Founding Machine Learning Engineer

Adaptive Security
New York
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Autonomy","Mentoring","Communication","Leadership","Collaboration"]

Staff ML Engineer to define and build Adaptive's ML capabilities from the ground up. Own the strategy, infrastructure, and hands-on work to apply ML across products, design end-to-end production ML systems (data pipelines, training, evaluation, inference), and partner with product engineers to integrate ML into the product, with potential to build and lead the ML team as scope grows.

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FursaFursa
Adaptive Security
Adaptive Security
7 months ago

Founding Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Staff ML Engineer to define and build Adaptive's ML capabilities from the ground up. Own the strategy, infrastructure, and hands-on work to apply ML across products, design end-to-end production ML systems (data pipelines, training, evaluation, inference), and partner with product engineers to integrate ML into the product, with potential to build and lead the ML team as scope grows.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Define Adaptive's ML strategy: where ML should be applied across our products, what infrastructure we need, and how we should approach build vs. buy decisions.
  • •Design and build production ML systems end-to-end — data pipelines, model training, evaluation frameworks, and inference serving.
  • •Establish evaluation methodology. Define how we measure model quality, catch regressions, and make data-driven decisions about model changes.
  • •Own the strategy for getting the data you need, in the format you need it — what/how to label, how to build feedback loops, and how our models improve over time.
  • •Partner with product engineers to integrate ML into the product. You will write production code and work within our existing codebase.

Key Requirements

  • •8+ years of experience building ML systems in production, ideally with experience standing up the ML function at an early stage startup or as the senior or lead ML person at a previous company.
Experience:8+ yearsAICybersecurity
Skills:AutonomyMentoringCommunicationLeadershipCollaboration
Tech Stack:PythonJavaTypeScriptAWS SageMakerBedrockModalBasetenPyTorchTensorFlowSpark

Company Brief

Adaptive Security
Provides AI-native security awareness training and multi-channel attack simulations to protect organizations from deepfakes, vishing, smishing, and other AI-powered social engineering threats.
Industry: Cybersecurity
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2024
Glassdoor
Glassdoor: 3.3
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