Junior Machine Learning Engineer

Summary by AIEngineer.careers

Junior Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Striveworks. in AUSTIN, US. Compensation shown: $100K–$130K. Imported listing (source: devportalnotes.com). Apply on the employer's site (devportalnotes.com).

Imported listing (source: devportalnotes.com) · Apply on devportalnotes.com

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AUSTIN · US

$100K–$130K

Full-time

JUNIOR

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Imported job description

Sourced from devportalnotes.com

Striveworks builds production AI systems and the Chariot AIOps platform for mission-critical environments. As a Junior Machine Learning Engineer, you will develop AI capabilities, analytics, and data pipelines across image, video, text, geospatial, and other modalities. You will orchestrate complex data engineering pipelines in both agentic and traditional architectures and contribute to the Chariot AI operations platform.

Responsibilities

Develop AI capabilities and custom analytics for customer projects and products
Work with image, video, text, geospatial, time series, and structured data
Orchestrate complex data engineering pipelines in agentic and traditional architectures
Contribute to the Chariot AI operations platform

Requirements

BS in Computer Science, Machine Learning, or a related field with 0–2 years of relevant experience
Strong proficiency in Python with PyTorch, TensorFlow, and/or scikit-learn
Solid software engineering fundamentals and experience with at least one systems language
Exposure to developing and using machine learning models
US citizenship and eligibility for Secret clearance or higher

Nice to Have

Experience with data pipelines
Familiarity with agentic architectures

Benefits

medical-insurancedental-insurancevision-insurancelife-insurancehsafsa401kunlimited-ptoparental-leave

Tech Stack

Data PipelinesMachine LearningPythonPyTorchScikit-learnTensorFlow

Striveworks

Austin · US · 84+ employees

Striveworks is an Austin-based artificial-intelligence and software company founded in 2018. It develops trustworthy, production-grade AI and machine-learning systems for government and enterprise customers, including deployments in disconnected, high-stakes, and edge environments.