MNTN is looking for a Senior Machine Learning Engineer to operationalize machine learning models, turning prototypes into robust, scalable systems. You will lead the deployment and maintenance of ML solutions that power campaign optimizations at scale.
What You'll Do
- Design and build a robust marketing platform to reach the right audience
- 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
- Improve service reliability, latency, and observability
- Improve model quality (including false positives, thresholds, calibration)
- Speed up model testing loops
- Release model and service changes faster, with confidence
- Improve 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
What We're Looking For
- 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
Technical Stack
- Python, SQL
- Kedro, AutoGluon, PyTorch, Polars
- BigQuery/GCP, Airflow/SQLMesh
Team & Environment
You will join the Performance ML team.
Benefits & Compensation
- Competitive compensation
- 100% healthcare coverage
- 401k plan
- Flexible Spending Account (FSA) for dependent, medical, and dental care
- Access to coaching, therapy, and professional development
- Flexible vacation policy
- Annual vacation allowance for travel related expenses
- Three-day weekend every month of the year
Work Mode
This is a 100% remote position open to candidates within the United States.
MNTN is an equal opportunity employer.
