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Internship Machine Learning Quant Jobs in Princeton, NJ

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... You will work closely with quants and engineers alike and will play a central role in shaping how ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored ...

Point72

Quantitative Researcher Intern

New York, NY

$120K - $180K/yr

... machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative researcher interns ...

Point72

Quantitative Researcher Intern

New York, NY · On-site

$120K - $180K/yr

... machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative researcher interns ...

Bloomberg LP

Product Manager - Enterprise Data

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... in the machine learning/quantitative trading domain, along with some programming and data ... The Company does not provide benefits directly to contingent workers/contractors and interns.

New

Point72

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

... machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative developer interns ...

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

... machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative developer interns ...

Nvidia

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Master's degree or PhD in Mathematics, Statistics, Machine Learning or related quantitative field (or equivalent experience). * 8+ years experience applying Machine Learning to operational systems.

Man Group

Principal Quant

New York, NY

Experience with Machine Learning techniques is a plus * PhD or exceptional Masters / Bachelors ... quantitative subject * Expertise in Python and Linux environments * Comfortable proficiency in C ...

RunSybil

Machine Learning Engineer

New York, NY · On-site

MS or PhD in a quantitative discipline is nice but certainly not required - strong bias for ... Understanding of both modern and classic machine learning techniques * Equally comfortable with ...

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Showing results 21-40

All JobsMachine Learning Quant JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Princeton, NJ

Internship Machine Learning Quant information

See Princeton, NJ salary details

$26.7K

$44.6K

$92.2K

How much do internship machine learning quant jobs pay per year?

As of Aug 14, 2026, the average yearly pay for internship machine learning quant in Princeton, NJ is $44,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $48,200.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are popular job titles related to Internship Machine Learning Quant jobs in Princeton, NJ?

For Internship Machine Learning Quant jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Quant jobs in Princeton, NJ look for?

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Cities near Princeton, NJ with the most Internship Machine Learning Quant job openings:

Internship Machine Learning Quant jobs near you
Infographic showing various Internship Machine Learning Quant job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,639 per year, or $21.5 per hour.

Machine Learning Engineer

Virtu Financial

New York, NY • On-site

$200K - $300K/yr

Full-time

Re-posted 6 days ago

Job description

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our quantitative researchers. This is a unique opportunity to work at the intersection of machine learning and systematic trading - building tools that directly determine how fast our researchers can move, and how effectively our GPU cluster translates into research output.
In this role, you will be responsible for the development of our ML research platform: the systems that manage data and compute, track experiments, and enable researchers to go from idea to result as efficiently as possible. You will work closely with quants and engineers alike and will play a central role in shaping how ML is done at the firm as we scale our capabilities. We mostly use Python, C++ and Java with a variety of open-source tools along with proprietary solutions.
THE ROLE
  • Design and build experiment tracking, job orchestration, and reproducibility infrastructure so researchers can iterate quickly, compare runs reliably, and recover from failures without losing work
  • Create tools for all stages of the simulation lifecycle including historical back-tests and production monitoring. Add new features to our simulators
  • Own visibility into GPU cluster utilization - track allocation, surface bottlenecks, and ensure our compute investment is being used effectively
  • Diagnose and resolve performance issues across training pipelines: data loading throughput, storage I/O, GPU utilization, and inter-node communication in distributed training runs
  • Build and maintain data pipelines that move financial data from storage into training workflows efficiently, with strong guarantees on correctness and versioning
  • Develop feature storage and retrieval patterns that support fast, reproducible access to training data at scale
  • Work directly with researchers to understand friction in their workflows, and build solutions that reduce it - from tooling improvements to infrastructure changes
  • Collaborate with existing infrastructure engineers on capacity planning, cloud/on-prem tradeoffs, and tooling decisions - this is a collaborative environment, not a siloed one
  • Stay current with developments in ML infrastructure tooling and bring relevant ideas and tools into our stack where they create genuine value

THE CANDIDATE
  • 5+ years of experience in ML engineering, research infrastructure, or HPC environments
  • Strong Python engineering skills - you write clean, maintainable, well-tested code that other engineers want to build on. Exposure to C++ in a performance-sensitive context is a plus
  • Experience building or operating distributed training infrastructure, with working knowledge of how collective communication libraries (NCCL, Horovod, or similar) behave at scale
  • Practical experience with experiment tracking systems and strong opinions about what good research infrastructure looks like
  • Comfort working across the Linux systems stack - storage, networking, job scheduling - enough to follow a problem wherever it leads
  • Excellent communication skills and the ability to work closely with researchers and engineers across disciplines
  • Intellectually curious and self-driven - you proactively identify problems worth solving, not just problems you've been asked to solve

DESIRED, BUT NOT REQUIRED
  • Experience with on-prem compute environments and job orchestration tools such as Slurm
  • Familiarity with GPU profiling tools (NSight Systems, PyTorch Profiler) and hands-on experience optimizing GPU memory or compute utilization
  • Experience with columnar data formats and high-performance data processing tools such as Parquet, Arrow, and Polars
  • Familiarity with workflow orchestration tools (Prefect, Dagster, or similar)
  • Prior experience in environments with high-stakes, time-series data at scale. Open to Quantitative Finance, Algorithmic Trading, and Other
  • Experience contributing to or extending open-source ML frameworks or infrastructure tooling

Salary Range: $200,000 - $300,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)
Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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