Machine Learning Engineer

🕒 July 20

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $140k - $192.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 44%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

StackAdapt

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

📣 Marketing

☁️ SaaS

📱 Media

💰 $235M Private Equity Round - StackAdapt on 2025-02

Marketing • SaaS • Media

StackAdapt is an AI-powered programmatic marketing platform and demand-side platform (DSP) that helps advertisers, agencies, and brands plan, execute, and optimize multi-channel digital advertising campaigns. The platform uses machine learning and first‑party data to provide advanced audience targeting, contextual and location-based targeting, creative optimization, and real-time campaign analytics across channels like connected TV, display, native, video, audio, in-game, digital out-of-home, and email. StackAdapt offers enterprise-grade solutions, client services, an API, and tools for creatives and reporting to support full-funnel advertising at scale.

📋 Description

• Design modular and scalable real-time data pipelines to handle huge datasets • Understand and implement custom ML algorithms in a low-latency environment • Work on microservice architectures running training, inference, and monitoring on thousands of ML models concurrently • Collaborate directly with Applied Machine Learning Scientists, Machine Learning Engineers, Engineering teams, and the CTO/Co-Founder • Build pipelines and ad optimization models for StackAdapt's digital advertising platform

🎯 Requirements

• Ability to take an ambiguously defined task and break it down into actionable steps • Deep understanding of algorithms 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 • Collaborative working style

🏖️ Benefits

• Retirement/ 401K/ Pension Savings globally • Competitive Paid time off packages including birthday's off! • Access to a comprehensive mental health care program • 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 and hubs in London and Toronto • Robust training and onboarding program • Coverage and support of personal development initiatives (conferences, courses, books etc) • Access to StackAdapt programmatic courses and certifications to support continuous learning • An awesome parental leave program • A friendly, welcoming, and supportive culture • Our social and team events! • Additional compensation may include annual bonuses, commissions, and equity awards • Comprehensive benefits package

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume