Top 114 Lead machine learning engineer Jobs in Texas

Lead Machine Learning Engineer
Capital One —Plano, TX
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
14d
Senior Lead Data Engineer (Enterprise Platforms Technology)
Information Technology Senior Management Forum —Plano, TX
- $209,000 - $262,400 a year
- Email
- Azure
- Java
- Master's degree
- Health insurance
7d
Lead AI Engineer
Tavant Technologies, Inc. —Plano, TX
- $130,000 - $160,000 a year
- Full-time
- Computer Science
- Research
- Java
- Relocation assistance
- Health insurance
Quick Apply
Lead Data Engineer
Capital One —Plano, TX
- Email
- Azure
- Java
- Bachelor's degree
- Health insurance
Lead Research Engineer
Calabria Group —Frisco, TX
- $127,400 - $236,600 a year
- Hybrid work
- Computer science
- Azure
- Computer Science
- Commuter assistance
- Health savings account
Tech Lead, Corporate Engineering
Google —Austin, TX
- $207,000 - $301,000 a year
- Full-time
- Computer Science
- Engineering
- System design
Founding ML/Data Product Lead
Orum —Austin, TX
- $205,000 - $275,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Software development
- Senior level
- Paid holidays
- Disability insurance
2d
Lead Director, Software Engineering
CVS Health —Austin, TX
- $144,200 - $288,400 a year
- Full-time
- Computer Science
- System design
- HIPAA
- Health insurance
- Dental insurance
11d
Sr Lead Security Engineer
JPMorganChase —Plano, TX
- $171,000 - $260,000 a year
- Full-time
- 5 years
- System design
- Java
- Health insurance
- Tuition reimbursement
Lead Data Engineer
University of Texas at Austin —Austin, TX
- $125,000 - $143,712 a year
- Weekends as needed
- Remote
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
Staff Engineer, Digital Factory Lead (R5265)
SHIELD AI —Dallas, TX
- $140,000 - $210,000 a year
- Full-time
- Computer Science
- Engineering
- 8 years
8d
Lead DevOps Engineer
PDF Solutions —Dallas, TX
- $120,000 - $150,000 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
Lead Software Engineer - Cloud AWS Resiliency
JPMorganChase —Plano, TX
- Full-time
- 5 years
- System design
- Mentoring
- Health insurance
- Tuition reimbursement
Data Center GPU Performance Attainment Lead
Advanced Micro Devices, Inc —Austin, TX
- Hybrid work
- Computer Science
- Master's degree
- Analysis skills
Network Engineer, ENS Strategic Lead
Meta —Houston, TX
- $193,000 - $271,000 a year
- Computer science
- Computer Science
- 5 years
8h
Lead Engineer Data & AI Governance
Phillips 66 —Houston, TX
- $160,200 - $195,800 a year
- Full-time
- Azure
- Computer Science
- SQL
- Health savings account
- Health insurance
1d
Lead AI/ML Platform Engineer
Toyota —Plano, TX
- 3 years
- Mentoring
- US work authorization
- Health savings account
- Paid holidays
Lead Product Manager - Quoting & Distribution
Hippo Insurance —Dallas, TX
- $150,000 - $225,000 a year
- Hybrid work
- 7 years
- Analysis skills
- Product management
- Disability insurance
- Health insurance
1000000567.DATA ENGINEER LEAD.INFO TECH SERVICES
Dallas County —Texas
- Full-time
- Clean driving record
- 6 years
- Computer Science
Lead Product Manager, Data and AI Products
Mindbody —Austin, TX
- $150,000 - $205,000 a year
- Remote
- Product management
- Agile
- Senior level
Quick Apply

I want to receive the latest job alert for lead machine learning engineer in texas

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

lead machine learning engineer jobs near texas

Lead Machine Learning Engineer

Capital One -
Plano, TX

Apply Now

Job Details

Full-time
14 days ago

Benefits

Health insurance

Qualifications

System design
System design for system development
Bachelor's degree
Application design
Distributed computing

Full Job Description

Lead Machine Learning Engineer

As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale. You’ll lead the detailed technical design, development, and implementation of core agentic architectures and multi-agent workflows using emerging technologies. You’ll focus on system-level architectural design, develop and review complex models and application code, and ensure the high availability, performance, and security of our generative AI applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in generative and agentic machine learning engineering.

What you’ll do in the role:

Architect Agentic Platforms: Design, develop, and scale core agentic engines and multi-agent workflow solutions, enabling seamless composition of conversational and business automation workflows.
Drive AI Evaluation & Trust: Build and integrate scalable evaluation (Evals) and observability frameworks into solutions to ensure model predictability, performance monitoring, and mitigation of model risk.
Deliver High-Impact Use Cases: Partner with cross-functional product and business teams to deploy production AI solutions, including next-generation consumer AI experiences, intelligent recommendation engines, and advanced conversational assistants.
Enforce Enterprise Guardrails: Ensure all AI/ML applications strictly adhere to robust data privacy standards, regulatory postures, and framework auditability/explainability.
Translate Practical Research: Stay abreast of practical advancements in LLM optimization, retrieval-augmented generation (RAG), and multi-agent design patterns, judiciously applying these novel techniques to production systems.
Technical Leadership & Code Excellence: Provide technical direction, architectural oversight, and rigorous code reviews for engineering teams, fostering a culture of modern engineering excellence.

Basic Qualifications:

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java

Preferred Qualifications:

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience with GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex) and Vector Databases
3 years of experience building, scaling, and optimizing Large Language Model (LLM) or GenAI orchestration systems in production
2+ years of experience building automated evaluations (Evals) and observability pipelines for LLMs
3+ years of on-the-job experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
Experience deploying AI solutions within a strictly regulated environment, incorporating data privacy and model risk governance
Demonstrated ability to lead technical architecture design and provide deep technical guidance to engineering teams
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
ML industry impact through conference presentations, papers, blog posts, open-source contributions, or patents

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Apply Now

Refine Your Search

lead machine learning engineer jobs in texas

Lead Machine Learning Engineer

Senior Lead Data Engineer (Enterprise Platforms Technology)

Lead AI Engineer

Lead Data Engineer

Lead Research Engineer

Tech Lead, Corporate Engineering

Founding ML/Data Product Lead

Lead Director, Software Engineering

Sr Lead Security Engineer

Lead Data Engineer

Staff Engineer, Digital Factory Lead (R5265)

Lead DevOps Engineer

Lead Software Engineer - Cloud AWS Resiliency

Data Center GPU Performance Attainment Lead

Network Engineer, ENS Strategic Lead

Lead Engineer Data & AI Governance

Lead AI/ML Platform Engineer

Lead Product Manager - Quoting & Distribution

1000000567.DATA ENGINEER LEAD.INFO TECH SERVICES

Lead Product Manager, Data and AI Products

I want to receive the latest job alert for lead machine learning engineer in texas

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected