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AI Research Scientist

Who are we?

Coastal Carbon is a seed-funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we’re backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and Sid Gorham (cofounder OpenTable, Granular), and partners like Amazon AWS and the United Nations.

What do we do?

We’re building multimodal foundation models for the natural world. We believe there’s more to the world than the internet + more to intelligence than memorizing the internet. Our models are trained on satellite remote sensing and real world ground truth data, and are used by our customers in nature conservation, carbon dioxide removal, and government to protect and positively impact our increasingly changing world. Our ultimate goal is to build AGI of the natural world.

About the role

We are looking for an AI Research Scientist to join our team and contribute to designing and building cutting-edge models.

The role will involve:

  • Research & Design:

    • Deep understanding of current machine learning research.

    • Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or projects.

    • Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data.

    • Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long-term projects autonomously.

  • Implementation:

    • Developing high-level proof-of-concept (POC) models.

    • Experimenting with new state-of-the-art techniques to surpass existing models.

    • Plan and execute innovative research and development to push the boundaries of current technology.

  • Writing and Publication:

    • Assisting in the preparation and writing of technical and scientific papers for publication.

    • Demonstrated strong scientific communication/presentation skills.

Requirements

  • PhD degree in computer science, engineering, a related field, or equivalent experience.

  • Proven track record of successful machine learning research projects

  • 5+ years of experience in relevant jobs

  • Strong scientific understanding of the field of generative AI

  • Experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)

  • Location wise, strong preference for in-person in Waterloo. We are an entirely in-person team, but are willing to consider remote for exceptional candidates.

Nice to have

  • Proficiency in scripting languages such as Python, Bash, or PowerShell.

  • Demonstrated experience with deep learning and transformer models.

  • Familiarity with designing, training, and fine-tuning large models.

  • Proficiency in frameworks like PyTorch or TensorFlow.

  • Strong technical engineering skills.

  • Previous experience in creating high-performance implementations of deep learning algorithms.

  • Team player, willing to undertake various tasks to support the team.

Average salary estimate

$110000 / YEARLY (est.)
min
max
$90000K
$130000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Research Scientist, HUM Nutrition

Are you ready to take on a challenge as an AI Research Scientist with Coastal Carbon? Located in the vibrant tech hub of Waterloo, this seed-funded startup is not just another company; it's a movement aimed at leveraging earth observation and AI for positive environmental impact. We are on a mission to create multimodal foundation models that extend beyond the digital sphere and delve deep into the natural world. At Coastal Carbon, you will engage with top-tier expertise, having a team filled with PhDs and engineers committed to innovating how we understand and interact with our planet. Your role will focus heavily on research and design, where you'll explore existing machine learning studies and generate groundbreaking ideas. We value independent thinkers who can manage complex research agendas, focusing on earth observation and satellite data. In addition to developing proof-of-concept models and experimenting with cutting-edge techniques, you will also play a crucial role in preparing scientific publications. If you have a PhD in computer science, a robust background in machine learning research, and a desire to push the boundaries of AI technology while working in a collaborative and fully in-person environment, then we would love to hear from you. Join us at Coastal Carbon, where your work can lead to transformative impacts on our changing world!

Frequently Asked Questions (FAQs) for AI Research Scientist Role at HUM Nutrition
What are the responsibilities of an AI Research Scientist at Coastal Carbon?

As an AI Research Scientist at Coastal Carbon, your primary responsibilities will include conducting advanced research in machine learning, developing proof-of-concept models, and independently managing your research projects. You will be expected to contribute to scientific publications and communication while pushing the boundaries of current technology in earth observation.

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What qualifications are required for the AI Research Scientist position at Coastal Carbon?

To qualify for the AI Research Scientist role at Coastal Carbon, candidates must hold a PhD in computer science, engineering, or a related field, with at least 5 years of experience in machine learning research. Additionally, a strong track record of first-author publications at prestigious AI conferences is essential.

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How does Coastal Carbon utilize AI for earth observation as an AI Research Scientist?

At Coastal Carbon, the AI Research Scientist will focus on developing multimodal foundation models using earth observation data and ground truth information. Your innovative research will help enhance nature conservation efforts and support governmental projects aimed at mitigating climate challenges.

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Is in-person work mandatory for the AI Research Scientist role at Coastal Carbon?

Yes, Coastal Carbon prefers candidates for the AI Research Scientist position to work in-person in Waterloo. However, we are willing to consider remote arrangements for exceptional candidates who meet our high standards.

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What technical skills should an AI Research Scientist at Coastal Carbon possess?

An ideal AI Research Scientist at Coastal Carbon should have proficiency in programming languages such as Python and experience with deep learning frameworks like PyTorch or TensorFlow. Familiarity with scripting languages and techniques in designing, training, and fine-tuning large models are also valuable.

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Common Interview Questions for AI Research Scientist
Can you describe your experience with machine learning research?

When answering this question, highlight specific projects you've worked on, your role in them, and any noteworthy results or publications. Discuss methodologies used and how they align with Coastal Carbon's focus on innovative AI solutions for environmental challenges.

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What techniques do you use to generate new ideas in your research?

Articulate a structured approach for brainstorming and experimentation in your research process, citing projects where you've employed innovative thinking. Emphasize collaboration and how feedback from peers has influenced your ideas, relevant to the teamwork at Coastal Carbon.

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How do you approach managing a research project autonomously?

Discuss your organizational skills, prioritization strategies, and how you set milestones and deadlines. Share examples of past research projects where you successfully managed timelines and deliverables independently.

Join Rise to see the full answer
How have your publications contributed to the AI community?

Provide insight into the significance of your published work in advancing knowledge in AI. Highlight peer-reviewed conferences where your work was recognized and how it fits into the broader challenges faced in the industry, particularly those pertinent to Coastal Carbon.

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What is your experience with earth observation data?

Share your background in working with remote sensing data, highlighting specific projects that utilized this type of data alongside machine learning techniques. Discuss the challenges and your solutions that could relate to Coastal Carbon's objectives.

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What are some state-of-the-art techniques you’ve recently experimented with?

Discuss recent advancements in the AI field that you’ve personally explored. Connect these techniques to their potential applications in earth observation and how they could benefit Coastal Carbon's mission.

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Describe your experience with deep learning frameworks like PyTorch or TensorFlow.

Provide a thorough overview of your hands-on work with these frameworks, detailing any projects where you've implemented these tools, the challenges you faced, and your contributions to successful model performance. Relate your experience to the expectations at Coastal Carbon.

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How do you ensure effective scientific communication in your work?

Explain your strategies for articulating complex scientific concepts to a variety of audiences. Provide examples of how you have successfully presented your research findings, emphasizing clarity and engagement, which is vital for Coastal Carbon’s collaborative environment.

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Can you talk about a project where you had to innovate a solution under constraints?

Reflect on past projects that required creativity and improvisation due to limitations. State what the constraints were, how you approached the problem, and what resulted from your innovative solution, aligning this with Coastal Carbon’s focus on impactful AI.

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Why do you want to work as an AI Research Scientist at Coastal Carbon?

Articulate your passion for working at the intersection of AI and environmental science. Discuss the alignment between your professional goals and Coastal Carbon's mission, emphasizing your enthusiasm for contributing to positive societal impacts through your research.

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HUM is an LA based start-up with one mission: to make you look great and feel even greater. HUM's online platform connects consumers with Nutrition experts and cutting edge products. The company’s profiling methodology and line of beauty supplemen...

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Full-time, hybrid
DATE POSTED
April 14, 2025

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