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.

Triage LVN Well Med Austin

Company: UnitedHealth Group

Location: Austin, TX

Posted Jan 24, 2025

WellMed, part of the Optum family, is offering a $2500 sign-on bonus for an external candidate to join their team as a Triage LVN in Austin, TX. The role involves providing clinical support, participating in patient care planning, and performing nursing duties as per state board of nursing guidelines. The company emphasizes a collaborative environment, diversity, and inclusion, with opportunities for career growth and advancement. Required qualifications include a high school diploma, current Vocational/Practical Nursing license, BLS certification, and proficiency in medical terminology and office procedures.

Senior Data Engineer (Python, SQL, AWS)- Dealer Tech

Company: Capital One

Location: Plano, TX

Posted Jan 24, 2025

Capital One is seeking a Senior Data Engineer with expertise in Python, SQL, and AWS. The role involves designing and building an enterprise-level scalable, low-latency, fault-tolerant streaming data platform. The engineer will work with big data technologies like Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Redshift, and NoSQL implementations like DynamoDB, OpenSearch. The position requires at least 3 years of application development experience and 1 year in big data technologies. Preferred qualifications include 5+ years in application development with Python, SQL, Scala, or Java, 2+ years in a public cloud (AWS, Azure, Google Cloud), and 2+ years in real-time data and streaming applications. The role offers a competitive salary, performance-based incentives, and comprehensive benefits. Capital One is an equal opportunity employer committed to diversity and inclusion.

Summer Associate- HHX

Company: Howard Hughes

Location: The Woodlands, TX

Posted Jan 24, 2025

Howard Hughes, a legendary figure in aviation and film, is revered for his real estate investments that form the basis of the company. The company honors the legacy of four innovative placemakers - James Rouse, George Mitchell, Victoria Ward, and Howard Hughes - who envisioned inclusive, conservation-focused communities. Howard Hughes Corporation owns, manages, and develops award-winning master-planned communities and mixed-use developments across the U.S. The company is currently seeking a Summer Associate with a STEM background and experience in machine learning frameworks like TensorFlow or PyTorch. The role involves supporting innovation projects, integrating AI solutions, and conducting technical reviews for startups. The Summer Associate Program offers housing, competitive wages, and opportunities for professional growth and networking.

2025 Summer Intern: Planning Engineer

Company: Spectrum

Location: Austin, TX

Posted Jan 24, 2025

Spectrum is offering a 10-week, full-time internship program for rising seniors with a 3.0 GPA or higher, pursuing degrees in Engineering, Computer Science, or Management Information Systems. The program, designed to provide essential business insights and hands-on experience, includes professional development sessions, networking opportunities, and mentorship. Interns will work on department and team-focused projects, accounting for 80% of their schedule, with the remaining 20% dedicated to professional development and networking activities. The role involves planning the Spectrum Enterprise network, capacity monitoring, creating high-level designs, initiating network initiatives, and identifying resource needs. Preferred qualifications include understanding of network designing software, strong attention to detail, analytical skills, collaboration skills, communication skills, and proficiency in Microsoft Office.

Consulting, Senior Consultant

Company: Deloitte

Location: Dallas, TX

Posted Jan 24, 2025

Deloitte Consulting LLP is seeking a Senior Consultant in Dallas, Texas and various other locations. The role involves driving innovative solutions for clients, creating effective visions and strategies, and developing future-state business processes. Key responsibilities include conducting market analysis, technical enablement assessments, and analyzing financial statements. The ideal candidate will have a Bachelor's degree, 2 years of related work experience, and expertise in Six Sigma, Lean methodologies, Agile Scrum, and Kanban techniques. The role requires 50% travel nationally and offers a broad range of benefits and opportunities for professional development.

Studio Manager, Houston

Company: Equinox

Location: Lake Worth, TX

Posted Jan 24, 2025

SoulCycle is seeking a Studio Manager to contribute to the company's growth. The ideal candidate should embody the SoulCycle culture, have strong interpersonal skills, business acumen, and the ability to creatively problem solve. Responsibilities include fostering the SoulCycle community, developing holistic business plans, building effective teams, and learning on the fly. The role requires superior customer service skills, organization, clear communication, and flexibility to work non-traditional hours.

Operations Manager

Company: nVent

Location: League City, TX

Posted Jan 24, 2025

Sr. Technical Support Engineer, United States Government, Strata

Company: Palo Alto Networks

Location: Plano, TX

Posted Jan 24, 2025

Palo Alto Networks is seeking a network security expert with at least 5 years of experience for a position requiring U.S. citizenship. The role involves providing advanced technical assistance to top-tier customers, troubleshooting complex issues, and driving best practices to improve security posture. The company values collaboration, innovation, and ongoing learning, offering comprehensive benefits and a supportive work environment. The ideal candidate will have expertise in TCP/IP, LAN/WAN technologies, and Remote Access VPN solutions, with strong communication skills and the ability to work outside of normal business hours.

Registered Nurse

Company: DaVita

Location: Atascocita, TX

Posted Jan 24, 2025

Assistant Store Manager

Company: Tory Burch

Location: Austin, 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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