United States Remote (Global)

MNTN is hiring a Senior Machine Learning Engineer

Responsibilities

  • Design and build a robust marketing platform that reaches the right audience, anywhere, anytime
  • Build high volume services that are reliable at scale
  • Develop big data solutions using open source frameworks
  • Collaborate with and explain complex technical issues to Product and Project Leads
  • Joint production ownership with shared on-call participation
  • Focus on: improving service reliability, latency, and observability
  • Focus on: improving model quality (including false positives, thresholds, calibration)
  • Focus on: speeding up model testing loops
  • Focus on: releasing model and service changes faster, with confidence
  • Focus on: improving data/pipeline freshness and delivery velocity
  • Design, train, evaluate, and improve models for deliverability, forecasting, and optimization.
  • Improve thresholding, calibration, and guardrail logic to reduce false positives and decision noise.
  • Build robust offline/online evaluation workflows tied to business outcomes.
  • Work directly in production codepaths to ship model improvements safely.
  • Partner closely with platform-leaning MLEs on reliability, rollout safety, and observability.
  • Share on-call responsibility for production ML services.

Requirements

  • 5+ years building ML models that were deployed and operated in production.
  • Strong applied ML fundamentals (classification/regression/forecasting + evaluation rigor).
  • Strong Python and SQL with production engineering discipline (testing, maintainability, performance).
  • Experience balancing model quality, system constraints, and speed-to-production.
  • Strong experience with ownership and cross-functional collaboration.

Nice to Have

  • Experience in ad tech, growth analytics, personalization, or performance marketing
  • Proficiency working with real-time or near-real-time data pipelines
  • Experience with experimentation frameworks and production model monitoring.
  • Experience with Kedro, AutoGluon, PyTorch, Polars, BigQuery/GCP, and Airflow/SQLMesh ecosystems.

Benefits

  • Flexible vacation policy
  • Annual vacation allowance for travel related expenses
  • Three-day weekend every month of the year
  • Competitive compensation
  • 100% healthcare coverage
  • 401k plan
  • Flexible Spending Account (FSA) for dependent, medical, and dental care
  • Access to coaching, therapy, and professional development

Work Arrangement

Remote (Worldwide)

Required Skills
Pytorch
About company
MNTN
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. The company brings unrivaled performance and simplicity to Connected TV advertising with self-serve technology that makes running TV ads as easy as search and social.
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Job Details
Department Engineering
Category data
Posted 4 months ago