Software Engineer, Machine Learning

Job not on LinkedIn

🔥 8 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.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.

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MNTN

WebsiteLinkedInAll Job Openings

201 - 500 employees

📣 Marketing

🤝 B2B

🛍️ eCommerce

Marketing • B2B • eCommerce

MNTN is a software company that specializes in advertising solutions for brands, enabling them to achieve measurable results through television advertising. Their flagship product, MNTN Performance TV, is the first ever Connected TV advertising platform designed specifically for direct-response marketing. This innovation allows advertisers to link their performance metrics directly to TV campaigns, enhancing their ability to drive conversions, revenue, and site visits.

📋 Description

• Design and build a robust marketing platform that reaches the right audience, anywhere and anytime • Build high-volume services that remain reliable at scale • Develop big data solutions using open-source frameworks • Design, train, evaluate, and improve models for deliverability, forecasting, and optimization • Refine thresholds, calibration, and guardrails to reduce false positives and decision noise • Build offline and online evaluation workflows tied to measurable business outcomes • Partner with Product, Project Leads, and platform-focused Machine Learning and Data Engineers to improve service reliability, latency, observability, and data freshness • Share ownership of production systems, ship model improvements safely, and participate in the on-call rotation • Operationalize data scientist prototypes into robust, scalable production systems • Lead deployment, monitoring, and maintenance of machine learning solutions powering campaign optimizations at scale

🎯 Requirements

• 5+ years building ML models deployed and operated in production • Extreme proficiency in technical communication to nontechnical stakeholders • Excellent applied ML fundamentals, including classification, regression, forecasting, and rigorous evaluation • Strong understanding of optimization in a business context • Strong Python and SQL skills with production engineering discipline, including testing, maintainability, and performance • Experience balancing model quality, system constraints, and speed-to-production • Strong experience with ownership and cross-functional collaboration • 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 large-scale data processing and ML systems such as Kedro, AutoGluon, PyTorch, Polars, BigQuery/GCP, Airflow/SQLMesh, and Databricks ecosystems • Reinforcement Learning experience such as Q-Learning or Multi-Armed Bandits is a plus

🏖️ Benefits

• People-first company culture • Named one of Ad Age’s Best Places To Work in 2026 • Remote work arrangement