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Algorithm Research Jobs in Edison, NJ (NOW HIRING)

Rutgers University

Research Programmer

Piscataway, NJ · On-site

$120K - $130K/yr

Responsibilities will include: • Design, develop, and deploy ML/DL algorithms for domain science and engineering fields • Support RAD Collaboratory research on national cyberinfrastructure (e.g ...

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $184K/yr

Develop and refine advanced deep generative models and reinforcement learning algorithms for built ... Research and development of high-fidelity Geospatial AI models for the automated inference of ...

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All JobsAlgorithm Research JobsAlgorithm Research Jobs in Edison, NJ

Algorithm Research information

Is ML a high paying job?

Machine Learning (ML) roles, including those in algorithm research, are generally well-paid due to the high demand for specialized skills in data analysis, programming, and statistical modeling. Salaries vary based on experience, location, and industry, but advanced ML positions often offer competitive compensation compared to other tech roles.

What is algorithmic research?

Algorithm research involves studying and developing new algorithms to solve computational problems efficiently. It requires understanding theoretical concepts, analyzing algorithm performance, and often involves programming and testing in environments like Python or C++. This work supports advancements in fields such as artificial intelligence, data analysis, and software development.

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.

Which 3 jobs will survive AI?

Algorithm research jobs are likely to persist because they involve developing new algorithms and understanding complex data, tasks that require human creativity and critical thinking. Roles in healthcare, such as medical professionals, and skilled trades like electricians or plumbers, are also expected to remain in demand due to the need for hands-on expertise and human judgment. These jobs often require specialized knowledge, certifications, or physical skills that are difficult for AI to replicate fully.

Is AI replacing algorithms?

Algorithm research involves developing and improving algorithms, which are fundamental to AI systems. AI often relies on algorithms to process data and make decisions, but it does not replace the need for algorithm development; instead, AI advances can lead to new algorithmic techniques and improvements. Researchers in this field focus on creating efficient, effective algorithms that support AI applications and other computational tasks.

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.

What job categories do people searching Algorithm Research jobs in Edison, NJ look for? The top searched job categories for Algorithm Research jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Algorithm Research jobs? Cities near Edison, NJ with the most Algorithm Research job openings:
Algorithm Research jobs near you

Research Scientist, World Models

Basis Research

New York, NY • On-site

$120K - $180K/yr

Full-time

Re-posted 12 days ago

Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
Research scientists lead Basis' efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence.
We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
Research Focus
Despite the increasing recognition that both having and discovering world models are central to intelligence, current AI systems struggle to replicate this human capability. There remains significant uncertainty about what precisely constitutes a world model, how we might reliably detect if an agent possesses one, and crucially, how we can develop agents that learn these models rapidly and reliably.
Our research within the MARA project aims to develop new foundations and technologies for modeling, abstraction, and reasoning in AI systems. MARA's overarching goal is to uncover principled methods for how intelligence constructs, refines, and utilizes world models through interactive experimentation. Building these systems will demand advances in knowledge representation, abstraction, reasoning, active learning, reinforcement learning, and a first-principles rethinking of what it means to model the world.
The immediate mission of MARA is to solve concrete challenges such as AutumnBench, physical and simulated robotics benchmarks, and the Abstract Reasoning Corpus (ARC), with the broader mission of building systems capable of learning in an open, growing portfolio of domains using human-comparable amounts of data and interaction.
Who we're looking for
  • Researchers holding a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields.
  • Strong background in areas such as program synthesis, probabilistic programming, machine learning, AI reasoning systems, and cognitive modeling.
  • Experience in developing AI systems that combine neural and symbolic methods is highly valued.
  • Interest in foundational AI research and its applications to modeling, abstraction, and reasoning.
  • Individuals with a demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects.
  • Excited about solving real world problems and having positive societal impact.

Responsibilities
  • Conduct independent and collaborative research focused on the MARA project.
  • Develop new methods and algorithms for modeling, abstraction, and reasoning in AI systems.
  • Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, the Abstract Reasoning Corpus (ARC), and other domains.
  • Disseminate research findings through academic publications and presentations at leading conferences.
  • Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects.
  • Develop and maintain open-source software
  • (Optionally) Publish and present findings in journals and conferences
  • Contribute to the culture and direction of Basis
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: This is a full-time position
  • In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: This role is in-person in either New York City or Cambridge, MA.
  • Salary range: Competitive salary.
  • Start date: Immediate start possible.

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Read our full Global Data Privacy Notice here.

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