AI / ML Engineer Jobs in Austin

4 positions available in TX. Live music meets Silicon Hills with 280K+ tech, software, and creative jobs

Senior Machine Learning Engineer (Nova)

Iterable • Atlanta, Georgia; Austin, Texas; Boston, Massachusetts; Chicago, Illinois; Denver, Colorado; New York, New York; San Francisco, California

remote

Full-Stack AI Engineer (Contract)

Form AI • REMOTE (US) / Austin

remote

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Machine Learning Engineer - Strategic Data Solutions

Apple • Austin, TX, US

onsite

Related Roles in Austin

Backend Developer Mobile Developer Product Manager Scrum Master

AI / ML Engineer in Other Cities

San Diego (CA) Dallas (TX) San Jose (CA) San Francisco (CA)

What Does a AI / ML Engineer Do?

AI/ML engineers develop machine learning models and AI systems that learn from data to make predictions or decisions. They work on model architecture, training, optimization, and deployment to production systems.

AI / ML Engineer Salary in Austin

The median salary for a AI / ML Engineer in Austin is $108,020 per year. The range is $82K - $142K (P10: $61,010, P90: $184,570). (BLS OEWS 2025) Typical US salary range: $110K - $180K. In Europe: €75K - €120K. Cost of living in Austin is high compared to other cities.

Most In-Demand Skills

Python TensorFlow/PyTorch Machine Learning Theory NLP/Computer Vision Model Optimization LLM Fine-tuning

The Austin Job Market

Live music meets Silicon Hills with 280K+ tech, software, and creative jobs. Austin's tech boom combined with quality of life has made it the fastest-growing major tech city, though costs are rising.

Top industries: Technology, Software, Gaming & Creative, Music & Entertainment.

Public transit improving but still car-centric; tech companies embrace hybrid and remote work culturally.

Career Path & 2026 Trends

AI/ML engineers advance to senior ML engineer, research engineer, or ML platform architect; many pursue specialization in specific domains like NLP or computer vision. AI/ML engineering in 2026 is dominated by generative AI, with massive demand for engineers who can fine-tune and deploy LLMs in production environments.

Interview Tip

Walk through your model development lifecycle—discuss data preparation, model selection, hyperparameter tuning, and evaluation metrics that matter for the business.

How to Find a AI / ML Engineer Job in Austin?

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