Remote Senior Applied Machine Learning Engineer - Applied Machine Learning Team

Accountabilities

In this role, you will take ownership of bringing machine learning models into scalable, production-ready systems while ensuring long-term performance and reliability:

• Transform research and prototype models into efficient, maintainable production-grade systems

• Design and implement MLOps pipelines including CI/CD for ML, automated retraining, and model versioning

• Optimize models for real-time inference, ensuring speed, scalability, and system efficiency

• Build and maintain monitoring systems to detect data drift, model degradation, and latency issues

• Collaborate on the development of automated valuation models and recommendation systems

• Continuously improve ML models powering customer-facing features at scale

• Serve as a technical bridge between data science, engineering, and product stakeholders

• Develop data products and tools that drive key business metrics and revenue impact

Requirements

The ideal candidate brings strong software engineering experience combined with hands-on expertise in deploying and scaling machine learning systems in production environments:

• 5+ years of software engineering experience, including at least 2 years in production ML systems

• Strong proficiency in Python and ability to build production-quality, modular codebases

• Deep understanding of the ML lifecycle, including training, inference, feature stores, and model versioning

• Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn for tuning and optimization

• Hands-on experience with Docker and Kubernetes for deploying and scaling containerized services

• Strong knowledge of MLOps practices, including CI/CD, monitoring, logging, and alerting systems

• Experience with model monitoring, A/B testing, and performance tracking in production

• Proficiency in SQL and familiarity with distributed data tools such as Spark or Kafka

• Strong debugging skills and ability to ensure reliability in high-scale systems

• Excellent collaboration and communication skills for cross-functional technical alignment

Benefits

• Competitive compensation package ($164,300 – $258,100 base salary range)

• Eligibility for annual bonus, incentives, and performance-based rewards

• Comprehensive healthcare coverage including medical, dental, and vision

• 401(k) retirement plan with employer participation

• Paid time off and flexible leave policies

• Family-focused benefits supporting well-being and work-life balance

• Remote-friendly work structure with optional hybrid presence in Seattle

• Access to engineering-scale ML infrastructure and high-impact data systems

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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