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Machine Learning Engineer Quantization Jobs in South Carolina

Tenstorrent

Staff Forward Deployed Engineer

North, SC · On-site +1

$100K - $500K/yr

Applied Engineer, Machine Learning Engineer, MLOps Engineer, Platform Engineer, Infrastructure Engineer, Site Reliability Engineer, Field Application Engineer). * Experience turning ambiguous ...

Zeus Company, Inc.

AI Engineer

Orangeburg, SC · On-site

The AI Engineer will work closely with data scientists, data engineering, enterprise architecture ... Collaborate with data scientists and business stakeholders to operationalize machine learning and ...

Pwc

CTIO AI Engineering Manager

Columbia, SC

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

CTIO AI Engineering Manager

Spartanburg, SC · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Manager

Columbia, SC

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Manager

Spartanburg, SC · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Senior Associate

Columbia, SC · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Senior Associate

Spartanburg, SC · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Synectic Solutions Inc

$118K - $130K/yr

This role combines advanced data science, artificial intelligence, machine learning, and ... engineers, logisticians, and leadership. * Ensure all data management and analysis activities ...

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC

$48.56 - $77.69/hr

  • Medical

  • Dental

  • Vision

  • PTO

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$101.32 - $161.60/hr

  • Medical

  • Dental

  • Vision

  • PTO

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

  • Medical

  • Dental

  • Vision

  • PTO

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

  • Medical

  • Dental

  • Vision

  • PTO

... machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO ...

Nordsonhcm

Software Engineer II

Clinton, SC · On-site

$92K - $126K/yr

The Software Engineer II designs, develops, tests, and documents software for embedded systems and ... Experience with machine learning, data analytics, or artificial intelligence applications.

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in South Carolina

Machine Learning Engineer Quantization information

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 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 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 South Carolina?

For Machine Learning Engineer Quantization jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Quantization jobs in South Carolina look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in South Carolina are:

What cities in South Carolina are hiring for Machine Learning Engineer Quantization jobs?

Cities in South Carolina with the most Machine Learning Engineer Quantization job openings:

Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Staff Forward Deployed Engineer

Tenstorrent

North, SC • On-site, Remote

$100K - $500K/yr

Full-time

Posted 12 days ago

Job description

We're looking for a Forward Deployed Engineer who's excited to build with the engineers using the AI computers Tenstorrent makes. You will create continuity between customers, engineering, and AI inference service products. This is an engineering role first: you contribute production code, operate deployments, and you can explain a trade-off to customer leadership as clearly as to core engineering teams. This is a high-autonomy role with direct customer impact.

This role is remote, based out of North America, with preference near one of our main hubs: Santa Clara, CA; Austin, TX; or Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

  • You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don't treat hardware as a black box.
  • You're an early adopter of AI for your work from coding to building agentic workflows that multiply your impact.
  • You work directly with customers to understand their challenges and provide effective solutions.
  • You are comfortable debugging across the full inference stack: from failing requests, through the serving layer, down to OOMs or kernel dispatch if need be.
  • You bring feedback in the form of pull requests, reproducible code, benchmarks, and telemetry data.

What We Need

  • Strong software engineering skills with 5+ years of relevant technical experience (e.g. Applied Engineer, Machine Learning Engineer, MLOps Engineer, Platform Engineer, Infrastructure Engineer, Site Reliability Engineer, Field Application Engineer).
  • Experience turning ambiguous customer requirements or issues into verifiable acceptance criteria.
  • Kubernetes and Helm experience at multi-node, HPC, or AI cluster scale.
  • Experience with observability and infrastructure automation, e.g. Prometheus, Grafana, OpenTelemetry.
  • Experience with LLM inference serving engines and technologies, e.g. vLLM, SGLang, Mooncake, NIM, Dynamo, LMCache.

What You Will Learn

  • Where co-design of AI hardware and software translates into unique latency and throughput performance.
  • How to scale disaggregated inference services on Kubernetes while balancing performance, reliability, and tactical tradeoffs.
  • What makes enterprise AI deployments successful: from technical requirements through software delivery, cluster-scale validation, and production ownership.
  • Why customer insights from the field shape the best products.
  • How to build agentic workflows for asymmetric impact.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

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