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Overnight Machine Learning Quant Jobs in Cambridge, MA

CarGurus

Senior Data Scientist

Boston, MA · On-site

Advanced degree (or proven experience) in Computer Science, Data Science, Mathematics, or any quantitative science which makes use of advanced data analytics or statistical or machine learning ...

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

... machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

... machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics ...

CFA Institute

Quantitative Trading Analyst

Boston, MA · On-site

$90 - $180/hr

Quantitative Trading Research Conduct empirical research on trading behavior, market microstructure ... Interest in applying machine learning, natural language processing, or modern AI techniques to ...

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All JobsMachine Learning Quant JobsOvernight Machine Learning Quant JobsOvernight Machine Learning Quant Jobs in Cambridge, MA

Overnight Machine Learning Quant information

See Cambridge, MA salary details

$57.4K

$130.2K

$214.8K

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

As of Sep 6, 2026, the average yearly pay for overnight machine learning quant in Cambridge, MA is $130,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $166,700.00 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 Cambridge, MA?

The most popular types of Machine Learning Quant jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Overnight Machine Learning Quant jobs?

Cities near Cambridge, MA with the most Overnight Machine Learning Quant job openings:

Overnight Machine Learning Quant jobs near you

Senior Data Scientist

CarGurus

Boston, MA • On-site

Full-time

Re-posted 25 days ago

Job description

Role overview

As a member of the Data Science team with a focus on CarGurus's international products, the Senior Data Scientist, International will be responsible for implementing, training and testing machine learning models in support of CarGurus's fastest growing markets in the UK and Canada. Potential areas of support and ownership include Search Ranking, Recommendations, and Instant Market Value algorithms.

What you'll do

  • Partner with product and engineering teams in CarGurus UK and Canada to understand their product requirements and data assets
  • Implement, train, and evaluate machine learning models using Python and AWS SageMaker.
  • Develop and maintain data pipelines to supply training and inference data for models, using SQL and Snowflake.
  • Collaborate with engineers to deploy models to production
  • Evaluate performance of production-deployed models
  • Design A/B tests of the Data Science team's models and analyze their results
  • Communicate solutions to stakeholders through written documentation, demos and presentations, and data visualizations
  • Collaborate with other data scientists, machine learning engineers, and business stakeholders to scope, design, and implement machine learning projects

What you'll bring

  • Curiosity about widely varied datasets and their possibilities for unlocking customer value. Self-motivated to perform exploratory analyses and build proof-of-concept solutions.
  • Proven experience turning data into successful products
  • Knowledge of standard Machine Learning techniques for supervised and unsupervised learning across structured and unstructured datasets. Comprehensive knowledge of, and real-world experience with, measurement, evaluation, and testing of models.
  • Experience deploying and/or maintaining machine learning services in production
  • Proficiency in Python or similar languages widely used in the data science community
  • Proficiency in SQL
  • Ability to communicate technical details and analytical findings to both technical and non-technical audiences
  • Advanced degree (or proven experience) in Computer Science, Data Science, Mathematics, or any quantitative science which makes use of advanced data analytics or statistical or machine learning techniques

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