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.

Cellular SOC Design Verification Engineer

Company: Apple

Location: Austin, TX

Posted Jan 24, 2025

Apple is seeking a Design Verification Engineer for a cutting-edge project in their Silicon Engineering Group. The role involves crafting and productizing state-of-the-art Cellular SoCs, integrating sophisticated IP level DV environments, and implementing effective test suites. The engineer will collaborate with other product development groups to push industry boundaries and improve customer experience. The position offers learning opportunities in large scale SOC design, complex verification test benches, SOC architectures, high speed protocols, and more.

Teachers at Howe KinderCare

Company: KinderCare Learning Companies

Location: Denison, TX

Posted Jan 24, 2025

KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award, offers a variety of early education and child care options. They invest in teachers, center staff, and field leaders, who are considered the heart and soul of the business. The company provides comprehensive benefits, including discounted child care, medical, dental, and vision coverage, and employee assistance programs. KinderCare operates in more than 2,000 sites and centers across 40 states, committed to providing high-quality child care to all families, regardless of their background.

Manager, Data Science

Company: Cinemark

Location: Plano, TX

Posted Jan 24, 2025

Cinemark is seeking a data scientist to lead the development and application of analytic methods for solving business problems and deriving business insights. The role involves supervising data science professionals, producing compiled data and reports, and influencing others across all levels of the organization. The ideal candidate should have a MSc/PhD in Statistics, Math, Operation Research or related field, with 6+ years of experience and proficiency in R, Python, and SQL. They should also possess strong leadership skills, intellectual curiosity, and the ability to explain complex statistical models to team members.

Patient Care Technician

Company: DaVita

Location: Houston, TX

Posted Jan 24, 2025

DaVita, an Italian term for 'giving life', is recruiting a Patient Care Technician for an outpatient dialysis center in Houston, Texas. The role involves direct patient care, technician duties, and building relationships with patients suffering from end-stage renal disease. No dialysis experience is required, and DaVita offers comprehensive training, clear career advancement paths, and a supportive team environment. The position requires flexibility, comfort with blood and needles, and physical stamina for long hours on feet.

(USA) Personal Shopper - Sam's

Company: Walmart

Location: Beaumont, TX

Posted Jan 24, 2025

Appeals and Grievances Medical Director - Cardiology Specialty Required - Virtual

Company: UnitedHealth Group

Location: Houston, TX

Posted Jan 24, 2025

UnitedHealthcare is offering a Medical Director role for Appeals and Grievances, with the opportunity to work remotely from anywhere in the U.S. The role involves clinical review and adjudication of appeals and grievances cases for various health plan and insurance products. The successful candidate will communicate with medical directors, provide clinical and strategic input, and participate in team meetings. Required qualifications include an MD or DO with an active, unrestricted license, board certification in Cardiology, 5+ years of clinical practice experience, 2+ years of Quality Management experience, and proficiency in managed care. The role offers a competitive salary range and comprehensive benefits package.

Teachers at Emerald Wood KinderCare

Company: KinderCare Learning Companies

Location: Austin, TX

Posted Jan 24, 2025

KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award, offers a variety of early education and child care options. They invest in teachers, center staff, and field leaders, who are considered the heart and soul of the business. The company provides comprehensive benefits, including discounted child care, medical, dental, and vision coverage, and employee assistance programs. KinderCare operates in more than 2,000 sites and centers across 40 states, committed to providing high-quality child care to all families, regardless of their background.

(USA) COACH/OPS MGR TRAINEE

Company: Walmart

Location: Fort Worth, TX

Posted Jan 24, 2025

The role involves leading and developing teams effectively through teaching, training, and active listening. This includes touring stores, providing feedback, and communicating with associates at all levels regarding store operations and business initiatives. The individual will model exceptional customer service, resolve customer issues, and drive financial performance and sales. They will also supervise and develop hourly associates, ensuring compliance with company policies and promoting a culture of belonging. The role requires respect for individuals, integrity, customer focus, and a strive for excellence.

Teachers at Las Colinas KinderCare

Company: KinderCare Learning Companies

Location: Irving, TX

Posted Jan 24, 2025

KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award, offers a variety of early education and child care options. They emphasize building confidence in kids, families, and the future. The company values its teachers, center staff, and field leaders, providing them with comprehensive benefits and opportunities for career growth. They implement a curriculum tailored to each child's needs, fostering a safe, nurturing environment for learning and growth. KinderCare's commitment to quality child care is reflected in their accredited programs across 40 states and the District of Columbia.

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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