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.

Shift lead

Company: Banfield Pet Hospital

Location: Lewisville, TX

Posted Jan 23, 2025

Pharmacy Manager

Company: Walgreens

Location: Deer Park, TX

Posted Jan 23, 2025

Data Literacy & Community Lead

Company:

Location: Houston, TX

Posted Jan 23, 2025

Customer Service Associate

Company: Walgreens

Location: Austin, TX

Posted Jan 23, 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, flexibility in scheduling, and preferably six months of retail experience. The position offers a salary range of $15 - $17.5 per hour.

Data Literacy & Community Lead

Company:

Location: Houston, TX

Posted Jan 23, 2025

Pharmacy Customer Service Associate

Company: Walgreens

Location: Grand Prairie, TX

Posted Jan 23, 2025

Full Time Tax Consultant (Accounting) (Summer/Fall 2025, Winter 2026)

Company: Deloitte

Location: Houston, TX

Posted Jan 23, 2025

Deloitte is seeking a Full Time Tax Consultant with a salary range of USD 51,520.00 - 99,600.00 per year. The role involves managing taxes as part of an effective business strategy, analyzing tax implications of complex decisions, and reducing overall tax rates. The ideal candidate is a highly-motivated, out-of-the-box thinker who thrives in a dynamic environment. They will work directly with clients, collaborating with high-performing teams to solve complex tax issues. The successful candidate will prioritize tasks, work independently, and demonstrate strong communication skills. Deloitte offers a diverse, equitable, and inclusive culture with opportunities for professional development and a focus on sustainability, equity, and trust.

Internal Audit - Wealth Management/investment Management/Risk Governance-RIA-, Vice President - Dallas, TX

Company: Goldman Sachs

Location: Dallas, TX

Posted Jan 23, 2025

Goldman Sachs, a leading global investment firm, is seeking detail-oriented Internal Auditors with a strong risk and control mindset. The role involves assessing financial controls, monitoring compliance, and advising on control solutions. Candidates should have 10+ years of experience in public accounting, internal audit, or a related control function, and a degree in finance, accounting, or a quantitative discipline. Relevant certifications and experience with data analytics are plusses. The firm values diversity and offers comprehensive benefits and growth opportunities.

Customer Service - Donor Support Technician (Bilingual - English/Spanish)

Company: CSL

Location: McAllen, TX

Posted Jan 23, 2025

The job involves preparing the donor and equipment for the pheresis process, monitoring the donor and process, recording incidents, maintaining a clean work environment, and ensuring accurate data recording. The role requires a high school diploma, minimal work experience, and the ability to perform basic math. The position involves physical tasks such as standing, walking, reaching, bending, and occasionally lifting up to 25 pounds. The work environment can be fast-paced with frequent interruptions and exposure to hazardous chemicals and blood-borne pathogens. The company values diversity and inclusion, and the role is crucial in supporting patients with rare and serious diseases.

Frequently Asked Questions

What are typical salary ranges for Machine Learning roles by seniority?
Machine Learning salaries vary based on location, industry, and specialized skills. Junior ML Engineers typically earn $90,000 - $130,000, while Mid-level professionals command $120,000 - $180,000. Senior ML Engineers and Lead Data Scientists often see ranges from $160,000 - $250,000+, with principal or staff roles potentially exceeding $300,000, especially in competitive tech hubs or for expertise in niche areas like Generative AI or MLOps.
What essential skills and certifications are required for Machine Learning positions?
Core skills include strong proficiency in Python (with libraries like TensorFlow, PyTorch, scikit-learn), R, or Java. Expertise in data manipulation (SQL, Pandas), cloud platforms (AWS Machine Learning, Azure ML, Google Cloud AI Platform), and various ML algorithms (CNNs, RNNs, Transformer models) is critical. Relevant certifications like the AWS Certified Machine Learning – Specialty or Google Professional Machine Learning Engineer can validate your expertise and enhance your candidacy.
Is remote work common for Machine Learning jobs?
Yes, remote work opportunities are increasingly prevalent for Machine Learning professionals, especially for mid to senior-level roles. The nature of ML development, often involving cloud-based environments, Jupyter notebooks, and collaborative coding platforms, lends itself well to distributed teams. Many companies actively seek remote ML talent to access a wider pool of specialized expertise, though some roles may still require occasional on-site collaboration.
What are the typical career progression paths for Machine Learning professionals?
Machine Learning careers offer diverse progression. Individual contributor paths can lead from ML Engineer to Senior, Principal, or Staff ML Engineer, focusing on deep technical impact. Management tracks include ML Team Lead, Engineering Manager, and Director of AI/ML. Specialization is also a common path, focusing on areas like Natural Language Processing, Computer Vision, Reinforcement Learning, or becoming an MLOps expert, often leading to architect or distinguished engineer roles.
What are the most significant industry trends impacting the Machine Learning field?
Key trends include the rapid advancement and adoption of Generative AI, particularly Large Language Models (LLMs) and diffusion models, transforming content creation and automation. MLOps maturity is crucial for deploying and managing models at scale, while Explainable AI (XAI) and ethical AI frameworks are gaining importance. Other significant trends involve Edge AI, enabling on-device ML, and the increasing application of Reinforcement Learning in complex decision-making systems across various industries.

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