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.

Registered Nurse

Company: DaVita

Location: Houston, TX

Posted Jan 23, 2025

DaVita, an Italian term meaning 'giving life', is seeking a compassionate Nurse for an outpatient dialysis center in Houston, Texas. The role requires dialysis experience and a flexible schedule, including mornings, evenings, weekends, and holidays. The nurse will build long-term relationships with patients and their families, deliver care in a positive environment, and oversee patient observations and machine setup. DaVita offers comprehensive benefits, including medical, dental, vision, 401(k) match, paid time off, and more. The company is committed to diversity and belonging, and is an equal opportunity employer.

Manager, Research Science (Foundational Research, Machine Learning)

Company: Thomson Reuters

Location: Frisco, TX

Posted Jan 23, 2025

Thomson Reuters Labs is seeking Research Scientist Managers for leading teams in state-of-the-art foundational machine learning research. The role involves strategic planning, hiring, and management in foundational research, innovation, experimentation, development, collaboration, and communication. The ideal candidate should have a PhD in a relevant discipline, strong publication record, familiarity with deep learning frameworks, and experience in ML research beyond PhD. Preferred qualifications include high-impact publications, extensive experience with deep learning and large-scale model training, and software engineering skills.

Customer Service - Donor Support Technician

Company: CSL

Location: San Antonio, TX

Posted Jan 23, 2025

The role involves preparing the donor and equipment for pheresis processes, monitoring the donor and process, responding to alarms, disconnecting the donor upon completion, and maintaining a clean work environment. The job requires understanding and following instructions, manual dexterity, and occasional lifting. Overtime and extended hours may be required. Benefits include working for a global organization committed to helping people with rare diseases.

Clinical Nutrition Manager III

Company: Sodexo

Location: Amarillo, TX

Posted Jan 23, 2025

Sodexo is seeking a Registered Dietitian for a Clinical Nutrition Manager role at BSA Health System in Amarillo, TX. The successful candidate will oversee clinical nutrition programs across 3 facilities, guide a team of dietitians and techs, and collaborate with Sodexo's national patient menu. Benefits include 4 weeks' vacation after 12 months, reimbursement for professional dues, continuing education events, and up to $5000 annual tuition reimbursement. Sodexo values continuous learning, mentoring, and career growth, offering a comprehensive benefits package and fostering a culture of diversity and inclusion.

Prototype Machinist

Company: Enovis

Location: Austin, TX

Posted Jan 23, 2025

Enovis, a medical technology growth company, is seeking a Prototype Machinist for its Surgical R&D Prototype team in Austin, TX. The role involves working with cross-functional teams to manufacture surgical instruments and implant medical devices, using CAM Software (MasterCam) and demonstrating extensive knowledge of operational and manufacturing principles. The ideal candidate should have 10+ years of experience with CNC Mills and Lathes, preferably in medical devices or orthopedics, and proficiency in 3D CAD packages (SolidWorks) and CAM packages (MasterCam). Enovis offers a comprehensive benefits package and is committed to creating better patient outcomes and transforming workflows.

Electrical Assembler

Company: Schneider Electric

Location: Dallas, TX

Posted Jan 23, 2025

RTL Design Engineer

Company: Apple

Location: Austin, TX

Posted Jan 23, 2025

Apple is seeking a results-oriented RTL Design Engineer to join their world-class mixed-signal silicon design team. The role involves gaining a solid foundation in logic circuits, understanding analog circuits, and working with full custom schematics for analog and high-speed digital circuits. The engineer will translate functionality into software behavioral representation, simulate code, and ensure formal equivalence. They will also participate in design verification, bring-up, and lab testing. Minimum qualifications include a BS degree in a technical discipline. Preferred qualifications include a strong understanding of mixed-signal concepts, RTL design, Verilog and SystemVerilog, and knowledge of front-end tools. Apple is an equal opportunity employer committed to inclusion and diversity.

Pharmacy Manager

Company: Walmart

Location: Austin, TX

Posted Jan 23, 2025

The Pharmacist in Charge position at Walmart is a fast-paced role requiring strong clinical knowledge and business acumen. The ideal candidate will be an advocate for patient-centered care, adaptable to diverse patient backgrounds, and passionate about community involvement. They will lead by example, inspiring staff to deliver high-level patient care and drive pharmacy sales and profit. The role involves comprehensive patient care, community outreach, and ensuring compliance with policies and regulations. Benefits include competitive pay, performance bonuses, and a range of health, financial, and time-off benefits.

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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