Top Entry Level Machine Learning Jobs in Austin, TX

Design, develop, and deploy data-driven solutions across product lifecycle. Partner with design, manufacturing, test, and quality teams. Mine and analyze company data, build custom models and algorithms, monitor model performance, and propose continuous improvement strategies. Integrate with vendor software and support product modifications and maintenance.

Develop and deploy machine learning and AI solutions for high-volume semiconductor wafer manufacturing. Integrate quality, engineering, production, and support teams to detect and prevent incidents, model large multi-source datasets, collaborate with SMEs, and contribute to global factory standardization and analytics improvements.

Design, develop, and implement AI/ML models; analyze large datasets; integrate AI solutions into existing systems; apply MavLink for autonomous systems; collaborate across teams and improve ML development processes.

Design, build, and ship production-grade AI and data solutions (LLM apps, ML models, APIs). Consult on architecture, own features end-to-end, apply cloud and data engineering, lead design thinking workshops, and collaborate across teams to deliver measurable business impact.

Join Optiver as a Graduate Quantitative Researcher to analyze large-scale market and order-flow data, develop predictive and stochastic models, apply machine learning and deep learning techniques, and translate research into live trading solutions.

Develop, implement, and deploy scalable machine learning models for healthcare solutions. Collaborate cross-functionally to integrate models, analyze data to improve performance, ensure data quality, and stay current with ML advancements to support patient care and operational efficiency.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.

Paid 3-month remote contract for students or recent grads to build and test LLM-based solutions using the Token Factory inference platform. Assist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization. Run performance and quality experiments and contribute to internal tooling and automation. Mentorship provided; strong performers may be considered for full-time roles.