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Remote Applied Scientist Machine Learning Jobs (NOW HIRING)

Samsara

Senior+ Applied Scientist

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 ...

Fuze Health

Applied Scientist - FuzeRx

OR · On-site +1

As a Applied Scientist, you will lead the end-to-end development of advanced machine learning ... March 15, 2026 #LI-Remote Fuze Health is an Equal Opportunity Employer. All qualified applicants ...

Fuze Health

Applied Scientist - FuzeRx

As a Applied Scientist, you will lead the end-to-end development of advanced machine learning ... March 15, 2026 #LI-Remote Fuze Health is an Equal Opportunity Employer. All qualified applicants ...

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

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 ...

ISEE

Research Scientist - Machine Learning

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

ISEE

Research Scientist - Machine Learning

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

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 ...

Upstart

Applied Scientist

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 ...

GDIT

Senior Data Scientist - Machine Learning

WV · On-site +1

This is a remote role. Candidates must reside in the United States. MEANINGFUL WORK AND PERSONAL ... Master's in a quantitative field (statistics, computer science, engineering, applied mathematics or ...

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 ...

Zillow

Principal Applied Scientist, Agentic AI

$181K - $290K/yr

You will partner closely with applied scientists, machine learning engineers, software engineers ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

Zillow

Principal Applied Scientist, Agentic AI

$181K - $290K/yr

You will partner closely with applied scientists, machine learning engineers, software engineers ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

Zillow

Principal Applied Scientist, Agentic AI

$181K - $290K/yr

About the teamZillow is investing deeply in nextgeneration AI and machine learning to power ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

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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.

Senior+ Applied Scientist

Remote

Samsara
See more jobs at Samsaraexternal

Full-time

Re-posted 5 days ago

Job description

About the role:

The Samsara Machine Learning / Computer Vision team builds end-to-end applications to power different product pillars at Samsara. We are looking for a talented applied scientist to generate insights and draw value from rich customer interactions, as well as from the 2T+ data points our sensors and cameras collect on an annual basis.

This is a remote position open to candidates residing in the United States. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.

You should apply if:

  • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact-helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
  • You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
  • You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
  • You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win-together.

In this role, you will: 

  • Build and improve the accuracy of ML / CV models, including retraining and optimizing models to solve Samsara-specific problems. 
  • This will contribute to our R&D roadmap across our four product categories including:
    • Video-based safety - Key focus.
    • Vehicle telematics.
    • Equipment monitoring.
    • Workforce apps and Site Visibility.
  • Work with petabyte-scale data from Samsara camera and sensor devices to develop new models.
  • Optimize models for inference on the backend and/or on edge devices.
  • Partner with firmware and full-stack teams to deploy model for optimal performance and cost.
  • Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs.
  • Collaborate with product team to translate customer needs to ML / CV solutions.
  • Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

  • BS or MS in Computer Science or other technical degree with 5+ years of experience as an Applied Scientist, Machine Learning Engineer, or similar role working on Computer Vision; or
  • Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics) with 3+ years of experience working on Computer Vision.
  • Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python).
  • Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch).
  • Familiarity with managing data processing and machine learning code via GitHub.
  • Excellent problem-solving skills and the ability to work alone and collaboratively.

An ideal candidate also has:

  • Experience implementing ML models on large datasets 100K to 1M and more on the edge.
  • Experience building, deploying, and optimizing ML models on the edge.
  • Experience in state-of-the-art models for road segmentation, road object detection and tracking.
  • Experience working with cross-functional teams on a project.
  • Comfortable with full-stack/backend development code to build a strong understanding of underlying data structures and other dependencies.

Apply