
Senior/Staff Machine Learning Engineer
StackAdaptPosted 4/10/2025

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 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, private medical insurance, and flexible remote work options. The company values diversity and inclusion, and provides support for personal development initiatives and parental leave policies. If you're passionate about AI and want to make a dent in the universe, apply now!
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
- Private Medical Insurance cover
- Auto-enrolment into the company pension scheme
- Work from home reimbursements
- Coverage and support of personal development initiatives (conferences, courses, etc)
- An awesome parental leave policy
- A friendly, welcoming, and supportive culture
- Our social and team events (virtually!)
- Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year