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Remote Machine Learning Quant Jobs in New York (NOW HIRING)

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field * 5 + years experience in Python * 3+ years experience in machine learning research, with a ...

OPTWISE CONSULTING LLC

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Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Machine Learning * Factor Models Mock Interviews Conduct realistic mock interviews including: * Technical interviews * Quant brainteasers * Probability questions * Coding interviews * Behavioral ...

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Machine Learning * Factor Models Mock Interviews Conduct realistic mock interviews including: * Technical interviews * Quant brainteasers * Probability questions * Coding interviews * Behavioral ...

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Design and implement machine learning capabilities that improve Autodesk's customer-facing ...

Harnham

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$220K - $260K/yr

Base pay range $220,000.00/yr - $260,000.00/yr Placing the Top AI and Machine Learning Talent (NYC) Lead Machine Learning Engineer $220,000 - $260,000 + Bonus Remote (NYC preferred, hybrid available ...

Injective Labs

Quant Researcher

New York, NY · On-site +1

As a part of our Quant team you'll be studying the crypto market to find profitable trading ... Apply statistical and machine-learning techniques to generate, validate, and improve trading ...

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

About the Staff Machine Learning Engineer at Headspace: The AI & Machine Learning group at ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

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Remote Machine Learning Quant information

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are the most commonly searched types of Machine Learning Quant jobs in New York? The most popular types of Machine Learning Quant jobs in New York are:
What are popular job titles related to Remote Machine Learning Quant jobs in New York? For Remote Machine Learning Quant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Quant jobs in New York look for? The top searched job categories for Remote Machine Learning Quant jobs in New York are:
What cities in New York are hiring for Remote Machine Learning Quant jobs? Cities in New York with the most Remote Machine Learning Quant job openings:
Remote Machine Learning Quant jobs near you

Machine Learning Research Scientist (Remote)

Moody's Analytics

New York, NY • On-site, Remote

Full-time

Re-posted yesterday

Job description

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody's Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives. The group also regularly publish and present their work in top-tier academic and industry conferences. We have a flexible work environment and allow remote work depending on one's personal choice. 

Broadly, we are looking for colleagues who are passionate about: 

  • Natural language processing 
  • Information retrieval 
  • Information extraction 
  • Graph Neural Networks 
  • Recommender systems 
  • Knowledge graphs 
  • Explainable AI 

 

We'll trust you to: 
 

  • Collaborate with colleagues on production systems and applications 
  • Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace 
  • Work on POCs and research prototypes 
  • Provide thought leadership in machine learning 
  • Represent Moody's Analytics at scientific and industry conferences 
  • Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR 
     

You'll need to have: 

  • Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience. 
  • Publication record in top-tier academic conferences and journals 
  • Proficiency in modern programming languages such as Python 
  • Proficiency in leading research projects 

Nice to have: 

  • Experience with MLOPs technologies and workflows 
  • Experience in working with engineering teams on taking research prototypes to production
Employment Type: FULL_TIME

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