Machine Learning Jobs in Austin, TX

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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.

Benefits Manager, Life@ Health

Company: Meta

Location: Austin, TX

Posted Feb 06, 2025

View Details Apply on The Muse

Management Trainee - North West San Antonio

Company: Enterprise Mobility

Location: San Antonio, TX

Posted Feb 06, 2025

View Details Apply on The Muse

Technician, Refrigeration/HVAC

Company: Walmart

Location: White, TX

Posted Feb 06, 2025

View Details Apply on The Muse

Procurement Category Manager - Marketing & Corporate Services

Company: Cloudflare

Location: Austin, TX

Posted Feb 06, 2025

View Details Apply on The Muse

Java Microservices Developer

Company: Infosys

Location: Dallas, TX

Posted Feb 06, 2025

View Details Apply on The Muse

Retail Sales Associate - Westgate Village

Company: Gap Inc.

Location: Amarillo, TX

Posted Feb 06, 2025

View Details Apply on The Muse

ASIC Implementation Engineer - Synthesis

Company: Meta

Location: Austin, TX

Posted Feb 06, 2025

View Details Apply on The Muse

Machine Operator

Company: On-X Life Technologies, Inc.

Location: Austin, TX

Posted Feb 06, 2025

High school diploma or equivalent; technical training or certification in CNC machining is a plus. Experience with dimensional measurement tools such as…

View Details Apply on SimplyHired

AI Developer - LLM Applications, NLP, Ontologies and Knowledge Graphs

Company: Siemens Digital Industries Software

Location: Plano, TX

Posted Feb 06, 2025

View Details Apply on The Muse

Fraud Servicing Credit Card - 2nd Shift

Company: Bank of America

Location: Fort Worth, TX

Posted Feb 06, 2025

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Community Partnerships Lead - Remote Opportunity

Company: KinderCare Learning Companies

Location: Dallas, TX

Posted Feb 06, 2025

View Details Apply on The Muse

In Home Board Certified Behavior Analyst - BCBA

Company:

Location: Round Rock, TX

Posted Feb 06, 2025

View Details Apply on The Muse

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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