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Overnight Machine Learning Quant Jobs in Durham, NC

Apply sophisticated calculus and quantitative methodologies to problem-solving tasks * Ensure ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

... quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or machine learning model development * Experience in using open-source ...

... quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or machine learning model development * Experience in using open-source ...

... quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or machine learning model development * Experience in using open-source ...

... Intelligence/Machine Learning (AI/ML) techniques, etc. * Demonstrated ability to contribute to ... Masters in quantitative discipline * Experience in financial services or consulting industry

Showing results 21-40

Overnight Machine Learning Quant information

See Durham, NC salary details

$50.7K

$115.2K

$189.9K

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

As of Aug 12, 2026, the average yearly pay for overnight machine learning quant in Durham, NC is $115,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $147,400.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Machine Learning Quant vs Quantitative Researcher?

AspectOvernight Machine Learning QuantQuantitative Researcher
CredentialsAdvanced degrees in CS, Math, or Stats; programming skillsSimilar; advanced degrees often required
Work EnvironmentFinancial firms, hedge funds, trading desks; fast-paced, data-drivenFinancial institutions, research labs; analytical, research-focused
Industry UsageHigh-frequency trading, algorithmic strategiesMarket analysis, model development
Work HoursOvernight shifts aligned with trading hoursStandard business hours, flexible in some cases

While both roles involve quantitative analysis and programming, Overnight Machine Learning Quants focus on developing models for overnight trading strategies, often working overnight shifts. Quantitative Researchers typically conduct broader market research and model development during regular hours. The roles overlap in skills but differ mainly in work hours and specific application areas.

What are the most commonly searched types of Machine Learning Quant jobs in Durham, NC? The most popular types of Machine Learning Quant jobs in Durham, NC are:

Domain Expert - (STEM PhD)

micro1 AI

Raleigh, NC • Remote

$80 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions