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.

global mobility company revenue and services management solutions Senior Finance Manager

Senior Finance Manager

Company: ViaPlus by VINCI Highways

Location: Dallas-Fort Worth, TX

Posted Jan 24, 2025

ViaPlus, a global mobility company specializing in revenue and services management solutions for the transportation industry, is seeking a Senior Finance Manager. The role involves strategic financial planning, budgeting, forecasting, financial reporting, stakeholder engagement, technology and process optimization, and team leadership. The ideal candidate should have a Bachelor's degree in Finance, Accounting, Economics, or a related field, with at least 8 years of progressive finance experience, including 3 years in a managerial role. Advanced proficiency in Microsoft Excel, financial modeling, and data visualization is required. The candidate should also have experience implementing and optimizing financial systems and tools, strong analytical and problem-solving skills, and excellent communication and presentation skills.

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Teachers at Toepperwein Road KinderCare

Company: KinderCare Learning Companies

Location: Converse, TX

Posted Jan 24, 2025

View Details Apply on The Muse

Welder/ Fabricator - Level 4/5 (Starlink)

Company: SpaceX

Location: Lockhart, TX

Posted Jan 24, 2025

View Details Apply on The Muse

Summer 2025-Supply Chain-HR Intern-Dallas, TX

Company: Kroger

Location: Dallas, TX

Posted Jan 24, 2025

View Details Apply on The Muse

Enterprise Account Executive, Spectrum Enterprise

Company: Spectrum

Location: Coppell, TX

Posted Jan 24, 2025

View Details Apply on The Muse

Food & Beverage Team Leader

Company: Target

Location: Katy, TX

Posted Jan 24, 2025

View Details Apply on The Muse

SMT Process Engineering Intern - Summer 2025

Company: Flex

Location: Austin, TX

Posted Jan 24, 2025

View Details Apply on The Muse

Director, Kyndryl Consult Partner - Energy O&G - Houston, TX

Company: Kyndryl

Location: Houston, TX / Remote

Posted Jan 24, 2025

View Details Apply on The Muse

Store Manager in Training

Company: CVS Health

Location: Dallas, TX

Posted Jan 24, 2025

View Details Apply on The Muse

Tire & Battery Technician - Automotive

Company: Walmart

Location: Montgomery, TX

Posted Jan 24, 2025

View Details Apply on The Muse

Teachers at CDLC of The Woodlands

Company: KinderCare Learning Companies

Location: The Woodlands, TX

Posted Jan 24, 2025

View Details Apply on The Muse

Summer Associate, Global Specialty - Construction Bond

Company: The Hartford

Location: Frisco, 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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