Senior Machine Learning Engineer, Defensive Agent

The Ladders
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$211,000.0 - $249,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Extract Transform Load (ETL) Python (Programming Language) Machine Learning Operational Databases Software Engineering SQL Databases Management of Software Versions Large Language Models Containerization
+3 more
Information Technology Machine Learning Operations Docker

Job description

This role will focus on building and scaling production ML systems that support advanced defensive capabilities in a highly technical environment. You will own the end-to-end path from training and post-training workflows through inference, serving, monitoring, and model release operations. The position partners closely with product and engineering teams to improve reliability, performance, and cost efficiency while delivering secure, tenant-isolated experiences., * Build and maintain training and post-training pipelines, including data preparation and experiment tracking

  • Create the inference and serving layer with features such as provider routing and regional data residency
  • Own and optimize the model release path, including versioning and rollback processes
  • Establish monitoring for model performance, including regression and quality signals
  • Develop data and context pipelines for inference while ensuring tenant isolation
  • Optimize cost and latency across the inference path, making tradeoffs clear for product decisions
  • Enhance product features through ETL and GraphQL integrations, incorporating model outputs into tooling

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 5+ years of professional software engineering experience, with strong skills in production Python
  • Proven experience taking ML or LLM systems from prototype to production
  • Hands-on experience with machine learning pipelines and tooling
  • Experience operating inference or model-serving infrastructure in production
  • Proficiency in SQL and experience with production data pipelines
  • Familiarity with cloud platforms such as AWS, Azure, or GCP, and container technologies such as Docker and Kubernetes

Benefits & conditions

  • Inclusive team environment promoting diversity
  • Opportunities for career growth and development
  • Innovative culture encouraging creativity
  • Flexible hybrid and remote work options
  • Comprehensive health, vision, and dental benefits for employees and families
  • Generous vacation policy and parental leave

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.

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