Machine Learning Jobs in Austin, TX

Positions 33,486 Updated daily

Looking for Machine Learning jobs in Austin, TX? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Austin, TX area.

Director of Curriculum and Child Development

Company: Ivybrook Academy

Location: Pflugerville, TX

Posted Apr 15, 2025

Bachelor's degree (Required) with at least 12 college credit hours in child development and six college credit hours in management.

Field Leadman - Glazier

Company: Walters & Wolf Architectural Systems Inc

Location: Austin, TX

Posted Apr 17, 2025

Create a culture of continuous improvement by empowering the field team to identify and resolve the everyday challenges they encounter.

Commission Sales Associate

Company: Exclusive Furniture

Location: Houston, TX

Posted Apr 10, 2025

Ability to influence at all levels, as well as a demonstrated ability to work effectively within a team and be assertive in driving successful management…

AI/ML Developer - AI Trainer

Company: DataAnnotation

Location: Austin, TX

Posted Apr 17, 2025

A bachelor’s degree (completed or in progress). Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python…

Customer Service Representative (CSR)

Company: Jaguar Transport Holdings, LLC

Location: Dallas, TX

Posted Apr 11, 2025

Responding promptly to customer inquiries through various channels such as phone calls, emails, fax etc. Work in conjunction with our Operation & Commercial…

AI/ML Developer - AI Trainer

Company: DataAnnotation

Location: Dallas-Fort Worth, TX

Posted Apr 17, 2025

A bachelor’s degree (completed or in progress). Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python…

Software Engineer

Company: Confidental Company

Location: Houston, TX

Posted Apr 16, 2025

Troubleshoot and configure IOT edge devices and develop a diagnostic infrastructure. Develop software tools to assist in data collection and Automation.

Data Scientist

Company: Auto-Fit Inc

Location: Houston, TX

Posted Apr 09, 2025

Bachelor’s degree in Data Science, Statistics, Computer Science, Supply Chain Management, or a related field. Work with procurement teams to develop data-driven…

HVAC Service Technician

Company: Pipe Wrench

Location: Dallas, TX

Posted Apr 14, 2025

Driver's license with a safe driving record. Perform routine maintenance on HVAC systems to ensure optimal performance including general HVAC in-home service…

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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