---
title: 'Machine Learning Engineer at Virtu Financial'
canonical: 'https://feeny.ai/job/machine-learning-engineer-virtu-financial-new-york-a7tpavvm4eee'
type: 'job'
last_seen: '2026-10-13'
---

# Machine Learning Engineer at Virtu Financial

- **Company:** Virtu Financial
- **Location:** New York, NY
- **Posted:** 2026-03-10
- **Last confirmed live:** 2026-10-13
- **Apply:** https://job-boards.greenhouse.io/virtu/jobs/8457186002

## 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.

## About Virtu Financial

## Company Overview
- **One-liner**: Virtu Financial is a leading global market maker and financial technology firm that provides liquidity, execution, analytics, and workflow solutions to the world’s financial markets.
- **Entity Type**: Public (NYSE: VIRT)
- **Headquarters**: New York, NY, United States
- **Founded**: 2008
- **Founders**: Vincent Viola

## Core Business
- **Primary Industry**: Financial Services / Financial Technology (Market Making, Trading, Analytics)
- **Target Customers**: B2B – Institutional asset managers, broker-dealers, hedge funds, banks, and other financial intermediaries.
- **Mission/Purpose**: To use technology to create more efficient, transparent markets and provide clients with innovative, transparent trading solutions.

## Products & Services
- **Market Making**: Provides competitive bids and offers in over 25,000 securities across 235+ venues in 37 countries, acting as a liquidity provider to create more efficient markets.
- **Triton EMS**: A global, broker-neutral, multi-asset execution management system that combines Virtu’s liquidity, analytics, and workflow tools into a single interface.
- **Open Technology Platform**: A data-as-a-service solution offering APIs and tools for clients to access Virtu’s market data and analytics.
- **Trading Analytics & TCA**: End-to-end pre-trade, intra-trade, and post-trade analytics, including transaction cost analysis (TCA), outlier monitoring, and peer group data.
- **POSIT Alert**: A global block liquidity indications network for institutional block trading.
- **Execution Services**: Algorithmic trading, direct market access, and broker-neutral execution across equities, fixed income, FX, options, and commodities.
- **Virtu Technology Solutions**: A newly launched offering (2025) that packages Virtu’s technology for external clients.

## Market Standing
- **Valuation/Market Cap**: As a public company, market cap is publicly available on stock exchanges; specific figure not provided in search results.
- **Key Metric (Revenue)**: Adjusted Net Trading Income of $2,145 million in 2025 (per 2025 Annual Report).
- **Key Metric (Profitability)**: Adjusted EBITDA of $1,399 million; 65% adjusted EBITDA margin in 2025.
- **Clients**: Over 2,000 clients, with 1,400+ active; 70% of the largest global institutional asset managers rely on Virtu’s TCA.
- **Notable Investors/Partners**: Silver Lake Partners (minority investment); consortium for RFQ-hub expansion; partnerships with multiple exchanges and venues globally.
- **Growth Signals**: Appointed Aaron Simons as CEO in 2025; launched Virtu Technology Solutions; expanded into new asset classes and markets (e.g., prediction markets, fixed income); named No. 1 Buyside Analytics Provider by Bloomberg; continued headcount growth across global offices.

## Competitive Advantages
- **Scale and Liquidity**: One of the largest market makers globally, trading in over 25,000 securities across 235 venues in 37 countries.
- **Proprietary Technology**: Cutting-edge, low-latency trading infrastructure and analytics platform that is core to all operations.
- **High Margins and Efficiency**: 65% adjusted EBITDA margin demonstrates operational discipline and technological leverage.
- **Integrated Multi-Asset Platform**: Clients can access execution, analytics, data, and workflow tools in a single, broker-neutral environment.
- **Industry Recognition**: Consistently wins awards (e.g., TCA Provider of the Year, Best Market Access) and is a trusted partner to major institutions.

## Strategic Focus
- **Technology Investment**: Continuing to invest in world-class trading infrastructure and new technological advancements.
- **Expansion**: Growing into new asset classes (e.g., fixed income, options, prediction markets) and geographies (e.g., Asia-Pacific, Europe).
- **Client Solutions**: Deepening client relationships by expanding the suite of analytics, data, and execution services.
- **Operational Excellence**: Maintaining financial discipline and a culture of continuous improvement.

## Why Work Here
- **Culture**: Described as a blend of the creativity and speed of a tech startup with the stability and discipline of a financial services firm. Flat, supportive team culture where the brightest ideas win.
- **Work Environment**: Hybrid/office-based depending on role; global offices in New York, Austin, Boston, Chicago, London, Dublin, Singapore, Hong Kong, Sydney, and more.
- **Teams**: Quantitative researchers, software developers, quantitative traders, sales/product specialists, and support teams. Developers work on cutting-edge low-latency systems, machine learning, and high-performance applications.
- **Perks & Development**: 10-week internship program with global training; opportunities to make a real impact on the bottom line; Give Back program with 10,000+ volunteer hours since 2013.
- **Diversity & Inclusion**: VirtuCARES initiative focused on community, awareness, respect, education, and service.

## Sources
1. [Virtu Financial – Official Website](https://www.virtu.com/)
2. [Virtu Financial – Careers Page](https://www.virtu.com/careers/)
3. [Virtu Financial – Greenhouse Job Board](http://job-boards.greenhouse.io/virtu)
4. [Virtu Financial – 2025 Annual Report (SEC Filing)](https://www.sec.gov/Archives/edgar/data/1592386/000110465926051785/tm2612843d2_ars.pdf)
5. [Virtu Financial – Investor FAQs](https://ir.virtu.com/resources/investor-faqs)

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