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.

Sales Management Trainee

Company: Enterprise Mobility

Location: Galveston, TX

Posted Jan 24, 2025

Customer Service Associate

Company: Walgreens

Location: Groves, TX

Posted Jan 24, 2025

The text describes a job role that involves delivering a distinctive and delightful customer experience. The responsibilities include engaging customers, resolving issues, and providing efficient checkout service. The role also involves maintaining store cleanliness, implementing asset protection procedures, and ensuring compliance with regulated product laws. The job requires fluency in English and a flexible schedule, including evenings and weekends. Preferred qualifications include prior retail experience and familiarity with Walgreens.

Pharmacy Intern

Company: Walgreens

Location: El Paso, TX

Posted Jan 24, 2025

The job involves learning to provide excellent patient experience by assisting pharmacists and team members, adhering to regulations. Key responsibilities include engaging customers, resolving issues, and maintaining a positive customer experience. The role also involves assisting in pharmacy operations, such as prescription processing, inventory management, and maintaining a clean, orderly pharmacy. The ideal candidate is a current pharmacy student, fluent in English, and willing to work flexible hours. Prior retail experience and good math skills are preferred.

ASIC Engineer, Design Verification

Company: Meta

Location: Austin, TX

Posted Jan 24, 2025

Meta is seeking an ASIC Design Verification Engineer with experience in IP and SoC verification for data center applications. The role involves developing verification plans, building test benches, and driving verification to closure. The engineer will collaborate with various teams to ensure high design quality and use advanced verification methodologies. The ideal candidate should have a degree in Computer Science or related field, 5+ years of experience in SystemVerilog/UVM, and proficiency in EDA tools. Meta offers competitive compensation and benefits.

Customer Service Associate

Company: Walgreens

Location: Houston, TX

Posted Jan 24, 2025

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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