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.

(USA) Pharmacy Tech Sam's

Company: Walmart

Location: Lubbock, TX

Posted Jan 24, 2025

View Details Apply on The Muse

Office Coordinator - Houston

Company: iRhythm Technologies

Location: Houston, TX

Posted Jan 24, 2025

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Senior Software Engineer, Full Stack (Java, Spring Boot, Angular, Lit)

Company: Capital One

Location: Plano, TX

Posted Jan 24, 2025

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Technician, General Facilities Maintenance

Company: Walmart

Location: El Paso, TX

Posted Jan 24, 2025

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Senior Technical Support Engineer, NGFW

Company: Palo Alto Networks

Location: Plano, TX

Posted Jan 24, 2025

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Regional Sales Manager, Federal - Air Force

Company: Palo Alto Networks

Location: Austin, TX

Posted Jan 24, 2025

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Channel Systems Engineer 2

Company: Palo Alto Networks

Location: Dallas, TX

Posted Jan 24, 2025

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Sr. Technical Support Engineer, United States Government, VM Specialist

Company: Palo Alto Networks

Location: Plano, TX

Posted Jan 24, 2025

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global investment research firm over 1300 employees delivering outstanding client service

Associate, Consulting Clients - Dallas (2025 Start Dates)

Company: Third Bridge Group Limited

Location: Dallas-Fort Worth, TX

Posted Jan 24, 2025

Third Bridge, founded in 2007, is a global investment research firm with over 1300 employees. They offer expert research services to private equity funds, consulting firms, credit, and public equity funds. The company is committed to fostering growth, collaboration, and rewarding bold action. They are currently hiring for an Associate Consulting Clients role, which involves delivering outstanding client service, understanding client needs, problem-solving, building and maintaining relationships with experts, and managing commercial projects. The role offers competitive compensation, clear performance goals, and opportunities for career progression. Third Bridge values diversity and inclusivity, and is an equal opportunity employer.

View Details Apply on BuiltIn

Strategic Account Specialist, Healthcare, Spectrum Enterprise

Company: Spectrum

Location: Coppell, TX

Posted Jan 24, 2025

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Quant Analytics - Auto Finance Management - Senior Associate:

Company: JPMorgan Chase

Location: Plano, TX

Posted Jan 24, 2025

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Summer Associate- Design & Construction Management

Company: Howard Hughes

Location: The Woodlands, TX

Posted Jan 24, 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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