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Director Machine Learning Jobs in Texas (NOW HIRING)

ADT Security Services

Director AI ML

Irving, TX · Remote

Leveraging deep expertise in statistical modeling, machine learning, and scalable AI, the Director will translate ADT's vast data assets-from smart home IoT telemetry to customer touchpoints-into ...

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How much do director machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director machine learning in Texas is $85,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $98,800.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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 Director Machine Learning jobs in Texas?

For Director Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Texas look for?

The top searched job categories for Director Machine Learning jobs in Texas are:

What cities in Texas are hiring for Director Machine Learning jobs?

Cities in Texas with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $85,649 per year, or $41.2 per hour.

Machine Learning Engineer

Samsung Electronics Co., Ltd.

Taylor, TX • On-site

$90K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

129th of 161 rated electronics manufacturers

Job description

About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.
Come innovate with us!
Position Summary
As a Machine Learning Engineer at Samsung Austin Semiconductor, you will build and maintain the model pipelines for our anomaly detection and root cause analysis systems. You will work heavily with PySpark to process large-scale time-series and operational data, prepare training datasets, and manage the full model deployment lifecycle. Your day-to-day will involve designing robust ML pipelines, developing and validating models, and optimizing PySpark jobs for large-scale processing. You will bridge the gap between model development and production, contributing to model tuning while taking ownership of the scalable systems that bring these models to life.
The team operates in a collaborative, sprint-driven environment where you will have the autonomy to design technical approaches, test new tools, and iterate quickly based on feedback. Prior semiconductor experience is helpful but not required; you will learn the domain through hands-on projects and direct support from the team.
Role and Responsibilities
Here's What You'll Be Responsible For:
  • Build PySpark workflows that ingest, clean, and transform high-volume manufacturing data, converting raw signals into structured datasets ready for training and inference.
  • Optimize Spark jobs by tuning partition strategies, managing executor memory, minimizing shuffle operations, and handling skewed joins to reduce runtime and cluster resource usage.
  • Design and maintain end-to-end ML pipelines that automate feature calculation, model training, validation, and deployment, ensuring each run is reproducible and auditable.
  • Implement and tune machine learning models for anomaly detection and root cause analysis.
  • Manage the model lifecycle in production: track versions, store artifacts securely, trigger automated retraining, and execute rollback procedures when performance degrades.
  • Monitor pipeline execution times, data quality checks, and model metrics (accuracy, drift, throughput), building alerting rules to catch failures or degradation early.

Skills and Qualifications
Here's what you'll need:
Required
  • Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or a related quantitative field.
  • 3-5+ years of professional experience building and maintaining machine learning systems.
  • Strong proficiency in PySpark and distributed data processing, with experience optimizing jobs for speed and memory.
  • Hands-on experience with Python ML libraries (scikit-learn, TensorFlow, PyTorch, or XGBoost) for model training and evaluation.
  • Practical knowledge of MLOps practices, including pipeline orchestration, model versioning, experiment tracking, and deployment.
  • Experience setting up monitoring and alerting for both data pipelines and deployed models.

Preferred
  • Experience setting up model registries, automated retraining triggers, and rollback procedures to keep production models reliable.
  • Experience writing automated tests and validation checks for data pipelines and model outputs to catch errors before deployment.
  • Familiarity with on-prem or private cloud infrastructure, including cluster management and secure artifact storage.

The current base salary range for this role is between $90,000 - $174,500. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.
Total Rewards
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.
We offer a comprehensive benefits package, including:
  • Medical, dental, and vision insurance
  • Life insurance and 401(k) matching with immediate vesting
  • Onsite café(s) and workout facilities
  • Paid maternity and paternity leave
  • Paid time off (PTO) + 2 personal holidays and 10 regular holidays
  • Wellness incentives and MORE

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.
All positions at Samsung Austin Semiconductor are full-time on-site.
U.S. Export Control Compliance
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.
Trade Secrets Notice
By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
* Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

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