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Senior/Staff Machine Learning Engineer
StackAdaptPosted 2/26/2025
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Senior/Staff Machine Learning Engineer
StackAdapt
Job Location
Job Summary
StackAdapt is seeking Senior/Staff Machine Learning Engineers to join their data science team. The role involves designing modular and scalable real-time data pipelines, implementing custom ML algorithms, and working on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently. The ideal candidate has a deep understanding of algorithm and software design, concurrency, and data structures, as well as experience in implementing probabilistic or machine learning algorithms. StackAdapt offers a competitive salary, equity, RRSP matching, and comprehensive benefits package. The company is a Remote First organization with flexible work options.
Job Description
What you'll be doing:
- 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
What you'll bring to the table:
- 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
StackAdapters enjoy:
- 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!