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Lead Machine Learning Engineer Jobs in Texas (NOW HIRING)

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning models and algorithms that will improve Confie's business outcome/customer experience Perform data cleansing, analysis, and feature engineering using Python Ability to work with ...

Pluralsight, LLC

Machine Learning Engineer

Westlake, TX · On-site

$160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests and goals, providing them with experiences tailored just to their needs, and ensure they are ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

PayPal

Machine Learning Engineer

Austin, TX · On-site

Support the lead of the team in performing oversight of high-impact statistical model and AI ... engineering essential * Advanced knowledge of statistical and machine learning models (e.g ...

Yum

Machine Learning Engineer II

Plano, TX · On-site

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Lead the team by performing at a high standard, setting the bar for how we build and operate our ...

Neuralink

Machine Learning Engineer

Austin, TX

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Lead the team by performing at a high standard, setting the bar for how we build and operate our ...

Yum! Brands

Machine Learning Engineer II

Plano, TX

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

Yum Brands

Machine Learning Engineer II

Plano, TX

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years Department: Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an ...

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All JobsLead Machine Learning Engineer JobsLead Machine Learning Engineer Jobs in Texas

Lead Machine Learning Engineer information

See Texas salary details

$39.6K

$115.3K

$168.2K

How much do lead machine learning engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for lead machine learning engineer in Texas is $115,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $125,800.00 per year, depending on experience, location, and employer.

How much does a lead machine learning engineer make?

A lead machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and industry. Senior roles often include responsibilities such as designing models, leading teams, and working with advanced tools like TensorFlow or PyTorch.

How does a Lead Machine Learning Engineer typically collaborate with cross-functional teams during a project?

As a Lead Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, product managers, and sometimes domain experts to drive projects from conception to deployment. You are often responsible for translating business requirements into scalable machine learning solutions, coordinating model development, and ensuring integration with existing systems. Clear communication and the ability to explain complex technical concepts to non-technical stakeholders are essential, as you may need to guide team members and align everyone's efforts toward project goals. This collaborative environment fosters both technical and leadership growth.

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

To thrive as a Lead Machine Learning Engineer, you need advanced expertise in machine learning algorithms, data modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is essential, along with relevant certifications. Strong leadership, collaboration, and problem-solving skills help you manage teams and communicate complex technical ideas effectively. These skills and qualities are crucial for driving successful AI initiatives, ensuring project delivery, and fostering innovation within cross-functional teams.

Will MLE be replaced by AI?

Lead Machine Learning Engineers (MLEs) design, develop, and oversee AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, tuning, and maintaining complex models. AI tools support MLEs but do not replace the need for human expertise in understanding data, ethical considerations, and system deployment. The role evolves with advancements in AI, emphasizing skills in model development, programming, and problem-solving.

What does a Lead Machine Learning Engineer do?

A Lead Machine Learning Engineer oversees the design, development, and deployment of machine learning models within an organization. They guide a team of engineers and data scientists, ensuring best practices in model architecture, data management, and production pipelines. Their responsibilities often include collaborating with stakeholders, mentoring junior team members, and staying up-to-date with the latest advancements in machine learning. Lead ML Engineers also play a key role in translating business objectives into technical solutions and ensuring scalability and reliability of AI systems.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as Lead Machine Learning Engineer or senior AI executive roles that offer compensation in this range, including salary, bonuses, and stock options. These roles usually require extensive experience, advanced skills in machine learning, deep learning, and data science, and often involve leadership responsibilities in developing AI strategies and solutions.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.
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What job categories do people searching Lead Machine Learning Engineer jobs in Texas look for? The top searched job categories for Lead Machine Learning Engineer jobs in Texas are:
Lead Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Confie

Addison, TX • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Pay Range:
  • $110000 - $130000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models
Essential Duties & Responsibilities
Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
Utilize LLMs and Generative AI to provide software automation capability integrations
Build and operationalize Retrieval Augmented Generation (RAG) frameworks
Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
Perform data cleansing, analysis, and feature engineering using Python
Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
On call support
Qualifications and Education Requirements
Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
Proficient SQL skills and experience working with large data sets (big data, IoT data)
Proficient with programming and modeling using Python
Knowledge of modeling in pre-training & fine tuning foundation LLM models
Knowledge of LangChain and sentence transformer frameworks
Knowledge of ChatGPT4 (or comparable models)
Experience applying current machine learning techniques
Knowledge of evolving data science concepts and best practices
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008

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