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Ocean Machine Learning Jobs (NOW HIRING)

Corning

AI/Machine Learning Engineer

Wilmington, NC

$82K - $112K/yr

From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries ... Apply data science techniques, such as machine learning, statistical modeling, and artificial ...

Corning

AI/Machine Learning Engineer

Wilmington, NC · On-site

$82K - $112K/yr

From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries ... Apply data science techniques, such as machine learning, statistical modeling, and artificial ...

Corning

AI/Machine Learning Engineer

Wilmington, NC · On-site

$82K - $112K/yr

From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries ... Apply data science techniques, such as machine learning, statistical modeling, and artificial ...

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Ocean Machine Learning information

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$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.

Robotics Machine Learning Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Posted 19 days ago

Job description

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona's founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
We're looking for a Machine Learning Engineer to drive our machine learning strategy. We are primarily interested in candidates who have developed and released products to market, but can be flexible depending on aptitude and energy.
As one of the inaugural Machine Learning Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona's humanoid robot.
Your Role:
  • Collaborate on the design and development of the Persona ML software stack and support its application in manipulation, navigation, locomotion, and perception.
  • Work with the ML team to craft and execute on a comprehensive plan for the development of machine learning models, keeping up to date with the state of the art in research and development.
  • Work with the team to develop, test, and deploy software, machine learning pipelines, and data collection pipelines.
  • Monitor and evaluate the performance of models in the real world.
  • Collaborate with Universities and other companies.
  • Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.

We're Looking For:
  • Courage and grit to tackle some of the hardest problems in embodied AI.
  • Enthusiasm for working collaboratively in a high paced team environment.
  • 3+ years of experience in machine learning applied to robotics.
  • Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.)
  • Experience with cloud computing to develop models, store data, etc. (AWS, Azure, GCP)
  • Strong understanding of the state of the art research in robot learning (behavior cloning for manipulation, reinforcement learning for locomotion, world models, etc.).
  • Understanding of the challenges of deploying neural network models in the real world.
  • Experienced in deploying both traditional and learning based approaches for robotics.
  • Capable of writing high quality software.
  • Thrive in fast paced and ambiguous environments.
  • Strong first principles thinker.

Preferred or Bonus Qualifications:
  • An advanced degree (Masters or PhD) in computer science, robotics, machine learning, or another related field.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
  • Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.

Why join Persona AI?
  • You'll shape technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value diversity, creativity, and continuous learning.
  • Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.
  • We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.
Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

Apply