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Algorithm Research Jobs (NOW HIRING)

Jobgether

$76K - $96K/yr

We are currently looking for an Analytic Learning Algorithm Research in Netherlands. This role sits at the intersection of machine learning theory, probabilistic modeling, and applied research ...

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

ESSENTIAL DUTIES AND RESPONSIBILITIES: • Research and implement a novel or extension of an algorithm in the areas of Artificial Intelligence for our Robotic Manipulation application (such as Deep ...

Toyon Research Corporation

Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

Toyon is seeking Algorithm Developers capable of developing advanced algorithms and software for ... Toyon Research Corporation will consider the individual candidate's education, work experience ...

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Algorithm Research information

What are the key skills and qualifications needed to thrive as an Algorithm Researcher, and why are they important?

To excel as an Algorithm Researcher, you need a strong background in mathematics, computer science, and algorithm design, often supported by an advanced degree such as a master's or PhD. Proficiency with programming languages (like Python, C++, or Java), machine learning frameworks, and version control systems is essential. Analytical thinking, creativity, and effective communication are crucial soft skills that set top performers apart in this field. These skills are vital for developing innovative, efficient solutions and collaborating within interdisciplinary teams to solve complex computational problems.

What is Algorithm Research?

Algorithm research involves studying, designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Researchers in this field explore new computational methods, improve existing algorithms, and evaluate their performance in various contexts. This work is fundamental in areas like computer science, artificial intelligence, data science, and cryptography, driving technological advances and innovation.

What are the typical challenges faced by professionals in Algorithm Research roles and how can they best address them?

Algorithm Research professionals often encounter challenges such as bridging the gap between theoretical solutions and practical implementation, staying updated with rapid advancements in the field, and collaborating with cross-functional teams to integrate research outcomes into real-world products. To address these challenges, it is helpful to maintain strong communication with engineering teams, participate in continual learning through academic papers and conferences, and adopt an iterative approach to testing and refining algorithms. Building a habit of documenting experiments and results also streamlines collaboration and future development.

What is the difference between Algorithm Research vs Data Scientist?

AspectAlgorithm ResearchData Scientist
Required CredentialsAdvanced degrees in CS, Mathematics, or related fieldsDegree in CS, Statistics, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, analytics teams, tech companies
Industry UsageDeveloping new algorithms, theoretical researchAnalyzing data, building predictive models, insights generation
Common Search/ComparisonYesNo

Algorithm Research focuses on developing and testing new algorithms, often in research or academic settings, requiring advanced technical credentials. Data Scientists analyze data to generate insights and build models, working primarily in business environments. While both roles involve data and programming, their core objectives and work settings differ significantly.

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Algorithm Research jobs near you
Infographic showing various Algorithm Research job openings in the United States as of June 2026, with employment types broken down into 7% Internship, 38% Full Time, 14% Part Time, 10% Temporary, 28% Contract, and 3% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Analytic Learning Algorithm Research

Jobgether

Remote

$76K - $96K/yr

Full-time

Posted 10 days ago

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Analytic Learning Algorithm Research in Netherlands.

This role sits at the intersection of machine learning theory, probabilistic modeling, and applied research, focusing on building systems that represent domain knowledge through modular probabilistic structures. You will contribute to the design of learning algorithms that ensure consistency, composability, and uncertainty propagation across complex model architectures. The work spans both theoretical exploration and practical implementation, with direct applications in areas such as finance, scientific discovery, and advanced quantitative analysis. You will collaborate with a highly technical, research-driven team working fully remotely across CET-aligned time zones. The environment is intellectually rigorous, fast-evolving, and deeply focused on bridging mathematical reasoning with real-world computational systems. This is an opportunity to contribute to foundational research with tangible impact across multiple high-stakes domains.

Accountabilities:
  • Develop numerical and analytical models for learning systems based on modular probabilistic architectures.
  • Design and analyze learning algorithms, ensuring theoretical soundness and practical applicability.
  • Prove properties of algorithms and validate findings through rigorous experimental evaluation.
  • Translate concepts from academic literature into implementable models and system components.
  • Contribute clean, well-documented code supporting research experiments and production-aligned implementations.
  • Collaborate closely with other researchers to integrate insights across different areas of expertise and support shared objectives.
  • Help advance system design by ensuring coherence between mathematical reasoning and software implementation.
Requirements:
  • Advanced degree in Mathematics, Computer Science, Statistics, or a related quantitative field (PhD or equivalent research experience strongly preferred).
  • Strong background in mathematical analysis methods such as optimal transport, information geometry, or continuous optimization.
  • Experience working with probabilistic graphical models, including factor graphs or related frameworks.
  • Familiarity with tractable density estimation techniques such as normalizing flows, autoregressive models, or probabilistic circuits.
  • Ability to bridge theoretical reasoning and practical implementation in code.
  • Strong analytical thinking skills with a research-oriented mindset and attention to mathematical rigor.
  • Excellent communication skills and ability to collaborate effectively in a distributed research environment.
Benefits:
  • Fully remote work setup within a globally distributed, research-focused team (CET-aligned collaboration).
  • Opportunity to work on cutting-edge theoretical problems with direct real-world applications.
  • High level of autonomy in a flat, research-driven environment.
  • Exposure to interdisciplinary applications across finance, physics, and scientific modeling.
  • Collaboration with experts in machine learning theory, probabilistic modeling, and applied mathematics.
  • Strong focus on intellectual growth, research impact, and publication-quality work.
  • Competitive compensation aligned with experience and expertise.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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