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Temporary Machine Learning Finance Jobs (NOW HIRING)

Machine Learning Researcher

New York, NY · On-site

$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 ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... If you've never thought about a career in finance, you're in good company. Many of us were in the ...

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 ...

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 ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... If you've never thought about a career in finance, you're in good company. Many of us were in the ...

... machine learning. We are in particular looking for current or recently graduated PhD students in ... finance, or operations research. Candidates should bring some relevant research experience ...

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

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 ...

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 ...

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Temporary Machine Learning Finance information

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$25K

$92.6K

$135.5K

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

As of Jul 12, 2026, the average yearly pay for temporary 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 cities are hiring for Temporary Machine Learning Finance jobs? Cities with the most Temporary Machine Learning Finance job openings:
What are the most commonly searched types of Machine Learning Finance jobs? The most popular types of Machine Learning Finance jobs are:
What states have the most Temporary Machine Learning Finance jobs? States with the most job openings for Temporary Machine Learning Finance jobs include:
Machine Learning Researcher

Machine Learning Researcher

Virtu Financial

New York, NY • On-site

$200K - $300K/yr

Full-time

Posted 17 days ago


Job description

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets.
As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. This role offers the rare combination of intellectual challenge and direct business impact. You'll tackle complex problems without obvious solutions, taking ownership of our entire modeling ecosystem-from feature engineering and deep learning architecture design to training dynamics and execution strategy. Your innovations will directly influence how we operate in markets globally, making a tangible difference in a field that demands constant evolution, creative problem-solving, and first-principles thinking.
A sense of curiosity, strong technical skillset, and collaborative mentality make you a good fit for this position, regardless of what industry you come from.
The Role
  • Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus
  • Results oriented mindset with a focus on developing deep learning models that directly impact P&L
  • Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges
  • Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating novel architectures in Python/PyTorch/TensorFlow to solve challenging market problems
  • Apply logical and mathematical reasoning to translate cutting-edge research methods between application areas. Adapt techniques from your area of expertise to achieve breakthrough results in the financial markets
  • Partner with quantitative traders, researchers, and developers across teams to transform market insights into actionable data features and predictive models

The Candidate
  • Minimum 2 years of applied experience developing deep learning solutions across diverse fields
  • Proven capability in applying machine learning methodologies between different problem domains and application areas
  • Strong production mindset with emphasis on delivering solutions that create bottom-line value and tangible business outcomes
  • Proficient in rapid prototyping and iterative development using Python and contemporary deep learning frameworks
  • Advanced programming expertise in areas such as core PyTorch/JAX framework development. Exposure to C++ in production environments is a plus
  • Comfortable partnering with other researchers, developers, and traders and working on cross-functional projects in a collaborative environment

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.