Junior Machine Learning Engineer
Full-time
Striveworks
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.
Vacancy posted 10 days ago
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