AdTechTalent
Data Science18 days agoRemote

StackAdapt

Senior/Staff Applied Machine Learning Scientist

machine learningdeep learningdata sciencealgorithmsscalabilitystatisticsoptimizationdata pipelinesproduction-grade modelsremote

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

3-5

Location

Canada; United States

Full job description

StackAdapt is hiring a Senior/Staff Applied Machine Learning Scientist to join their engineering team. The role involves leading the development and optimization of advanced machine learning algorithms to enhance advertising ROI, owning end-to-end production-grade ML model development, collaborating with engineers to deploy models, and driving prototyping and testing of algorithms using historical data. Candidates should have 3+ years of industry experience, a Masters or PhD in a relevant field, strong skills in statistics, optimization, machine learning, coding, data structures, and algorithms, and the ability to break down ambiguous tasks. The position is full-time and remote, open to candidates in the US or Canada. Benefits include competitive salary, retirement plans, paid time off, health and mental health benefits, work from home reimbursements, training, personal development support, parental leave, and a supportive culture.

What you'll do

  • Lead creation and optimization of advanced machine learning algorithms to improve advertising effectiveness and ROI
  • Own end-to-end development of production-grade ML models including writing efficient, scalable code
  • Collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems
  • Drive prototyping and rigorous testing of innovative algorithms and data pipelines using historical data
  • Lead iterative improvements based on data-driven insights

Requirements

  • 3+ years of industry experience
  • Masters degree or PhD in Computer Science, Statistics, Operations Research, or related field
  • Ability to break down ambiguously defined tasks into actionable steps
  • Comprehensive understanding of statistics, optimization, and machine learning
  • Proficient in coding, data structures, and algorithms
  • Enjoy working in a friendly, collaborative environment

Tech stack

machine learningdeep learningdata pipelinesscalable codealgorithmsstatisticsoptimizationdata structures

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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