Senior ML Systems Engineer - Self-Adaptive Production ML

Regenerativeaitool

Boston (MA)

Hybrid

USD 120,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Comprehensive health, dental, and vision insurance
Flexible PTO and remote-friendly work arrangements
Annual learning and development budget ($5,000)
Home office setup allowance
401(k) with company match

Job summary

Regenerative AI in Boston is seeking a Senior Machine Learning Engineer to design and operate production ML systems with feedback loops. You will work on building and maintaining self-adaptive ML systems with monitoring and recalibration features.

Ideal candidates will have over 5 years of experience in ML systems and expertise in Python and modern frameworks. The position offers competitive salary, health benefits, and a flexible work environment.

Qualifications

  • 5+ years of experience building and deploying ML systems in production environments.
  • Strong proficiency in Python and modern ML frameworks.
  • Hands-on experience with distributed training and GPU infrastructure.

Responsibilities

  • Design and implement end-to-end ML pipelines: data ingestion, training, evaluation, and serving.
  • Build and maintain self-adaptive ML systems with runtime monitoring and drift detection.
  • Develop automated recalibration workflows that respond to performance degradation.

Skills

Python proficiency
ML frameworks (PyTorch, TensorFlow, or JAX)
Distributed training
MLOps practices
Monitoring tools (Prometheus, Grafana, Datadog)
Data pipelines (Kafka, Spark, Airflow)
Software engineering fundamentals

Tools

Kubernetes
Docker
Cloud-native ML infrastructure

Job description

Regenerative AI in Boston is seeking a Senior Machine Learning Engineer to design and operate production ML systems with feedback loops. You will work on building and maintaining self-adaptive ML systems with monitoring and recalibration features.

Ideal candidates will have over 5 years of experience in ML systems and expertise in Python and modern frameworks. The position offers competitive salary, health benefits, and a flexible work environment.

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