πGermany
Senior/Staff Machine Learning Engineer
closed
StackAdapt
πRemote - 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
Similar Remote Jobs
πUnited Kingdom
πCanada, United States
π°$190k-$240k
πWorldwide
π°$167k-$269k
πUnited States