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Senior Machine Learning Jobs in Texas (NOW HIRING)

Avride

Senior / Staff Machine Learning Engineer

Austin, TX

$124K - $171K/yr

Senior / Staff Machine Learning Engineer Austin, TX About the Team Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent ...

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Machine Learning Engineer

Austin, TX

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

About the Role We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready ...

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Senior Machine Learning information

See Texas salary details

$23.3K

$74.8K

$152.3K

How much do senior machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for senior machine learning in Texas is $74,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,700.00 and $96,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are Senior Machine Learning engineers?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Senior Machine Learning jobs in Texas? For Senior Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning jobs in Texas look for? The top searched job categories for Senior Machine Learning jobs in Texas are:
What cities in Texas are hiring for Senior Machine Learning jobs? Cities in Texas with the most Senior Machine Learning job openings:
Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in Texas as of May 2026, with employment types broken down into 3% As Needed, 71% Full Time, 19% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $74,800 per year, or $36 per hour.
Finance Digital Transformation - Senior Machine Learning Engineer

Finance Digital Transformation - Senior Machine Learning Engineer

Apple

Austin, TX • On-site

$121K - $160K/yr

Full-time

Posted 26 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. ..As a senior machine learning engineer in Finance, you'll play an integral and global role in building the platform, data foundations, and services used for transforming Finance's organization.
You'll learn intra-team and business process to build infrastructure and services enabling an effective Machine Learning practice. You will help lead the charge by developing robust AIML-driven processes and extending scalable platforms to optimize financial operations in a dynamic environment. You will tackle unique challenges specific to Finance organizations - including SOX compliance, regulatory requirements, cost variance analysis, margin analysis, and scenario modeling - while driving automation and efficiency across end-to-end finance workflows. Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical.
Bachelors degree (CS, data science, engineering, or similar) with 7+ years experienceDemonstrated experience improving and extending existing AIML platforms and servicesHands-on ML platform experience: feature stores, registries, experiment tracking, and model servingStrong debugging and operational instinctsValues engineering standards; modularity, testing, version control, and code review CI/CD and MLOps experience strengthening existing pipelines; familiar with GitOps Production Kubernetes and cloud platform experience Working knowledge of ML algorithms; experience shipping generative AI and agentic solutions
Experience inheriting and modernizing legacy ML infrastructure without disrupting existing usersLLMOps familiarity - evaluation pipelines, RAG infrastructure, prompt versioning, and production guardrailsBackground in corporate finance, accounting, or supply chain; understanding of SOx, P&L, and close processesFront-end experience for extending internal tooling and platform UIs a plus

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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