[Remote] Staff Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. Prodege, LLC is a cutting-edge marketing and consumer insights platform seeking a Staff Machine Learning Engineer who will build production ML systems that directly impact revenue and customer experience. The role involves designing, deploying, and improving machine learning systems, partnering with various teams to solve complex technical problems.
Responsibilities
- Design, build, and operate production machine learning systems from development through deployment
- Production models supporting ranking, recommendations, personalization, rewards optimization, ROAS/LTV prediction, and offer optimization
- Feature engineering, model training pipelines, online inference, experimentation, monitoring, and continuous improvement
- Reliable production ML practices including testing, observability, retraining, and model health
- Technical leadership through code reviews, collaboration, and mentoring less experienced engineers
- Cross-functional partnerships with Product, Data Engineering, Analytics, and Business stakeholders to solve high-impact problems
- Develop scalable ML solutions across ranking, recommendation, personalization, rewards optimization, ROAS/LTV prediction, and experimentation
- Improve feature engineering, model performance, inference latency, and operational reliability
- Design and analyze offline evaluations and A/B experiments to validate business impact
- Partner with Data Engineering to build reliable data pipelines and feature sets for ML
- Contribute to MLOps practices including deployment, monitoring, retraining, and model lifecycle management
- Review code, mentor teammates, and help raise engineering quality across the ML organization
- Leverage AI-assisted development to accelerate research, prototyping, debugging, documentation, and experimentation
Skills
- 6+ years of experience in Machine Learning Engineering, Software Engineering, MLOps, or related technical fields
- 3+ years building, deploying, and operating production machine learning systems
- Strong experience building production recommendation, ranking, personalization, optimization, or prediction systems
- Experience working in AdTech, MarTech, Growth, Consumer Products, Marketplace platforms, or adjacent domains
- Strong understanding of: Feature engineering, Offline and online inference, Experimentation and A/B testing, Model serving, Monitoring and retraining, MLOps best practices
- Experience partnering closely with Product, Engineering, and Data teams to deliver measurable business outcomes
- Strong software engineering fundamentals with excellent coding skills
- Comfort operating in ambiguous environments while independently driving technical solutions
- Demonstrated ability to mentor engineers and influence technical decisions across teams
- Experience with ROAS optimization, bidding systems, rewards platforms, or monetization models
- Experience with streaming or near-real-time ML systems
- Experience with recommendation engines or personalization at scale
- Experience using feature stores or shared ML infrastructure
- Experience with causal inference, uplift modeling, or counterfactual reasoning
- Master's degree or PhD in Machine Learning, AI, Computer Science, or a quantitative discipline
- Experience using AI-assisted development tools in software engineering workflows
Benefits
- Comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance.
- Employees receive flexible PTO
- Paid sick leave prorated based on hire date.
- US Employees have eight paid holidays throughout the calendar year.
Company Overview
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