Senior Applied Machine Learning Engineer - Applied Machine Learning Team
Remote in United StatesFull-TimeSenior
Salary164,300 - 258,100 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years of software engineering experience, including at least 2 years in production ML systems
- Required Skills
- DockerPythonSQLKafkaKubernetesPyTorchSparkTensorflowCI/CDDebuggingA/B testingscikit-learnMLOps
Requirements
- 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
Responsibilities
- 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
View Full Description & ApplyYou'll be redirected to the employer's site
