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Machine Learning Engineer Quantization Jobs in San Marcos, TX

9 Mothers

Machine Learning Engineer, Senior

Austin, TX · On-site

$103K - $142K/yr

The company is seeking a Senior Machine Learning Engineer to design, train, and maintain models for ... quantization-aware training and knowledge distillation. • Prior experience in defense or other ...

webAI

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector ... quantization, pruning, distillation, and hardware specific acceleration. • Build and maintain ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

You will lead core product initiatives across on-device inference optimization, quantization, RAG ... Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch.

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

webAI Inc

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused ... Implement model optimization techniques such as quantization, pruning, distillation, and hardware ...

Apple

Machine Learning Engineer

Austin, TX · On-site

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 ...

Avride

Machine Learning Engineer

Austin, TX

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

Q2

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

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

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in San Marcos, TX

Machine Learning Engineer Quantization information

See San Marcos, TX salary details

$28.5K

$116.6K

$175.2K

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

As of Jul 13, 2026, the average yearly pay for machine learning engineer quantization in San Marcos, TX is $116,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $140,300.00 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 San Marcos, TX? For Machine Learning Engineer Quantization jobs in San Marcos, TX, the most frequently searched job titles are:
What cities near San Marcos, TX are hiring for Machine Learning Engineer Quantization jobs? Cities near San Marcos, TX with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you

Machine Learning Engineer, Senior

9 Mothers

Austin, TX • On-site

$103K - $142K/yr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
9 Mothers Defense develops AI-enabled systems to counter unmanned aerial threats. The company is seeking a Senior Machine Learning Engineer to design, train, and maintain models for their counter-sUAS perception stack, focusing on model research and dataset engineering.
Responsibilities:
• Design, train, and iterate on machine learning models for detection, classification, and tracking of aerial targets.
• Own the dataset pipeline end-to-end, including data collection, labeling, curation, augmentation, synthetic data generation, and closed-loop retraining based on field performance.
• Build and maintain training infrastructure, including experiment tracking, compute orchestration, and evaluation harnesses.
• Define metrics and evaluation methodologies that correlate to real-world operational performance.
• Support deployment of trained models into the production perception stack, and address discrepancies between training and deployed performance.
• Analyze field data to identify and address model failure modes.
Qualifications:
Required:
• Demonstrated experience shipping machine learning systems into production under real-world operational requirements.
• Fluency in PyTorch or JAX, including full training loop development beyond fine-tuning off-the-shelf models.
• Strong software engineering skills beyond model development, including ownership of training infrastructure.
• Proficiency in Python; working knowledge of C++ or Rust at the training-to-deployment boundary.
• U.S. citizenship and ability to pass a background check.
Preferred:
• Experience with detection or tracking of small, fast, or adversarially perturbed targets.
• Synthetic data generation and sim-to-real methodologies.
• Experience training models for edge deployment, including quantization-aware training and knowledge distillation.
• Prior experience in defense or other safety-critical machine learning applications.
• Active security clearance, or eligibility to obtain one.
• Passion for building robots or engineering projects as a hobby
Company:
9 Mothers is a defense tech company that offers an AI-powered C-sUAS point defense turret designed to engage multiple fast-moving drones. Founded in 2024, the company is headquartered in Austin, USA, with a team of 11-50 employees. The company is currently Early Stage.

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