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Machine Learning Mentor Jobs (NOW HIRING)

Diamondback Energy, Inc.

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Experience mentoring or training data scientists on engineering best practices * Ability to operate ...

Corning

Machine Learning Modeling Engineer

Corning, NY · On-site

... mentor new engineers and scientists. • Support multiple projects and collaborate across teams to deliver effective and scalable analytics and machine learning solutions. Experiences/Education ...

Bland

Machine Learning Intern

San Francisco, CA · On-site

Machine Learning Research Intern, Audio As a Research Intern at Bland, you will own a focused ... Mentorship from researchers working on frontier voice AI * Every tool you need to succeed

Q2 India

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you'll build and operate the production systems behind fraud ... Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health ...

Canals

Machine Learning Engineer

Denver, CO · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best ...

Vizient

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156K - $290K/yr

Team Development and Leadership Lead and mentor a multidisciplinary team of data scientists, ML ... Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression ...

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Machine Learning Mentor information

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$25.5K

$42.6K

$88K

How much do machine learning mentor jobs pay per year?

As of Sep 13, 2026, the average yearly pay for machine learning mentor in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a machine learning mentor?

Machine Learning Mentors are experienced professionals who guide and support individuals learning about machine learning concepts, tools, and workflows. They provide personalized advice, help solve technical challenges, and offer career guidance in the field. Mentors can work in educational institutions, bootcamps, online platforms, or as independent consultants, tailoring their support to each learner’s needs. Their goal is to accelerate a learner’s progress and help them build practical skills for real-world applications.

What are the key skills and qualifications needed to thrive as a machine learning mentor?

To thrive as a Machine Learning Mentor, you need a deep understanding of machine learning algorithms, data analysis, and programming languages like Python, often supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter notebooks, and experience with cloud platforms or version control systems is typical. Outstanding communication, patience, and the ability to adapt your teaching style are crucial soft skills for effectively guiding and inspiring mentees. These skills enable mentors to convey complex concepts clearly, foster growth in learners, and ensure successful knowledge transfer.

What are the most common challenges faced by machine learning mentors when supporting learners, and how can these be navigated?

Machine Learning Mentors often encounter challenges such as addressing diverse learning backgrounds, keeping up with rapidly evolving technologies, and helping mentees bridge the gap between theory and practical application. Navigating these challenges involves tailoring guidance to individual learning styles, continuously updating personal knowledge, and providing real-world project examples. Effective communication and fostering a supportive learning environment are also key to ensuring mentee success and engagement.

What is the difference between Machine Learning Mentor vs Data Scientist?

AspectMachine Learning MentorData Scientist
Required CredentialsTypically requires experience in machine learning, teaching skills, and certifications in AI/MLRequires degrees in data science, statistics, or related fields; certifications are common
Work EnvironmentOften works in educational, training, or corporate mentorship settingsWorks in data analysis, modeling, and research within organizations
Employer & Industry UsageFound in educational institutions, online platforms, and corporate training programsEmployed in tech companies, finance, healthcare, and research institutions
Common Search & Comparison IntentPeople compare to understand mentorship roles in ML educationPeople compare to understand data analysis and modeling roles

While both roles involve machine learning, a Machine Learning Mentor primarily focuses on teaching, guiding, and mentoring others in ML concepts and techniques. In contrast, a Data Scientist applies ML methods to analyze data, build models, and generate insights within organizations.

What cities are hiring for Machine Learning Mentor jobs?

Cities with the most Machine Learning Mentor job openings:

What states have the most Machine Learning Mentor jobs?

States with the most job openings for Machine Learning Mentor jobs include:

What are popular job titles related to Machine Learning Mentor jobs?

For Machine Learning Mentor jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Mentor job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Modeling Engineer

Corning, NY • On-site

Corning
See more jobs at Corningexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Corning rating

8.3

Company rating: 8.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

Job description

Requisition Number: 76873

The company built on breakthroughs. 
Join us.                   

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. 

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward. 

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. 

Come break through with us. 

Corning's businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with: 

  • Trusted products that accelerate drug discovery, development, and delivery to save lives
  • Damage-resistant cover glass to enhance the devices that keep us connected
  • Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
  • Precision glass for advanced displays to deliver richer experiences 
  • Auto glass and ceramics to drive cleaner, safer, and smarter transportation 
  • Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions


THIS POSITION IS LOCATED IN CORNING, NY

Role Purpose

The Machine Learning Modeling Engineer develops advanced machine learning and AI solutions to support product and process design, development, and innovation across Corning. This role provides data analytics, modeling, and software development support to help solve critical technical problems, improve decision making, and create novel computational methods that strengthen Corning's competitive advantage.

Key Responsibilities

Develop advanced machine learning, deep learning, and generative AI models in support of research, engineering, and product development initiatives.
Partner with scientists, engineers, and business stakeholders to define project requirements, identify opportunities for analytics and machine learning, and translate technical needs into effective modeling solutions.
Prepare data, perform exploratory data analysis, and develop, test, and refine machine learning models to support Corning products at different stages of development.
Interpret modeling and analytical results in research, engineering, and business context and clearly communicate findings, implications, and recommendations to stakeholders.
Support software development and computational modeling efforts related to data analytics, machine learning, and scientific computing.
Research and improve applicable technologies while helping expand Corning expertise in emerging AI/ML methods and related technical areas.
Write and maintain technical documentation, provide user training as needed, and mentor new engineers and scientists.
Support multiple projects and collaborate across teams to deliver effective and scalable analytics and machine learning solutions.

Experiences/Education - Required

MS or PhD required in engineering, computer science, mathematics, statistics, or related discipline, with specialization in machine learning and artificial intelligence.
Background in one or more scientific disciplines such as physics, chemistry, or engineering required.
Experience preparing data for machine learning and performing exploratory data analysis independently.
Deep knowledge of machine learning techniques, including traditional machine learning, deep learning, convolutional neural networks, recurrent neural networks, generative models, and reinforcement learning algorithms.
Practical experience using machine learning and deep learning frameworks such as PyTorch or TensorFlow.
Familiarity with generative AI tools and frameworks.
Strong mathematical and programming skills using Python.
Comfortable working in Windows, Linux parallel processing cluster environments, and Databricks.
Strong communication skills and ability to work effectively with scientists, engineers, and technical stakeholders.
Ability to work independently and in a team environment while managing multiple priorities.

Experience Preferred

Background in time series, computer vision, natural language processing, physics-informed neural networks, or uncertainty quantification.
Track record of journal or conference publications in relevant technical fields.
Knowledge of emerging technologies and algorithms in AI/ML.
Experience with physics-based modeling and ability to analyze, optimize, and debug scientific code.
Experience building scalable data analytics solutions.
Experience with Databricks Workflows, Delta Lake, and data governance frameworks.
Foundation in software design principles and ability to design and develop applications as needed.
Demonstrated ability to support multiple projects in a fast-paced technical environment.
Strong motivation, attention to detail, and commitment to advancing beyond the current state.

This position supports immigration sponsorship.

The range for this position is $91,311.00 - $125,553.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life. 

Corning offers you the total package. 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.  
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.

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