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Internship Linear Algebra Jobs (NOW HIRING)

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

Permanent Quantitative Researcher Junior level (internship - 3 years experience) I am working with ... Excellent understanding of statistical methods, probability theory, linear algebra, and time series ...

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Linear Algebra * Optimization * Stochastic Processes Programming * Python * C++ * SQL * Data ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Experience in convex optimization, computational geometry or linear algebra. * Experience in GPU/CUDA/TensorRT * Previous internships involving large-scale deep learning models and systems

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Linear Algebra * Optimization * Stochastic Processes Programming * Python * C++ * SQL * Data ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

Ciena

Optical DSP Intern (Masters/PhD)

Atlanta, GA · On-site

$27 - $43/hr

This internship role contributes to the design and development of high-speed optical modem ... Application of engineering mathematics including linear algebra, FFT/IFFT, Laplace transform, Z ...

pony.ai

Research Intern - Deep Learning

Fremont, CA

$7.0K - $10K/mo

Experience in convex optimization, computational geometry or linear algebra. * Experience in GPU/CUDA/TensorRT * Previous internships involving large-scale deep learning models and systems

Ciena

Optical DSP Intern (Masters/PhD)

Atlanta, GA · On-site

$27 - $43/hr

This internship role contributes to the design and development of high-speed optical modem ... Application of engineering mathematics including linear algebra, FFT/IFFT, Laplace transform, Z ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Experience in convex optimization, computational geometry or linear algebra. * Experience in GPU/CUDA/TensorRT * Previous internships involving large-scale deep learning models and systems

Synopsys

Senior R&D Engineer - Job ID 18042

Canonsburg, PA · On-site

$96K - $131K/yr

May be responsible for managing interns or co-ops but typically does not have direct reports ... linear algebra packages to implement numerical simulation workflows for computer-aided engineering ...

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

... previous internships, work experience, coding competitions, and/or research projects and papers ... linear algebra, calculus, and probability. - Proficient in reading and coding in Python and/or C ...

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

... previous internships, work experience, coding competitions, and/or research projects and papers ... linear algebra, calculus, and probability. - Proficient in reading and coding in Python and/or C ...

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Internship Linear Algebra information

What is the difference between Internship Linear Algebra vs Data Analyst?

AspectInternship Linear AlgebraData Analyst
Required CredentialsBasic knowledge of linear algebra, often student or entry-levelDegree in statistics, mathematics, or related field; some certifications
Work EnvironmentAcademic, research labs, or tech companies; project-basedBusiness settings, corporate offices, or consulting firms
Industry UsageResearch, academia, machine learning, data scienceBusiness intelligence, marketing, finance, operations
Search & Comparison IntentUnderstanding entry-level roles involving linear algebra conceptsComparing roles in data analysis and related fields

Internship Linear Algebra typically involves foundational work in linear algebra concepts within academic or research environments, often as a stepping stone for further studies or careers in data science. Data Analysts focus on interpreting data to inform business decisions, requiring additional skills in statistics and data visualization. While both roles involve data and mathematical skills, their work environments and career paths differ significantly.

What is an Internship in Linear Algebra?

An Internship in Linear Algebra is a temporary position, typically for students or recent graduates, that provides hands-on experience applying linear algebra concepts in real-world settings. Interns may work on projects involving data analysis, machine learning, scientific computing, or engineering tasks that require knowledge of vectors, matrices, and linear transformations. These internships help individuals gain practical skills, build their resume, and explore career opportunities in fields that value mathematical and analytical abilities.

What are the key skills and qualifications needed to thrive as an Internship Linear Algebra, and why are they important?

To thrive in a Linear Algebra internship, you need a solid grasp of linear algebra concepts, mathematical problem-solving abilities, and often enrollment in or completion of a relevant degree program. Familiarity with technical tools such as MATLAB, Python (with libraries like NumPy), or Mathematica, as well as experience with data analysis software, is often expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret results and collaborate with team members. These skills are essential for applying mathematical concepts to real-world problems and contributing meaningfully to research or projects.

What kinds of projects or tasks are typically assigned to interns specializing in Linear Algebra?

Interns focusing on Linear Algebra often work on tasks that involve applying mathematical concepts to real-world problems, such as data analysis, algorithm development, or simulation modeling. You may be asked to assist with optimizing machine learning models, performing matrix computations, or supporting research teams by developing code for numerical experiments. Collaboration with data scientists, engineers, and senior mathematicians is common, providing opportunities to learn from experienced professionals. These experiences give interns valuable exposure to both theoretical and applied aspects of linear algebra in a professional setting.
More about Internship Linear Algebra jobs
What cities are hiring for Internship Linear Algebra jobs? Cities with the most Internship Linear Algebra job openings:
What are the most commonly searched types of Linear Algebra jobs? The most popular types of Linear Algebra jobs are:
What states have the most Internship Linear Algebra jobs? States with the most job openings for Internship Linear Algebra jobs include:
What job categories do people searching Internship Linear Algebra jobs look for? The top searched job categories for Internship Linear Algebra jobs are:
Internship Linear Algebra jobs near you
Infographic showing various Internship Linear Algebra job openings in the United States as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 65% Physical, and 35% Remote job distribution.

New Grad Full-Time Quantitative Researcher

WallStreetQuants

New York, NY

Full-time

Posted 16 days ago

Job description

About the Role

An NYC based hedge fund is seeking a highly motivated and intellectually curious New Grad Quantitative Researcher to join the team full time. This role is ideal for recent graduates who enjoy solving complex problems using mathematics, statistics, programming, and data-driven analysis.

As a Quantitative Researcher, you will work at the intersection of financial markets, statistical modeling, and technology. You will collaborate with traders, developers, and other researchers to identify patterns in market data, develop predictive models, test trading hypotheses, and support the creation of quantitative strategies.

This is an excellent opportunity for a new graduate who is analytical, creative, and excited to apply rigorous research methods to real-world financial markets.

Requirements

Responsibilities
  • Conduct quantitative research to identify signals, patterns, and inefficiencies in financial markets.
  • Analyze large and complex datasets, including market data, alternative data, and time-series data.
  • Develop, test, and refine statistical models, predictive signals, and trading strategies.
  • Design and run backtests, simulations, and experiments to evaluate research ideas.
  • Collaborate with traders and developers to translate research findings into production-ready tools and strategies.
  • Monitor model performance and contribute to ongoing strategy improvement.
  • Apply techniques from statistics, machine learning, optimization, probability, and econometrics to solve trading-related problems.
  • Present research findings clearly to technical and non-technical stakeholders.
  • Stay current on market behavior, quantitative methods, and emerging research relevant to trading and investing.
Qualifications
  • Recent graduate or upcoming graduate from a Bachelor's, Master's, PhD, or equivalent program.
  • Degree or strong demonstrated experience in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, Data Science, Operations Research, or a related discipline.
  • Strong foundation in probability, statistics, linear algebra, optimization, or machine learning.
  • Programming experience in Python, R, C++, Java, Julia, MATLAB, or a similar language.
  • Experience working with data through coursework, research, internships, projects, or independent study.
  • Strong analytical thinking, problem-solving ability, and attention to detail.
  • Ability to communicate complex ideas clearly and work collaboratively across teams.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
Preferred Qualifications
  • Research, internship, or project experience involving statistical modeling, machine learning, time-series analysis, forecasting, optimization, or quantitative finance.
  • Experience with Python data science libraries such as pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, or statsmodels.
  • Familiarity with SQL, large-scale data processing, cloud tools, or distributed computing.
  • Exposure to financial instruments such as equities, futures, options, fixed income, FX, commodities, or digital assets.
  • Experience with backtesting, simulation, portfolio construction, or risk modeling.
  • Participation in math competitions, programming competitions, research publications, Kaggle, hackathons, trading competitions, poker, chess, or other analytical competitions.

Benefits

What We Offer
  • Full-time role designed for new graduates.
  • Structured training and mentorship from experienced quantitative researchers, traders, and engineers.
  • Opportunity to work on impactful research used in real-time trading and investment decisions.
  • Exposure to financial markets, strategy development, data science, and trading infrastructure.
  • A collaborative, intellectually rigorous environment where research quality and strong ideas are valued.
  • Early ownership of meaningful research projects.
  • Competitive compensation and benefits.

Apply