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Mid Level Machine Learning Teaching Jobs in Santa Clara, CA

LLNL

Machine Learning Researcher

Livermore, CA · On-site

$9.8K/wk

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of ... In Addition, At SES.5 Level * Provide scientific and technical direction for large projects and ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of ... In Addition, At SES.5 Level * Provide scientific and technical direction for large projects and ...

LLNL

Machine Learning Researcher

Livermore, CA · On-site

Lead mid- to large-sized research teams in applied machine learning and data analysis in support of ... In Addition, At SES.5 Level * Provide scientific and technical direction for large projects and ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

This position will be filled at either level based on knowledge and related experience as assessed ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

This position will be filled at either level based on knowledge and related experience as assessed ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

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All JobsMid Level Machine Learning Teaching JobsMid Level Machine Learning Teaching Jobs in Santa Clara, CA

Mid Level Machine Learning Teaching information

See Santa Clara, CA salary details

$37K

$151.2K

$227.3K

How much do mid level machine learning teaching jobs pay per year?

As of Sep 5, 2026, the average yearly pay for mid level machine learning teaching in Santa Clara, CA is $151,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $182,000.00 per year, depending on experience, location, and employer.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

What are the most commonly searched types of Machine Learning Teaching jobs in Santa Clara, CA?

The most popular types of Machine Learning Teaching jobs in Santa Clara, CA are:

What are popular job titles related to Mid Level Machine Learning Teaching jobs in Santa Clara, CA?

For Mid Level Machine Learning Teaching jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Mid Level Machine Learning Teaching jobs in Santa Clara, CA look for?

The top searched job categories for Mid Level Machine Learning Teaching jobs in Santa Clara, CA are:

Mid Level Machine Learning Teaching jobs near you
Infographic showing various Mid Level Machine Learning Teaching job openings in Santa Clara, CA as of June 2026, with employment types broken down into 41% Full Time, 54% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 79% Physical, and 21% Remote job distribution, with an average salary of $151,231 per year, or $72.7 per hour.

Mid-Level Machine Learning Engineer

TetraMem - Accelerate The World

San Jose, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
TetraMem is a company focused on accelerating the world through innovative technology, and they are seeking a Mid-Level Machine Learning Engineer to develop and optimize machine learning models for edge AI applications. The role involves collaborating with hardware and software teams, providing mentorship, and researching state-of-the-art ML techniques to enhance model efficiency.
Responsibilities:
• Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
• Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
• Work closely with hardware and software teams to integrate ML models into production systems.
• Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
• Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
• Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
• Provide technical leadership and mentorship to junior engineers.
• Publish research findings, present at conferences, and contribute to open-source projects when applicable.
Qualifications:
Required:
• 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields.
• Strong experience in machine learning, with a focus on edge AI and lightweight model deployment.
• Expertise in ML frameworks such as PyTorch, TensorFlow, JAX.
• Proficiency in programming languages such as C/C++, Python, and experience with ML model optimization.
• Ability to work independently and collaboratively in a fast-paced startup environment.
• Ability to provide mentorship, technical guidance, and career development support to junior engineers and interns.
Preferred:
• Understanding of ML compiler and runtime design.
• Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
• Familiarity with hardware acceleration techniques.
• Experience in embedded system development.
Company:
TetraMem is developing cutting-edge analog computing solutions for AI applications, offering exceptional performance with ultra-low power consumption. Founded in 2018, the company is headquartered in Newark, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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