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Computational Mathematics Remote Jobs in Oregon (NOW HIRING)

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Understanding of mathematical foundations relevant to algorithm development, including linear ...

YipitData

Data Scientist, Corporate

OR · On-site +1

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... Mathematical Proficiency: Exceptional expertise in working with, modeling, and optimizing for ...

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... Mathematical Proficiency: Exceptional expertise in working with, modeling, and optimizing for ...

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Computational Mathematics Remote information

What is computational mathematics in a remote job setting?

Computational mathematics in a remote job involves using mathematical models, algorithms, and computational techniques to solve complex problems, often in science, engineering, or finance, while working from a location outside a traditional office. Remote computational mathematicians typically use computer programming, numerical analysis, and simulations to analyze data or develop software tools. The remote aspect allows professionals to collaborate with teams and access resources virtually, making the role flexible and accessible from anywhere with a reliable internet connection.

What are some common challenges faced by remote computational mathematics professionals, and how can they be addressed?

Remote computational mathematics professionals often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication on complex mathematical concepts, and the need for reliable access to powerful computational resources. To overcome these challenges, it's important to leverage collaborative tools like version control systems, video conferencing, and shared code repositories. Regular virtual meetings and clear documentation also help maintain effective teamwork and ensure everyone stays aligned on project goals.

What are the key skills and qualifications needed to thrive as a Computational Mathematician in a remote role, and why are they important?

To thrive as a Computational Mathematician remotely, you typically need strong mathematical modeling, analytical skills, and a degree in mathematics, applied mathematics, or a related field. Proficiency in programming languages such as Python, MATLAB, or R, and experience with numerical simulation tools are often required. Excellent problem-solving, time management, and clear virtual communication skills help distinguish top performers in remote environments. These competencies are vital for solving complex problems, collaborating across locations, and efficiently delivering results in distributed teams.

What is the difference between Computational Mathematics Remote vs Data Scientist Remote?

AspectComputational Mathematics RemoteData Scientist Remote
Required CredentialsMathematics, Computer Science degrees, programming skillsStatistics, Mathematics, Programming, often a related degree
Work EnvironmentResearch-focused, algorithm development, modelingData analysis, machine learning, business insights
Industry UsageAcademia, research labs, tech companiesTech, finance, healthcare, e-commerce
Search & Comparison IntentFocus on mathematical modeling and algorithmsFocus on data analysis and predictive modeling

Computational Mathematics Remote roles primarily involve mathematical modeling, algorithm development, and research, often requiring advanced degrees in mathematics or related fields. Data Scientist Remote positions focus on analyzing data, building predictive models, and deriving insights, typically requiring skills in statistics and programming. While both roles involve data and programming, their core focus and industry applications differ.

What are popular job titles related to Computational Mathematics Remote jobs in Oregon? For Computational Mathematics Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Computational Mathematics Remote jobs in Oregon look for? The top searched job categories for Computational Mathematics Remote jobs in Oregon are:
What cities in Oregon are hiring for Computational Mathematics Remote jobs? Cities in Oregon with the most Computational Mathematics Remote job openings:
Computational Mathematics Remote jobs near you
Machine Learning Engineer

Machine Learning Engineer

Cellanome

Foster, OR • On-site, Remote

$160K - $215K/yr

Other

Re-posted 19 days ago

Job description

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to the Sr. Director AI and can be based in our San Diego CA or Foster City CA offices. Possibility for Remote.

Key Responsibilities:

  • Design, develop, and optimize advanced algorithms for workflow automation, which include computer vision and computational geometry components.
  • Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks.
  • Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.
  • Collaborate with cross-functional hardware, software, and product engineering teams to integrate algorithms into our broader software ecosystem.
  • Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing environments with considerations for latency, throughput, and memory efficiency.
  • Create technical documentation, validation reports, and performance metrics to support product development and cross-team collaboration.

Role Requirements:

  • Typically requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience.
  • Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications.
  • Strong programming skills in Python with experience developing production-quality, maintainable, and well-documented code.
  • Solid understanding of software development fundamentals, including debugging, version control, testing, and code optimization.
  • Familiarity with AI/ML concepts and workflows, including data preprocessing, model training, evaluation, and deployment.
  • Experience with image analysis, computer vision, signal processing, or data-driven algorithm development.
  • Understanding of mathematical foundations relevant to algorithm development, including linear algebra, probability/statistics, optimization methods, and estimation theory.
  • Experience applying algorithmic techniques such as optimization, dynamic programming, numerical methods, or statistical modeling to solve engineering problems.
  • Familiarity with workflow automation, process optimization, or development of efficient data-processing pipelines.
  • Ability to analyze complex technical problems, evaluate tradeoffs, and develop scalable algorithmic solutions.
  • Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment.

Preferred Qualifications:

  • Proficiency in C++, C#, or other high-performance programming languages for algorithm deployment and system integration.
  • Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems.
  • Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms.
  • Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution.
  • Familiarity with optimization and estimation techniques such as convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods.

We  provide competitive total compensation packages, including base pay, benefits, and equity. In California, the estimated base salary range for this position is $160,000 - $215,000/year. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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