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.

Customer Service Associate

Company: Walgreens

Location: Spring, TX

Posted Jan 24, 2025

The job description involves providing a distinctive and delightful customer experience, including greeting customers, offering assistance, resolving issues, and sharing best practices. The role also encompasses operational tasks such as maintaining store cleanliness, implementing asset protection procedures, and ensuring compliance with regulated product laws. The employee is expected to have a working knowledge of store systems and equipment, and may be required to assist with web pick-ups and exterior/interior maintenance. Basic qualifications include fluency in English and flexibility for various shifts. Preferred qualifications include retail experience and prior Walgreens experience.

Meat Packer (Night)

Company: Sysco

Location: Dallas, TX

Posted Jan 24, 2025

(USA) Optician Sam's PT

Company: Walmart

Location: Garland, TX

Posted Jan 24, 2025

Guest Advocate (Cashier or Front of Store Attendant/Cart Attendant) (T2389)

Company: Target

Location: Atascocita, TX

Posted Jan 24, 2025

Target, a Fortune 50 company, is seeking a Guest Advocate. The role involves providing exceptional guest service, solving guest concerns, and promoting Target's services and benefits. Key responsibilities include greeting guests, understanding their needs, assisting with returns, and maintaining a clean work area. The ideal candidate is energetic, communicative, and comfortable with multi-tasking in a fast-paced environment. No two days are the same, offering variety and continuous learning opportunities.

Retail Sales Associate - Gateway Market

Company: Gap Inc.

Location: Austin, TX

Posted Jan 24, 2025

Old Navy is a fashion retailer that aims to democratize style and make shopping enjoyable. They offer high-quality, affordable essentials for the whole family. The company, founded in 1994, values a fun, fast-paced work environment and community. The role involves providing excellent customer service, product expertise, and promoting brand loyalty. Benefits include a merchandise discount, competitive Paid Time Off, volunteer hours, extensive 401(k) plan, and health insurance. Old Navy is committed to diversity and inclusion.

Inventory Specialist

Company: Walgreens

Location: Fort Worth, 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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