
51 - 200 employees
Founded 2014
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Button is a B2B SaaS platform that optimizes mobile commerce by routing users to the highest-converting destination using AI-driven smart routing and deep-linking. It helps retailers, publishers, advertisers and creators stack affiliate, retail media, and seller budgets on a single platform, drive in-app conversions, and provide privacy-safe, deterministic attribution and performance analytics. Button integrates with mobile measurement partners (MMPs) and offers plug-and-play solutions to increase revenue per tap, app engagement, and publisher monetization.
🕒 March 13
🗽 New York – Remote
💵 $153k - $198k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2014
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Button is a B2B SaaS platform that optimizes mobile commerce by routing users to the highest-converting destination using AI-driven smart routing and deep-linking. It helps retailers, publishers, advertisers and creators stack affiliate, retail media, and seller budgets on a single platform, drive in-app conversions, and provide privacy-safe, deterministic attribution and performance analytics. Button integrates with mobile measurement partners (MMPs) and offers plug-and-play solutions to increase revenue per tap, app engagement, and publisher monetization.
• Own the full ML lifecycle including feature pipelines, training workflows, model deployment, inference services, monitoring, and retraining • Design and build reliable data and feature pipelines • Build and optimize machine learning models including regression, classification, ranking, and recommender systems • Implement and manage batch scoring pipelines and online inference services • Partner with data scientists to operationalize models • Collaborate with software engineers for integration into production services • Establish observability for ML systems • Design systems for rapid experimentation and safe rollout of new models • Document architecture, establish best practices, and mentor teammates
• 5+ years of professional experience in machine learning engineering, software engineering, data engineering, or similar roles • Fluency with Python and SQL • Proven experience designing, building, and operating data pipelines at scale • Hands-on experience deploying and maintaining machine learning models in production environments • Experience working in cloud environments, especially AWS • Familiarity with orchestration and data modeling tools such as Airflow, dbt, or similar systems • Experience building ranking, recommendation, or decisioning systems is a plus.
• 401(k) plan with 3% annual contribution • Unlimited time off including birthdays • Mental Health Weeks for company-wide breaks • Employee assistance program • 100% premium coverage for health, vision, and dental insurance • 75% premium coverage for dependents • Complimentary One Medical memberships • Monthly stipend for mobile phone/internet • Annual lifestyle stipend • Access to WeWork memberships and coworking events
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