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Remote Machine Learning Researcher Jobs in Pennsylvania

The Pennsylvania State University

$76.70K - $129.50K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Designing, developing, and researching machine learning systems, models, and schemes * Studying ...

The Pennsylvania State University

$109.30K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Designing, developing, and researching machine learning systems, models, and schemes * Studying ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... NCEMS is an interdisciplinary research Center positioned at the interface of data science with ...

Comcast

Machine Learning Engineer 3-7881

Philadelphia, PA · On-site +1

$115.50K - $138.70K/yr

... production; research, write, and edit documentation and technical requirements, including ... Position is eligible for 100% remote work. REQUIREMENTS:Master's degree, or foreign equivalent, in ...

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Remote Machine Learning Researcher information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Researcher, and why are they important?

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.

What are Remote Machine Learning Researchers?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.
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Machine Learning Research Engineer (Remote Allowed)

Machine Learning Research Engineer (Remote Allowed)

NOMA AI

Pittsburgh, PA • Remote

$199K/yr

Full-time

Posted 28 days ago

Job description

NOMA AI Mission:

NOMA is developing a novel AI platform for healthcare that leverages deep tech and machine learning to analyze multimodal medical data and help clinical teams proactively identify risks of medical complications. Our first product focus is on maternal hemorrhage and excessive bleeding of mothers that can happen during labor and delivery and continues to rank as a leading cause of maternal mortality and morbidity in the U.S.


The Opportunity:

NOMA AI Inc. is looking for candidates for a machine learning research engineer position to participate in developing cutting-edge machine learning and data analytic solutions in healthcare. The successful applicant will participate in the development, research, evaluation, and deployment of machine learning methodologies for real-time clinical decision systems, patient monitoring, and alerting solutions. Our team includes individuals with strong machine learning, software engineering, and healthcare backgrounds. In addition, we wish to reach out to talented individuals who are passionate about revolutionizing healthcare and who are interested in:

  • Working on problems that are at the forefront of both industry and scientific research in ML for healthcare

  • Researching, developing, and deploying real-time machine learning-based AI tools in healthcare

  • Achieving long-term and ambitious product development goals while identifying intermediate milestones

  • Being independent problem solvers while operating in a collaborative environment

Qualifications:

  • Ph.D. degree in Computer science, Machine Learning, AI, or another equivalent field

  • Relevant publications

  • Ability to rapidly iterate and evaluate machine learning methodologies to solve novel problems

  • Experience working with popular machine learning frameworks, including NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow

  • Experience working with high-frequency signal and waveform data 

  • Experience with time-series data, high-frequency data, prediction modeling, and imbalanced data

  • Expert Knowledge of Python.

  • Have experience in working and collaborating with others on team projects

  • Ability to deliver with limited guidance, working on problems that are not structured

  • 5+ years of programming experience

Preferred Qualification:

  • Experience with medical data, electronic health records, biosensor data, etc.

  • Experience with real-time environments and model deployment

  • Experience with major cloud environments and other distributed systems

  • Interest and experience  in software engineering (data pipelines)

Employment Type: FULL_TIME
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About Noma AI

Sourced by ZipRecruiter

Industry

Health care and social assistance

Company size

1 - 10 Employees

Headquarters location

Pittsburgh, PA, US

Year founded

2019

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