AI Research Engineer

VirtualVocations
Chula Vista, US
On-site

Why this role

Pace
Steady
Collaboration
Medium
Autonomy
High
Decision Impact
Individual
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • designing and implementing advanced machine learning systems
  • evaluating applied AI solutions
  • building production-quality training and inference pipelines
Typical background
Master's or PhD in Computer Science, Machine Learning, Statistics, or a related field

Transferable backgrounds

  • Coming from data scientist
  • Coming from machine learning engineer

Skills & requirements

Required

Machine LearningSoftware EngineeringPythonModern ML FrameworksDeep LearningDistributed TrainingAccelerator Hardware

Preferred

Computer ScienceStatisticsProblem Solving

Stack & domain

PythonPyTorchJaxMachine LearningSoftware EngineeringComputer ScienceStatistics

About the role

Original posting from VirtualVocations

AI Research Engineer is a full-time position focused on designing and implementing advanced machine learning systems to address significant business challenges, requiring extensive experience in applied AI and software engineering. Key Responsibilities Design, prototype, and evaluate applied AI solutions across various domains Translate business problems into machine learning formulations with clear metrics Build production-quality training and inference pipelines using modern ML frameworks Required Qualifications Master's or PhD in Computer Science, Machine Learning, Statistics, or a related field; or equivalent experience Six or more years of combined research and applied ML engineering experience Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX Experience training and evaluating deep learning models at scale Familiarity with distributed training and accelerator hardware

Source: VirtualVocations careers

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