Senior Machine Learning Engineer

Remote•Remote

Full-timeRemoteremotejobsorg

Data Scienceremotejobs.org

About this role

We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X - programmatic advertising platform. You will take end-to-end responsibility for high-impact ML initiatives (e.g., pricing optimization, bid prediction, performance forecasting, delivery optimization) and translate complex business problems into robust, production-grade machine learning systems. This is a senior individual contributor role with leadership potential. You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity to grow into a team lead role as we expand our data science capabilities. Requirements:

5+ years of experience in machine learning / applied ML roles with production ownership
Proven track record of deploying and maintaining ML systems in real-world environments
Strong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow)
Solid knowledge of statistics, experimentation design, and model evaluation
Experience working with large-scale datasets and performance-critical systems
Understanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines)
Strong problem ownership mindset - ability to independently structure ambiguous challenges
Ability to translate business trade-offs into modeling decisions
Experience in AdTech, marketplaces, or auction-based systems is a plus
Experience working in high-scale, real-time systems is a plus Responsibilities:
Take ownership of machine learning problems from concept to production
Design, build, and deploy predictive models (e.g. pricing, bidding, optimization, forecasting)
Develop scalable feature engineering and data pipelines for large-scale datasets
Define experimentation frameworks (A/B testing, offline validation, model comparison)
Ensure production-grade MLOps: monitoring, retraining, drift detection, reliability
Collaborate closely with DevOps, Product, Engineering teams to align ML with business impact
Quantify model impact on revenue, margin, and performance KPIs

Posting details

Remote

Yes

Employment type

Full-time

Workplace type

Remote

Source

remotejobsorg

First seen

9/3/2026, 8:10:29 AM

Last seen

9/3/2026, 8:10:29 AM