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Overnight Machine Learning Quant Jobs in Cambridge, MA

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

... machine learning techniques -- multivariate regression, clustering analysis (Connectivity based ... DE implementing quantitative strategies and portfolio analytics platforms, using R, Python, MATLAB ...

Fidelity Investments

AM Quantitative Analyst I

Boston, MA

$135K - $175K/yr

... machine learning techniques -- multivariate regression, clustering analysis (Connectivity based ... DE implementing quantitative strategies and portfolio analytics platforms, using R, Python, MATLAB ...

Franklintempleton

Quantitative Analyst (Putnam)

Boston, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Applies natural language processing and machine learning techniques to extract insights from structured and unstructured data to enhance fundamental insights, quantitative signals, and evaluate ...

Franklin Templeton

Quantitative Analyst (Putnam)

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Applies natural language processing and machine learning techniques to extract insights from structured and unstructured data to enhance fundamental insights, quantitative signals, and evaluate ...

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Showing results 21-40

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 Aug 16, 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 Machine Learning Engineer I, Physical Sciences

Lila Sciences

Cambridge, MA • On-site

$133K - $176K/yr

Full-time

Re-posted 12 days ago

Job description

Your Impact at LILA

This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific use cases in materials, chemistry and physical sciences. Your work will advance research efforts on state-of-the-art algorithms to build towards scientific superintelligence across today's greatest challenges in physical sciences.

What You'll Be Building

  • Design, implement, and maintain endtoend ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, monitoring).
  • Productionize models and services with robust testing, observability, and documentation in collaboration with cross-functional software teams and build CI/CD workflows and automated evaluations to ensure safe, frequent releases.
  • Collaborate with domain scientists and platform engineers to translate research insights into performant, scalable systems.
  • Contribute to technical design reviews, coding standards, and mentoring of best practices.

What You'll Need to Succeed

  • BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience.
  • Strong Python software engineering fundamentals (testing, packaging, typing); experience with machine learning frameworks (e.g., PyTorch, Huggingface, etc.).
  • Experience deploying ML services to production in cloud-based infrastructure (FastAPI/GRPC, containers, orchestration, cloud infra).
  • Handson experience with model deployment in production systems (LLMs, multimodal models, databases, RAG) with strong debugging and profiling skills.
  • Clear communication and collaboration in crossfunctional settings.

Bonus Points For

  • Exposure to scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks.
  • GPU optimization experience (CUDA, Triton, compilation, distributed training).
  • Prior contributions to opensource ML or scientific software.
  • Experience with workflow orchestration, data provenance, or largescale compute environments.

Apply