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Mid Level Machine Learning Teaching Jobs (NOW HIRING)

We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional ... This role is intentionally scoped for a mid-level engineer: someone with enough experience to work ...

Machinist (Entry/Mid-Level)

Peabody, MA ยท On-site

$22.75 - $31/hr

Role Summary Specter Aerospace is seeking an Entry/Mid-level machinist to produce components for ... They will machine a high-mix, low-volume of parts in a prototyping environment. The individual will ...

NY ยท On-site

Level of English enough for efficient technical and business communication with native speakers Nice to have * Experience in financial machine learning, quantitative finance, or trading systems ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$120K - $180K/yr

You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others * You know the ins and outs of Python, especially as it ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others * You know the ins and outs of Python, especially as it ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others * You know the ins and outs of Python, especially as it ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$120K - $180K/yr

You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others * You know the ins and outs of Python, especially as it ...

Design tools and interfaces for interactive machine learning and teaching. * Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in ...

Showing results 41-60

Mid Level Machine Learning Teaching information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Sep 11, 2026, the average yearly pay for mid level machine learning teaching in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 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.

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Infographic showing various Mid Level Machine Learning Teaching job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Python Software Engineer (Jr-Mid Level)

Fremont, CA โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

Overview:
Python Software Engineer (Jr-Mid Level)
6 months, with potential extension or conversion
Fremont, CA - 5 days onsite
Role Summary
We are seeking a junior to mid-level Python Software Engineer (3-5 years experience) to design, build, and optimize data-intensive applications and machine learning solutions. The ideal candidate will come from fast-paced technology companies (Amazon, Google, Microsoft, PayPal, Uber, Airbnb, Doordash, Expedia, etc.) and have a concise resume highlighting hands-on coding contributions, debugging, troubleshooting, and distributed systems experience.
This role requires strong engineering fundamentals, recent hands-on development, and the ability to clearly articulate technical contributions.
Responsibilities
  • Design, develop, and deploy LLM-powered and AI-driven applications.
  • Build scalable, high-performance solutions using Python and modern engineering practices.
  • Develop and maintain REST APIs and microservices supporting critical business operations.
  • Work with diverse data sources (text, voice, image, structured datasets).
  • Collaborate with cross-functional teams to identify opportunities for automation and optimization.
  • Own production systems: monitoring, troubleshooting, and continuous improvement.
  • Translate ambiguous business requirements into end-to-end technical solutions.
  • Write clean, maintainable, and reusable code following agile practices.
Must-Have Requirements
  • 3-5 years of professional software engineering experience.
  • Bachelor's or Master's in Computer Science, Engineering, or equivalent practical experience.
  • Strong hands-on Python experience for data-intensive and high-performance applications.
  • Experience building and deploying production machine learning solutions.
  • Demonstrated work with Large Language Models (LLMs) and Generative AI.
  • Experience developing REST APIs and microservices.
  • Proficiency with MySQL and Redis.
  • Familiarity with at least one deep learning framework (PyTorch, TensorFlow, JAX).
  • Strong fundamentals in statistics, data analysis, model evaluation, and performance optimization.
  • Clear examples of debugging, troubleshooting, and distributed systems problem-solving.
Nice-to-Have Qualifications
  • Experience with recommender systems, operations research, or advanced AI/ML solutions.
  • Building and supporting enterprise-scale ML platforms.
  • Working with large, complex datasets in production environments.
  • Knowledge of C# and ASP.NET (secondary skill).
  • Prior experience automating compliance frameworks and generating audit evidence.

Skills:
Python,machine learning,llm