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Machine Learning Engineer Quantization Jobs in Houston, TX

Varsity Tutors

Machine Learning Tutor

Sugar Land, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Pearland, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Missouri City, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

SDH Systems

AI Lead 11+ years of exp

Houston, TX · On-site

$133K - $164K/yr

Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions. * Proficiency in AI platforms and tools such as Azure OpenAI ...

Prodware Solutions

AI Program Manager

Houston, TX · Hybrid

PMP, CSM, or AI certifications (e.g., Google Professional Machine Learning Engineer) preferred. * 5+ years in program/project management, with 3+ years focused on AI/ML, cloud platforms (AWS, Azure ...

Deloitte

AI Solutions Architect

Houston, TX

$60.25 - $79.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Mariana Minerals

Sr. Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The role involves working across various data domains and collaborating with machine learning engineers to enhance production processes. Responsibilities : • Work across domains--for example, all ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Houston, TX

Machine Learning Engineer Quantization information

See Houston, TX salary details

$30.1K

$123K

$184.8K

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

As of Jun 20, 2026, the average yearly pay for machine learning engineer quantization in Houston, TX is $122,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

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

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What does a Machine Learning Engineer Quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What are popular job titles related to Machine Learning Engineer Quantization jobs in Houston, TX? For Machine Learning Engineer Quantization jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Houston, TX look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Engineer Quantization jobs? Cities near Houston, TX with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Machine Learning (ML) Engineer - HP Digital Products Team

Machine Learning (ML) Engineer - HP Digital Products Team

HP Development Company, L.P.

Spring, TX • On-site

$130K - $205K/yr

Other

Medical, Dental, Vision, Life, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning (ML) Engineer - HP Digital Products Team
Description -
HP is the world's leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.
We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works. At HP, the future is yours to create!
The Digital Products team is responsible for the design, build, and deployment of world class AI enabled products and solutions that empower a future ready workforce, drive efficiencies via automation and support implementation of newer business operating models for HP's business. With a focus on Innovation, the group drives differentiation with architectural vision to consolidate, accelerate and simplify new technology adoption and deliver high value solutions that solve the pain points of all its stakeholders.
Role Overview:
We are seeking a Machine Learning Engineer to design, develop, and deploy AI/ML models that power innovative digital products. You will collaborate closely with AI Solutions Architects, Domain Solution Architects, Full Stack Engineers, and Product teams to ensure models are production-ready, scalable, and aligned with business objectives.
Key Responsibilities:

  • Design, implement, and optimize ML models for production systems, ensuring accuracy, efficiency, and scalability.
  • Collaborate with Full Stack Engineers and AI Solutions Architects to integrate ML models into applications and platforms.
  • Develop and maintain data pipelines and workflows to support training, testing, and deployment of ML models.
  • Evaluate and implement state-of-the-art ML algorithms and frameworks suitable for domain-specific problems.
  • Monitor, troubleshoot, and improve model performance in production.
  • Work with Product Managers and Data Analysts to translate business requirements into ML solutions.
  • Contribute to architecture discussions, best practices, and reusable ML frameworks across the organization.
  • Stay up-to-date with emerging trends and technologies in AI and ML to bring innovation into production solutions.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
  • 3-7 years of experience in ML/AI engineering, including model development and deployment.
  • Proficiency in Python, R, or similar languages, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with cloud platforms (AWS, Azure, GCP) and ML deployment pipelines (MLOps).
  • Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Ability to work in cross-functional agile teams and communicate technical concepts effectively.
Preferred:
  • Experience in deploying ML models in production at scale.
  • Familiarity with containerization (Docker/Kubernetes) and microservices for ML applications.
  • Prior experience in product-focused or squad-based digital engineering teams.
  • Knowledge of domain-specific applications of AI (healthcare, finance, retail, etc.).
Why Join Us:
You will play a key role in building intelligent, AI-driven products that solve real-world problems. This role offers the opportunity to collaborate across product, engineering, and design teams while working at the forefront of AI and machine learning innovation.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Pay and Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview
  • https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
No
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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