learning Engineer

Equity
Medical Insurance
Dental Insurance
Mental Health Assistance
Parental Leave
Education Budget
  • 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
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives
  • Access to StackAdapt programmatic courses and certifications
  • Mentorship opportunities with industry leaders
  • Parental leave policy
  • Social and team events

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