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Remarkable Ai Jobs (NOW HIRING)

Terra AI

Senior/Staff Machine Learning Engineer

$107K - $146K/yr

Terra AI is building a new category at the intersection of artificial intelligence, geoscience, and ... Role description In the same way image generators have shown the remarkable ability to produce a ...

Terra AI

Senior/Staff Machine Learning Researcher

Terra AI is building a new category at the intersection of artificial intelligence, geoscience, and ... Role description In the same way image generators have shown the remarkable ability to produce a ...

Epic Games

Senior AI Engineer

Cary, NC · On-site

$96K - $132K/yr

As a Senior Gameplay AI Engineer, you'll play a critical role on a small, focused team. You'll own ... As we continue to build our Engine technology and develop remarkable games, we strive to build ...

Simon-Kucher & Partners

Senior AI Engineer

Glassboro, NJ · On-site +1

$101K - $138K/yr

As a Senior Lead Applied AI Engineer, you will design, build, and operate production-grade internal ... If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued ...

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Remarkable Ai information

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How much do remarkable ai jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remarkable ai in the United States is $117,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What is Remarkable AI?

Remarkable AI refers to a company or technology that specializes in developing advanced artificial intelligence solutions, often focused on enhancing productivity, creativity, or automation in various industries. The term 'Remarkable AI' may also describe particularly impressive or impactful AI systems. Depending on the context, this could involve natural language processing, machine learning, or other innovative AI-driven technologies. The goal of Remarkable AI is typically to solve complex problems and create significant value for users or businesses.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically supported by a relevant degree or certifications. Expertise in programming languages (such as Python or Java), experience with frameworks like TensorFlow or PyTorch, and familiarity with data management systems are essential. Critical thinking, problem-solving, and effective communication are vital soft skills for collaborating across teams and tackling complex challenges. These skills enable AI Engineers to develop, deploy, and optimize intelligent systems that drive innovation and business value.

What are some common challenges faced by professionals working in AI product development at Remarkable AI, and how can new team members prepare for them?

Professionals in AI product development at Remarkable AI often encounter challenges such as balancing innovative feature development with rigorous testing and ethical AI considerations. New team members should be prepared to work in a fast-paced, multidisciplinary environment where collaboration between engineers, data scientists, and product managers is key. Staying updated on the latest AI research and best practices, as well as developing strong communication skills, can help ease the transition and ensure successful project delivery.

What is the difference between Remarkable Ai vs Data Scientist?

AspectRemarkable AiData Scientist
Required CredentialsTypically requires knowledge of AI tools, programming, and data analysisRequires degrees in computer science, statistics, or related fields, often with certifications in data analysis
Work EnvironmentTech companies, AI startups, or product teams focusing on AI solutionsResearch labs, tech firms, or corporate data departments
Industry UsageUsed in AI product development, automation, and machine learning applicationsApplied in data analysis, predictive modeling, and business insights
Common Search & ComparisonYesYes

Remarkable Ai professionals focus on developing and implementing AI solutions, often requiring programming and AI-specific skills. Data Scientists analyze data to generate insights, requiring statistical and analytical expertise. While both roles work with data and AI tools, Remarkable Ai roles are more product and development-oriented, whereas Data Scientists focus on data analysis and modeling.

More about Remarkable Ai jobs
What cities are hiring for Remarkable Ai jobs? Cities with the most Remarkable Ai job openings:
What states have the most Remarkable Ai jobs? States with the most job openings for Remarkable Ai jobs include:
What job categories do people searching Remarkable Ai jobs look for? The top searched job categories for Remarkable Ai jobs are:
Remarkable Ai jobs near you
Infographic showing various Remarkable Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $117,986 per year, or $56.7 per hour.

Senior/Staff Machine Learning Engineer

Terra AI

Remote

$107K - $146K/yr

Full-time

Re-posted 21 hours ago

Job description

Terra AI is building a new category at the intersection of artificial intelligence, geoscience, and critical resource development.
As global demand for copper, lithium, nickel, rare earth elements, geothermal energy, and other strategic resources accelerates, the mining and subsurface industries face a growing challenge: traditional exploration methods remain slow, expensive, and highly uncertain. Terra AI was founded to help solve this problem by redefining how critical resources are discovered, evaluated, and developed.
By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with greater confidence and capital efficiency. The company's platform integrates geological, geophysical, and drilling data into intelligent systems designed to improve targeting accuracy, accelerate discovery timelines, and reduce exploration risk.
Backed by leading investors including Khosla Ventures and working alongside strategic industry partners including Rio Tinto, Ero Copper, and Ramaco Resources, Terra AI is emerging as one of the more closely watched AI-native companies operating within the mining and critical minerals sector.
Terra AI's mission is to define the new global standard for data-driven critical resource development - breaking the cost and time curve required to support electrification, energy security, and the global energy transition.
The company operates with a strong partnership mentality, combining technical rigor, candid communication, continual learning, and environmental stewardship to help modern exploration teams solve some of the world's most important resource challenges.
Role description
In the same way image generators have shown the remarkable ability to produce a diverse set of realistic pictures conditioned on a text prompt (and other inputs), we are developing a generative model that produces 3D geological models conditioned on geophysical surveys, borehole measurements, and other forms of physical observation. The outputs of the generative model capture what we know and don't know about the state of the subsurface, allowing explorers to make maximally informed decisions about how and where to explore for critical resources.
We are looking for a talented deep learning engineer or scientist to lead the development of this model that will revolutionize decision-making in the earth subsurface for a wide range of clean energy applications.
Role Responsibilities
  • Design, train, test, and iterate on diffusion models for 3D geological models
  • Design, train, test, and iterate on an approach for conditioning generation on geophysical data and other observations
  • Inform the generation of synthetic data to improve model performance
  • Adapt diffusion modeling approach to specific real-world projects in collaboration with project teams.

Qualifications
Required Qualifications:
  • Extensive PyTorch Experience
    • Deep understanding of PyTorch, including writing custom modules, optimizing training, and debugging issues in large-scale models.
  • Expertise in Developing Large Deep Learning Models from Scratch
    • Proven ability to design, implement, and train complex deep learning architectures from the ground up.
  • Data Curation Skills
    • Hands-on experience in creating, cleaning, and maintaining high-quality datasets tailored for machine learning applications.
  • Strong Software Engineering and Design Experience
    • Proficient in software development best practices, including version control, testing, and code optimization.
    • Familiarity with designing scalable and maintainable systems.

Nice-to-haves:
  • Experience with Generative Models
    • Familiarity with generative architectures, particularly diffusion models, and an emphasis on posterior sampling methods.
  • Knowledge of Transformer Architectures
    • Experience building and training transformers, especially in applications involving 3D data.
  • Scaling Models Across Large GPU Clusters
    • Expertise in parallelizing models across multiple GPUs and optimizing distributed training pipelines.
  • Cloud Infrastructure Expertise
    • Experience setting up, managing, and optimizing cloud environments for machine learning workloads, including provisioning resources and managing costs.

Apply