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.

Technical Product Manager

Company: Gatewise

Location: Houston, TX

Posted Feb 02, 2025

Gatewise, an early-stage startup, is seeking a self-driven product manager with 4+ years of B2B product experience. The role involves working closely with users, stakeholders, and cross-functional teams to define product roadmaps, craft requirements, and measure KPIs. The company values work-life balance, clear communication, and user-centric product development. Benefits include equity compensation, asynchronous work culture, and unlimited paid time off. Gatewise offers innovative smart technologies for property management, with a growing customer base and plans to expand its product offerings in 2025.

(USA) Senior, Software Engineer, Mobile

Company: Walmart Global Tech

Location: Dallas-Fort Worth, TX

Posted Feb 02, 2025

The job posting is for a Senior Mobile Engineer position at Walmart Global Tech. The role involves designing and implementing complex features for Walmart's iOS or Android applications, defining roadmaps, and leading a team of senior engineers. The ideal candidate should have 5+ years of experience in mobile engineering, proficiency in Swift, and a strong background in CICD frameworks. The role offers competitive compensation, benefits, and opportunities for professional growth.

Registered Nurse

Company: DaVita

Location: Houston, TX

Posted Feb 03, 2025

Cybersecurity Intern

Company: Q2

Location: Austin, TX

Posted Feb 02, 2025

Q2 is a company that prides itself on its mission to build strong, diverse communities by strengthening financial institutions. They offer a 12-week Summer Internship Program in digital banking software and technology, with opportunities for networking, workshops, and presentations to executive leadership. The role involves enhancing the Email Phishing Service, collaborating on cybersecurity initiatives, and researching new security technologies. Q2 values its employees, offering learning opportunities, mentorship programs, and a fun work environment. They are committed to diversity and inclusion, supporting various community organizations.

Lead Endpoint Management Engineer

Company: Optimum

Location: Dallas-Fort Worth, TX

Posted Feb 02, 2025

Optimum, a leader in connectivity, is seeking an experienced Lead Endpoint Management Engineer. The role involves designing, implementing, and providing third-level support for enterprise systems management tools, including Microsoft Intune and System Center Configuration Manager. Responsibilities include architecture oversight, troubleshooting, application packaging, security patch management, and collaboration with various systems management solutions. Qualifications include a Bachelor's degree in Computer Science or related field, minimum 8 years of IT experience, and expertise in Microsoft Windows operating systems and endpoint management tools. Optimum values Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise, and offers competitive pay based on skills and experience.

Sales Representative

Company:

Location: Denton, TX

Posted Feb 03, 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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