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Mid LevelFull-timePythonRustC++RailsMachine LearningCI/CDAIAPIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join the AI Engineering team at Inflection AI. This role focuses on designing and scaling systems that bring AI models from research into reliable, production-grade deployments.
Key Responsibilities
- →Design and implement scalable, low-latency model-serving infrastructure for large language models and multimodal systems.
- →Build and maintain robust APIs and services to support real-time conversational workloads.
- →Optimize inference systems for throughput, latency, cost-efficiency, and reliability.
- →Architect and improve end-to-end ML pipelines spanning training, evaluation, deployment, monitoring, and rollback.
- →Develop model lifecycle management systems with strong observability and performance tracking.
- →Collaborate with ML researchers to productionize new model architectures and capabilities.
- →Define data requirements and feedback loops to enable continuous model improvement.
- →Lead architectural decisions that balance performance, scalability, safety, and maintainability.
Requirements
- ✓1-4 years of experience in machine learning engineering, backend systems, or distributed infrastructure.
- ✓Proven experience deploying and operating ML models in production environments.
- ✓Strong programming skills in Python and/or C++.
- ✓Experience with large-scale model serving (LLMs, transformers, or similar architectures).
- ✓Deep understanding of distributed systems, API design, and cloud infrastructure.
- ✓Experience with MLOps tools and workflows (CI/CD, model monitoring, experiment tracking).
Benefits
- ★Diverse medical, dental and vision options
- ★401k matching program
- ★Unlimited paid time off
- ★Parental leave and flexibility
- ★Support of country-specific visa needs
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