Sr. Machine Learning Engineer
Core
Sr. Machine Learning Engineer building high-throughput, low-latency large language model inference systems and production infrastructure for enterprise users.
Role type
Senior IC machine learning engineer (LLM inference & data engineering)
Builds
Scalable AI applications, LLM post-training pipelines, and distributed inference systems
Domain
Artificial Intelligence / Large Language Models / Cloud Infrastructure
Deliverable
production ML models
Required skills
LLM post-training, distributed systems, Python, cloud infrastructure, containerization, data pipelines, GPU scaling, software engineering fundamentals
Preferred skills
Kafka, Cassandra, Spark, Elasticsearch, Terraform, Chef, Ansible, cybersecurity concepts
Technologies
Python, Docker, Kubernetes, AWS, GCP, Kafka, Cassandra, Spark, Elasticsearch, Terraform, Chef, Ansible, GPUs
Responsibilities
Develop and implement machine learning and data engineering solutions; Support LLM post-training, custom model development, and production implementation; Design and maintain scalable data pipelines; Build high-quality solutions for customer-facing AI applications; Analyze systems for vulnerabilities and performance gaps; Develop and maintain distributed systems for large-scale AI workloads; Own engineering work end-to-end including deployment and monitoring; Mentor fellow engineers; Stay current with emerging machine learning technologies.
Seniority
Senior, hands-on IC with mentorship responsibilities
