Junior Machine Learning Engineer

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Junior Machine Learning Engineer in USA new

Striveworks
Full time
Email

USA
10/03/2026
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Austin, TX

Responsibilities

Develop AI capabilities, custom analytics, and mission-critical solutions for image, video, text, geospatial, time-series, structured, and other data.
Orchestrate complex data engineering pipelines in agentic and traditional architectures.
Contribute to customer-driven projects and the ongoing development of the Chariot AI operations platform.
Work with data scientists, software engineers, and DevOps engineers on deployed AI systems and direct customer engagements.

Requirements

BS degree in computer science, machine learning, or a related discipline.
0–2 years of relevant experience.
Strong Python proficiency, including experience with PyTorch, TensorFlow, and/or scikit-learn.
Strong software engineering fundamentals and experience with at least one systems programming language.
Exposure to developing and using machine learning models through coursework or practical experience.
Familiarity with modern software engineering tools and processes.
US citizenship and eligibility and willingness to obtain and maintain a US security clearance at Secret level or above.
Preferred qualifications include software development projects, an advanced degree, exploratory data analysis, agentic workflows, LLM evaluation, observability, guardrails, vector databases, embeddings, RAG, client-server architectures, containerized or cloud deployments, asynchronous programming, concurrency, event-driven architectures, and an active Secret-or-higher clearance.

Benefits

Medical, dental, and vision insurance.
Voluntary life, long-term disability, accident, and hospital indemnity insurance.
HSA and FSA plans, including dependent care FSA.
401(k) plan.
Unlimited PTO and paid parental leave.
Hybrid/on-site work environment in Austin, TX, with up to 25% travel.

Salary: $100k - $130k/yr

Striveworks

Striveworks builds Chariot, an MLOps platform for enterprises and public-sector teams to manage data, develop models, and govern, deploy, and monitor ML at the edge, including disconnected and high-stakes environments. The company sells software and services for computer vision, geospatial, and o...

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