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Overnight Machine Learning Finance Jobs (NOW HIRING)

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 ... Build and maintain data pipelines that move financial data from storage into training workflows ...

Virtu Financial

Machine Learning Engineer

New York, NY

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Build and maintain data pipelines that move financial data from storage into training workflows ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... finance, infrastructure) Nice to Have * Experience deploying LLMs in production environments

Virtu Financial

Machine Learning Researcher

New York, NY

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... Adapt techniques from your area of expertise to achieve breakthrough results in the financial ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology ... Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

Machine learning experience using visual data * Understanding of a variety of machine learning ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Machine Learning Engineer

Clifton Park, NY

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Kitware

Machine Learning Engineer

Clifton Park, NY

Machine learning experience using visual data * Understanding of a variety of machine learning ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology ... Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ...

LVT

Machine Learning Engineer

Seattle, WA · On-site

$150.50K - $208K/yr

Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky ... About This Role As a Machine Learning Engineer, you will play a critical role on a team of ...

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Overnight Machine Learning Finance information

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How much do overnight machine learning finance jobs pay per year?

As of May 29, 2026, the average yearly pay for overnight machine learning finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning Finance jobs? The most popular types of Machine Learning Finance jobs are:
Overnight Machine Learning Finance jobs near you
Machine Learning Engineer

Machine Learning Engineer

Virtu Financial

New York, NY • On-site

$200K - $300K/yr

Full-time

Posted 19 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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