ZipRecruiter

Log In

1

Ocean Machine Learning Jobs (NOW HIRING)

Corning

Scientist, Data Analytics

Corning, NY · On-site

$71K - $98K/yr

From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries ... Knowledge of machine learning techniques, including traditional machine learning and modern deep ...

Corning

Scientist, Data Analytics

Corning, NY

$71K - $98K/yr

From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries ... Knowledge of machine learning techniques, including traditional machine learning and modern deep ...

Corning

Scientist, Data Analytics

Corning, NY

$71K - $98K/yr

From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries ... Knowledge of machine learning techniques, including traditional machine learning and modern deep ...

Ocean Downs Casino

Slot Attendant

Berlin, MD

$12.50/hr

At Ocean Downs, we foster a culture of respect, continuous learning, and growth--empowering our ... Records and logs any VLT machines that are not working. * Responsible for carrying an adequate ...

EOS Hospitality

Dishwasher - Ocean

Kennebunkport, ME · On-site

$25K/mo

... vents, ice machine, deliming dish machine, etc. * Restock kegs and CO2 beverage syrups ... Kennebunkport Resort Collection offers customized learning opportunities for all employees. We work ...

EOS Hospitality

Dishwasher - Ocean

Kennebunkport, ME · On-site

$25K/mo

... vents, ice machine, deliming dish machine, etc. * Restock kegs and CO2 beverage syrups ... Kennebunkport Resort Collection offers customized learning opportunities for all employees. We work ...

Williammary

Research Scientist

Gloucester Point, VA

$65K/yr

Ph.D. in Coastal Engineering, Oceanography, Civil/Environmental Engineering, Marine Science ... Experience integrating AI or machine learning approaches into environmental modeling * Experience ...

Pravāh

AI Weather Scientist

San Francisco, CA · On-site

$150K - $250K/yr

We apply modern machine learning to complex physical infrastructure problems spanning grid ... ocean-atmosphere configurations. * Experience with operational forecasting models or workflows ...

ATI

Data Scientist

Cudahy, WI

From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is ... As a Data Scientist your work may be focused in a variety of areas, including Machine learning ...

Next Gen Alloys

Data Scientist

Cudahy, WI

From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is ... As a Data Scientist your work may be focused in a variety of areas, including Machine learning ...

ATI

Data Scientist

Cudahy, WI · On-site

From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is ... As a Data Scientist your work may be focused in a variety of areas, including Machine learning ...

next page

Showing results 1-20

People also search for

All JobsOcean Machine Learning Jobs

Ocean Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do ocean machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for ocean machine learning 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 are the key skills and qualifications needed to thrive as an Ocean Machine Learning Specialist, and why are they important?

To excel as an Ocean Machine Learning Specialist, you need a strong background in data science, oceanography, and programming, typically supported by a degree in computer science, marine science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), oceanographic data platforms, and programming languages like Python or R is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills set top professionals apart in this field. These skills are crucial for accurately interpreting complex ocean data, developing predictive models, and collaborating with interdisciplinary teams to address marine challenges.

What are some common challenges faced by professionals working in ocean machine learning, and how can they be addressed?

Professionals in ocean machine learning often encounter challenges such as limited availability of high-quality labeled data, dealing with noisy or incomplete datasets from ocean sensors, and adapting machine learning models to complex, dynamic marine environments. Addressing these issues often involves collaborating closely with oceanographers and data engineers to improve data collection methods, applying advanced data pre-processing techniques, and leveraging domain-specific knowledge to inform model development. Staying current with the latest research and participating in interdisciplinary teams can also help overcome these unique obstacles and drive innovation in the field.

What is an Ocean Machine Learning specialist?

An Ocean Machine Learning specialist is a professional who applies machine learning techniques to analyze and interpret oceanographic data. They work with large and complex datasets gathered from sources like satellites, underwater sensors, and robotic vehicles to study ocean patterns, marine life, climate change, and environmental impacts. Their work helps improve predictive models for weather, ocean currents, and marine ecosystem health, contributing valuable insights for scientific research, conservation, and maritime industries.

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

AspectOcean Machine LearningOcean Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch labs, tech companies, marine research institutionsResearch institutions, environmental agencies, marine industry
Industry UsageDeveloping ML models for ocean data analysisAnalyzing ocean data to inform decisions and research

Ocean Machine Learning focuses on developing algorithms and models to analyze ocean data, often requiring advanced programming and ML expertise. Ocean Data Scientists interpret ocean data to generate insights, combining statistical analysis with domain knowledge. Both roles overlap in skills but differ in their primary focus: model development versus data interpretation.

Infographic showing various Ocean Machine Learning job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 4% Internship, 45% Full Time, 31% Part Time, 13% Contract, and 5% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Scientist, Data Analytics

Scientist, Data Analytics

Corning

Corning, NY • On-site

$71K - $98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

79th of 515 rated manufacturers

Job description

Requisition Number: 74906
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.
Scope of Position
This candidate will be responsible for using existing data and/or generating new data to solve technical, business, or project-related problems. The candidate should have experience with data capture using various software tools, managing and manipulating large datasets, and applying a wide variety of data analysis methods. The analytical work will support projects ranging from highly technical problems to business forecasting. This will also involve manufacturing, development, research, and commercial work. The incumbent will act as a subject matter expert within a team environment to provide data analytics; this may require the creation of novel computational methods and analytical models.
Day to Day Responsibilities
  • Perform data analysis and interpret results in RD&E or business environments.
  • Work independently or as part of a team on data collection and preparation, followed by identification and application of appropriate analytical methods to solve problems or gain insight.
  • Participate on cross-functional teams to develop and test hypotheses to meet project objectives.
  • Develop new theories, or expand upon existing theories, as needed to solve complex problems.
  • Research external and internal information relevant to problems identified by the project team.
  • Collaborate with subject matter experts to solve challenging problems across a variety of (mostly technical) disciplines.

Travel requirements/Work hours
  • No travel required
  • Normal business hours are 8:00 a.m.-5:00 p.m., with occasional additional hours needed to meet urgent project demands.

Education and Experience - Required
  • M.S. or Ph.D. in engineering, computer science, mathematics, statistics, or a related discipline, with a specialization in data analytics

Required Skills
  • Capable of independently preparing data for machine learning purposes and performing exploratory data analysis.
  • Strong mathematical and programming skills.
  • Deep knowledge of state-of-the-art analytical methods and the software required to apply them. Knowledge of machine learning techniques, including traditional machine learning and modern deep learning methods (e.g., convolutional neural networks, recurrent neural networks, transformers, and self-supervised learning).
  • Practical experience using machine learning and deep learning frameworks and libraries for large-scale data mining.

Desired Skills
  • Knowledge of emerging technologies and algorithms in computer vision and/or machine learning in general.
  • Understanding of analytics platforms and the ability to build data analytics solutions that meet performance and scale requirements.
  • Familiarity with newer AI approaches such as foundation models and large language models (LLMs), generative AI, retrieval-augmented generation (RAG), and related tooling (e.g., prompt engineering, model evaluation, and/or MLOps practices for deployment and monitoring).

Soft Skills
  • Must be collaborative and able to openly engage with colleagues to achieve project goals.
  • Self-motivated, with the ability to manage one's own work independently.
  • Ability to communicate effectively by phone and video with team members at international locations.
  • Ability to take feedback constructively and use it for personal growth.

This position supports immigration sponsorship.
The range for this position is $71,337.00 - $98,089.00 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.

What Corning employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply