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Overnight Machine Learning Finance Jobs (NOW HIRING)

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

Job Number: R0246351 Machine Learning Engineer The Opportunity: As a programmer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

New

Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

New

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... financial data). * Collaborate with R&D to prototype autonomous resolution agents, anomaly ...

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

Mclean, VA · On-site

$105K - $115K/yr

As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and technology teams to help clinical, operational, and financial partners solve advanced analytical problems.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Showing results 41-60

Overnight Machine Learning Finance information

See salary details

$25K

$92.6K

$135.5K

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

As of Aug 20, 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 cities are hiring for Overnight Machine Learning Finance jobs?

Cities with the most Overnight 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 Overnight Machine Learning Finance jobs?

States with the most job openings for Overnight Machine Learning Finance jobs include:

Machine Learning Researcher - Intern

Point72

New York, NY • On-site

Internship

Re-posted 14 days ago


Job description


Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.
Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
DESIRABLE CANDIDATES
  • Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field.
  • Superb analytical and quantitative skills, along with a healthy streak of creativity.
  • Demonstrated ability to conduct independent research utilizing large data sets.
  • Passion for seeing research through from initial conception to eventual application.
  • Curiosity about financial markets
  • Strong scientific programming in Python, R or Matlab.
  • Empirical, detail-oriented mindset.
  • Sense of ownership of his/her work, working well both independently and within a small collaborative team.

We're looking for exceptional colleagues with unparalleled passion. If you'd like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you've worked outside of school, or as part of your curriculum. If you're proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we'd love to learn more about what excites you.