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Mid Level Machine Learning Teaching Jobs (NOW HIRING)

LVT

Machine Learning Engineer

Seattle, WA · On-site

$150.50K - $208K/yr

MS is preferred, and PhD is a plus. * 3+ years of professional software development experience, including 2+ years creating and shipping production-level Machine Learning solutions. * 1+ years of ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... This role is intentionally scoped for a mid-level engineer: someone with enough experience to work ...

S&P Global

Senior Machine Learning Engineer

Union City, IN · On-site +1

$95.20K - $130.70K/yr

We are seeking a mid-to-senior level Machine Learning Engineer who can help elevate and streamline our ML development lifecycle, setting a high bar for excellence in modeling, deployment, and ...

Apple

Machine Learning Engineer - MLR

Cupertino, CA · On-site

$181.10K - $318.40K/yr

We're looking for passionate mid-level and junior researchers to work on ambitious curiosity driven ... Demonstrated expertise in Machine Learning or Computer Vision; Publication record in relevant ...

Spgi

Senior Machine Learning Engineer

Union City, IN · On-site +1

$95.20K - $130.70K/yr

We are seeking a mid-to-senior level Machine Learning Engineer who can help elevate and streamline our ML development lifecycle, setting a high bar for excellence in modeling, deployment, and ...

USAA

Model Validator (Mid-Level) - Fraud/AML

Phoenix, AZ · Hybrid

$93.77K - $179.24K/yr

Machine Learning. Business context knowledge in operational and support functions of Banking and/or Insurance as well as associated modeling and analytics knowledge. What sets you apart: * US ...

New

Hive

Machine Learning Engineer

Seattle, WA

$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 ...

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Mid Level Machine Learning Teaching information

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$31.5K

$128.8K

$193.5K

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

As of May 29, 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.

More about Mid Level Machine Learning Teaching jobs
What cities are hiring for Mid Level Machine Learning Teaching jobs? Cities with the most Mid Level Machine Learning Teaching job openings:
What are the most commonly searched types of Machine Learning Teaching jobs? The most popular types of Machine Learning Teaching jobs are:
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What job categories do people searching Mid Level Machine Learning Teaching jobs look for? The top searched job categories for Mid Level Machine Learning Teaching jobs are:
Mid Level Machine Learning Teaching jobs near you
Infographic showing various Mid Level Machine Learning Teaching job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 39% Full Time, 51% Part Time, 3% Temporary, 1% Contract, and 3% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

LVT

Seattle, WA • On-site

$150.50K - $208K/yr

Other

Posted 27 days ago

Job description

About This Role

As a Machine Learning Engineer, you will play a critical role on a team of engineers that drive new CV, LLM, VLM, and Agentic AI development for LiveView Technologies. You will be responsible for designing and implementing ML systems for security and monitoring. Department leads will need your help to understand which problems are appropriate for ML, and to select the appropriate machine learning models for our business needs. Your recommendations will help guide us in design decisions that add significant value to the company. You will have an opportunity to impact the success of the business with ML, and in other areas of software engineering.


Job Responsibilities
  • Lead, design, implement, and improve ML and AI solutions leveraging CV, LLM's, VLM's, and Agentic AI
  • Explore and research new and emerging ML technologies for the company
  • Share insight into which types of problems are most appropriate for machine learning
  • Provide guidance on distributed training and data collection
  • Create solutions that are optimized to combine Edge IOT devices and Cloud Services
  • Work in a multidisciplinary team
  • Facilitate a culture of innovation, transparency, and clear communication
  • Write and review technical documents, including requirements and design documents

Qualifications

  • BS in computer science, electrical and computer engineering, or related field. MS is preferred, and PhD is a plus.
  • 3+ years of professional software development experience, including 2+ years creating and shipping production-level Machine Learning solutions.
  • 1+ years of experience specifically training and deploying solutions leveraging CV and/or Language Models (LLMs) or Vision-Language Models (VLMs). 
  • Expert proficiency in one or more programming languages (e.g., Python, C/C++) and familiarity with open-source technologies.
  • Deep understanding and practical experience with supervised, unsupervised, and reinforcement learning methods for prediction and optimization.
  • Experience with ML frameworks such as PyTorch, including the ability to select the optimal model for business applications.
  • Experience with Neural Network and Transformer optimization (e.g., quantization, compression, distillation).
  • Solid experience with applied data science methods, data structures, and algorithms.
  • Expertise in ML training data collection, wrangling, and optimizing/tuning high-dimensionality data.
  • Experience with Linux/Unix environments and source control systems (Git).
  • Familiarity with cloud-based development platforms (e.g., AWS, Azure).
  • Ability to work independently on ambiguous problems while maintaining a highly collaborative, team-player attitude.
  • Excellent written and verbal communication skills for technical and cross-functional teams.

Desired

  • Experience with Agentic AI frameworks and protocols: Langchain, CrewAI, Microsoft Agent Framework, Anthropic's MCP, Google's A2A, etc.
  • Experience with reinforcement learning methods for prediction and optimization.
  • Experience with Container ecosystems (e.g., Docker, Kubernetes).
  • Experience in areas like search, ranking, computer vision, recommendation systems, or multi-modal/multi-sensor fusion.
  • Evidence of thought leadership (e.g., patents, published papers) and experience presenting/visualizing results to business audiences.

The beginning annual salary range for this role is $150,500.00 - $208,000.00 USD and is determined by location, job-related experience, and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.

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