Hybrid Junior ML Engineer – Build Trusted AI Systems

Latitude

Austin (TX)

Hybrid

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Medical/dental/vision insurance

401(k) plan

Unlimited PTO

Paid parental leave

HSA and FSA plans

Job summary

Striveworks seeks a Junior Machine Learning Engineer to join our core team in delivering trusted AI systems across real-world use cases. You will work with data scientists, software engineers, and DevOps to develop AI capabilities, analytics, and mission-critical solutions across image, video, text, geospatial, and time-series data.

You will orchestrate complex data pipelines in agentic and traditional architectures, shaping the future of Chariot, our AI operations platform, and supporting

Qualifications

BS degree in computer science, machine learning, or a related discipline.
0–2 years of relevant experience.
Proficiency in Python and ML libraries.
Experience with systems programming language.

Responsibilities

Collaborate with data scientists, software engineers, and DevOps to build AI capabilities.
Develop analytics and mission-critical solutions for varied data modalities.
Design and orchestrate data pipelines across agentic and traditional architectures.
Contribute to Striveworks' AI operations platform and customer deployments.

Skills

Python

PyTorch

TensorFlow

scikit-learn

ML model development

Software engineering fundamentals

US citizenship

Security clearance eligibility

Asynchronous programming

Education

BS degree in computer science, machine learning, or related discipline

Tools

Docker

Podman

Kubernetes

Job description

You will orchestrate complex data pipelines in agentic and traditional architectures, shaping the future of Chariot, our AI operations platform, and supporting

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