We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology.
We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology.
... and quantitative problem-solving ability. - Strong background and experience in using R, SAS ... MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING
... and quantitative problem-solving ability. - Strong background and experience in using R, SAS ... MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING
Centurion is seeking a Machine Learning Engineer to join their team onsite in Arlington, VA ... Builds and validates the quantitative models that translate organizational workload drivers into ...
Centurion is seeking a Machine Learning Engineer to join their team onsite in Arlington, VA ... Builds and validates the quantitative models that translate organizational workload drivers into ...
Quantitative Researcher, Machine Learning - Work From Home We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts. You will work in a ...
Quantitative Researcher, Machine Learning - Work From Home We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts. You will work in a ...
Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the ... Familiarity with quantitative investing, portfolio construction, or risk management * Experience ...
Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the ... Familiarity with quantitative investing, portfolio construction, or risk management * Experience ...
Thisdivision offers an array of quantitative investment fund products to its clients. They are ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...
Thisdivision offers an array of quantitative investment fund products to its clients. They are ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...
Machine Learning Engineer
Austin, TX · On-site +1
About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or ...
Quick apply
Machine Learning Engineer
Austin, TX · On-site +1
About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or ...
Machine Learning Engineer Location: South San Francisco, CA - hybrid role in Bay Arear Position ... Physics, or related quantitative field -- OR MS + 3+ years of relevant industry experience.
Quick apply
Machine Learning Engineer Location: South San Francisco, CA - hybrid role in Bay Arear Position ... Physics, or related quantitative field -- OR MS + 3+ years of relevant industry experience.
Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ... Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras * Active Secret ...
Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ... Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras * Active Secret ...
Machine Learning Engineer
Beavercreek, OH · On-site
Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ... Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras * Active Secret ...
Machine Learning Engineer
Beavercreek, OH · On-site
Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ... Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras * Active Secret ...
Machine Learning Engineer
Manhattan, NY · On-site
This division offers an array of quantitative investment fund products to its clients. They are ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...
Machine Learning Engineer
Manhattan, NY · On-site
This division offers an array of quantitative investment fund products to its clients. They are ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...
Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ... Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras * Active Secret ...
Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ... Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras * Active Secret ...
Senior Machine Learning Engineer - Ads Bidding & Pacing
Cupertino, CA · On-site
$151K - $199K/yr
The ability to be a great teammate under tight deadline constraints is key to success. 5+ years of experience building machine learning and quantitative optimization capabilities across many ...
Senior Machine Learning Engineer - Ads Bidding & Pacing
Cupertino, CA · On-site
$151K - $199K/yr
The ability to be a great teammate under tight deadline constraints is key to success. 5+ years of experience building machine learning and quantitative optimization capabilities across many ...
Machine Learning Engineer This position requires that the candidate selected be a US Citizen and ... Experience applying quantitative analysis to solve business problems and making data-driven ...
Machine Learning Engineer This position requires that the candidate selected be a US Citizen and ... Experience applying quantitative analysis to solve business problems and making data-driven ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $280K/yr
About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Familiarity with quantitative investing, portfolio construction, or risk management * Experience ...
Machine Learning Engineer
San Francisco, CA · On-site
$200K - $280K/yr
About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Familiarity with quantitative investing, portfolio construction, or risk management * Experience ...
Machine Learning Engineer
Chicago, IL · On-site
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
Machine Learning Engineer
Chicago, IL · On-site
This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...
Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market ...
Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market ...
Temporary Machine Learning Quant information
See salary details
$52.5K - $65.6K
4% of jobs
$65.6K - $78.7K
17% of jobs
$80.6K is the 25th percentile. Wages below this are outliers.
$78.7K - $91.8K
29% of jobs
$91.8K - $104.9K
0% of jobs
$104.9K - $118K
2% of jobs
$118K - $131K
7% of jobs
$131K - $144.1K
7% of jobs
$151.1K is the 75th percentile. Wages above this are outliers.
$144.1K - $157.2K
16% of jobs
$157.2K - $170.3K
7% of jobs
$170.3K - $183.4K
5% of jobs
$183.4K - $196.5K
5% of jobs
$52.5K
$119.2K
$196.5K
How much do temporary machine learning quant jobs pay per year?
As of Jun 20, 2026, the average yearly pay for temporary machine learning quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.
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Job description
About Cubist
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role/Responsibilities:
We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology.
Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation.
Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features.
Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry.
Requirements:
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.
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role/Responsibilities:
We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology.
Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation.
Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features.
Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry.
Requirements:
- PhD or PhD candidate in machine learning, computer science, statistics, or a related field
- Experience with sequential modeling and time series forecasting using deep learning
- Experience with deep neural networks and representation learning
- Prior experience working in a data driven research environment
- Experience with translating mathematical models and algorithms into code
- Proficient in programming languages such as Python and R
- Experience with machine learning software libraries such as TensorFlow or PyTorch
- Experience with natural language processing technology a strong plus
- Excellent analytical skills, with strong attention to detail
- Interest in applying machine learning to finance
- Collaborative mindset with strong independent research ability
- Strong written and verbal communication skills
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.
About Point72
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
501 - 1,000 Employees
Headquarters location
Stamford, CT, US
Year founded
1992