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Mid Level Machine Learning Teaching Jobs (NOW HIRING)

Senior Machine Learning Scientist

Austin, TX

$97.60K - $124.40K/yr

Provides technical leadership and mentorship to junior and mid-level researchers. * Operational ... Contributes machine learning expertise to drive industry impact. * Strategic Planning and ...

Senior Machine Learning Scientist

Austin, TX · On-site

$97.60K - $124.40K/yr

Provides technical leadership and mentorship to junior and mid-level researchers. * Operational ... Contributes machine learning expertise to drive industry impact. * Strategic Planning and ...

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems. The ...

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems. The ...

Data Modeler Mid-Level 112-012

Chantilly, VA · On-site

$56 - $72.75/hr

Mid-level Data Modelers conduct data modeling activities in support of business stakeholders ... machine learning, etc.) * Supports developing models of NGAs architectures, requirements, and ...

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Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Extensive experience in building and managing production-level machine learning systems. * Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies. * Experience in ...

This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems. The ...

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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 May 30, 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:
What states have the most Mid Level Machine Learning Teaching jobs? States with the most job openings for Mid Level Machine Learning Teaching jobs include:
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.
Senior Machine Learning Scientist

Senior Machine Learning Scientist

DISCO

Austin, TX

$97.60K - $124.40K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Your Impact

The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and methodologies. They are a seasoned researcher with a track record of impactful contributions, strategic thinking, and effective collaboration. They play a pivotal role in shaping the direction of our machine learning research efforts.

What You'll Do
  • Research Leadership and Innovation: Leads and contributes to impactful machine learning research projects. Drives innovation in the development of advanced algorithms and methodologies. Provides technical leadership and mentorship to junior and mid-level researchers. 
  • Operational Excellence and Program Management: Optimizes research processes, workflows, and resource allocation.Manages research programs, overseeing multiple projects and teams. Ensures the successful execution of complex research initiatives. 
  • Collaboration and Industry Impact: Collaborates effectively with cross-functional teams and external partners. Engages with industry stakeholders to address real-world challenges. Contributes machine learning expertise to drive industry impact. 
  • Strategic Planning and Contribution to Research Community: Contributes to the strategic planning of the organization's research initiatives. Actively participates in the broader research community, including conference involvement. Fosters global collaborations and partnerships to enhance research outcomes.
  • Mentorship and Team Development: Mentors and provides guidance to junior and mid-level researchers. Actively contributes to the professional development of research teams. Fosters a collaborative and innovative team culture.
Who You Are
  • 6 to 8+ years of relevant experience in machine learning research. 
  • Master's, PhD or equivalent research experience in the areas of Computer Science, Machine Learning, Statistics or a related discipline
  • Proven track record of impactful research projects and leadership.
  • Proven experience in leading or significantly contributing to complex and large-scale research projects.
  • Demonstrated ability to oversee project timelines, manage resources effectively, and ensure successful research outcomes.
  • Expertise in strategic planning and execution of an organization's overarching machine learning research agenda.
  • Contribution to the development and implementation of long-term research strategies.
  • Extensive experience in mentoring and providing guidance to junior and mid-level researchers.
  • Leadership in managing and leading research teams, fostering a culture of knowledge-sharing and innovation.
  • Continued innovation in the development of novel algorithms, methodologies, or applications. 
  • Track record of contributing groundbreaking ideas to the field of machine learning. 
  • Substantial experience in applying machine learning research to real-world industry problems. 
  • A deep understanding of the practical implications and challenges of deploying machine learning models in real-world scenarios.
Even Better If You Have...
  • Experience in operational leadership, optimizing research processes.
  • Exposure to program management at a project or team level.

Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.


Perks of DISCO 
  • Open, inclusive, and fun environment
  • Benefits, including medical, dental and vision insurance, as well as 401(k) 
  • Competitive salary plus RSUs
  • Flexible PTO 
  • Opportunity to be a part of a company that is revolutionizing the legal industry
  • Growth opportunities throughout the company