AdTechTalent
Data Science18 days agoRemote

StackAdapt

Machine Learning Engineer

machine learningdata pipelinesmicroservicesdistributed systemsreal-timealgorithm designprobabilistic algorithmsdata scienceremote

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Mid-level

Years experience

0-2

Location

Canada, United States (remote)

Full job description

StackAdapt is hiring a Machine Learning Engineer for their Data Science team. The role involves designing scalable real-time data pipelines, implementing custom ML algorithms in low latency environments, and working on microservice architectures managing thousands of ML models concurrently. Candidates should have strong skills in algorithm and software design, concurrency, data structures, and experience with probabilistic or machine learning algorithms. A high GPA from a reputable Computer Science program is preferred. The position is full-time, remote-first, open to candidates in Canada and the US, and offers competitive salary and comprehensive benefits.

What you'll do

  • Design modular and scalable real-time data pipelines to handle huge datasets
  • 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

  • Ability to break down ambiguously defined tasks into actionable steps
  • Deep understanding of algorithm and software design, concurrency, and data structures
  • Experience implementing probabilistic or machine learning algorithms
  • Interest in designing scalable distributed systems
  • High GPA from a well-respected Computer Science program
  • Enjoy working in a friendly, collaborative environment

Tech stack

machine learningprobabilistic algorithmsmicroservicesreal-time data pipelinesdistributed systems

Benefits

Highly competitive salaryRetirement/401K/Pension Savings globallyCompetitive paid time off including birthdays offComprehensive mental health care programHealth benefits from day oneWork from home reimbursementsOptional global WeWork membership (London and Toronto hubs)Robust training and onboarding programSupport for personal development initiatives (conferences, courses, books)Access to StackAdapt programmatic courses and certificationsParental leave programFriendly, welcoming, and supportive cultureSocial and team events

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