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Remote Applied Scientist Machine Learning Jobs (NOW HIRING)

Strayos

$13 - $17.50/hr

Our applied science team uses these datasets to better understand our customers critical business ... machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to ...

Samsara

Senior+ Applied Scientist

$93K - $127K/yr

The Samsara Machine Learning / Computer Vision team builds end-to-end applications to power ... This is a remote position open to candidates residing in the United States. This position requires ...

Upstart

Applied Scientist

OR · On-site +1

The team conducts machine learning research, evaluates model performance, and partners closely with ... Remote Travel requirements As a digital first company, the majority of your work can be ...

New

ISEE

Research Scientist - Machine Learning

Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ...

Catawiki

We believe in creating flexible models that can be applied to a variety of use cases, and in ... Where you'll be This role is based in Amsterdam but we can offer remote work from the following ...

Moloco

Senior Applied Scientist - Moloco Ads

Seattle, WA · On-site +1

$104K - $142K/yr

... machine learning teams and data science teams. As an Applied Scientist, you will participate as an ... individual contributor on research projects alongside other research scientists within the context ...

Zillow

Principal Applied Scientist, Agentic AI

$181K - $290K/yr

About the team Zillow is investing deeply in next-generation AI and machine learning to power ... We collaborate closely with platform, product, and operations partners in a fast-moving, remote ...

Azumo

Data Scientist, Applied AI - Remote

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to ... The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ...

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Remote Applied Scientist Machine Learning information

What does a remote applied scientist machine learning do?

A Remote Applied Scientist in Machine Learning develops and implements machine learning models to solve real-world problems, often from a location outside of a traditional office. Their work involves analyzing large datasets, designing algorithms, and collaborating with teams to deploy scalable solutions. They may also conduct experiments to improve model performance and stay up to date with the latest research in the field. Communication and documentation are important, as they often work with cross-functional teams remotely.

What are the key skills and qualifications needed to thrive as a remote applied scientist machine learning?

To thrive as a Remote Applied Scientist in Machine Learning, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree and experience in ML algorithm development. Familiarity with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and tools for data processing and cloud computing is essential. Exceptional problem-solving ability, communication, and self-motivation are key soft skills for collaborating remotely and driving projects forward. These skills ensure you can independently design, implement, and communicate impactful machine learning solutions in a distributed work environment.

What can I expect in terms of collaboration and communication when working as a remote applied scientist machine learning?

As a Remote Applied Scientist in Machine Learning, you will frequently collaborate with cross-functional teams, including data engineers, product managers, and software developers. Communication typically takes place via video calls, chat platforms, and shared documentation, so strong written and verbal communication skills are essential. You may participate in regular virtual stand-ups, sprint planning, and code reviews to align on project goals and share progress. Remote work environments emphasize proactive communication and self-management to ensure seamless teamwork and project delivery.
What cities are hiring for Remote Applied Scientist Machine Learning jobs? Cities with the most Remote Applied Scientist Machine Learning job openings:
What are the most commonly searched types of Applied Scientist Machine Learning jobs? The most popular types of Applied Scientist Machine Learning jobs are:
What states have the most Remote Applied Scientist Machine Learning jobs? States with the most job openings for Remote Applied Scientist Machine Learning jobs include:
Remote Applied Scientist Machine Learning jobs near you
Infographic showing various Remote Applied Scientist Machine Learning job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Re-posted yesterday

Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN

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