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Remote Machine Learning Quant Jobs in Toronto, ON

Qfin

Data Scientist

Toronto, ON · On-site +1

... related quantitative field. * 5-7 years of experience in credit risk modeling within a lending ... Strong expertise in statistical modeling, machine learning, and predictive analytics (e.g ...

New

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... quantitative background and coursework in or working knowledge of linear algebra, calculus, and ...

MCKESSON

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Data Science, or a related quantitative field. * 7-10+ years of experience in data science or advanced analytics, with ...

Epistemix

Data Scientist

Toronto, ON · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Mercor

Network Specialist - Fully Remote

Toronto, ON · Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Accenture

AI Architect, Manager

Toronto, ON · Remote

D. in a quantitative field such as computer science, applied mathematics, statistics or machine learning - or an equivalent combination of education and experience. You're likely to be a MSFT ...

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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 popular job titles related to Remote Machine Learning Quant jobs in Toronto, ON? For Remote Machine Learning Quant jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Quant jobs in Toronto, ON look for? The top searched job categories for Remote Machine Learning Quant jobs in Toronto, ON are:
Remote Machine Learning Quant jobs near you

Director of Engineering

Intuition Machines, Inc.

Toronto, ON • Remote

Full-time

Posted 6 days ago

Job description

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration.


Our Engineering Directors are highly technical: you will need to be a domain expert in one or more areas of distributed systems, online security, and machine learning. Responsibilities include building and leading teams ensuring engineers are productive, and shipping what our customers need while maintaining high code quality, security, and service availability standards.


Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines.


What you’ll do:
  • Recruit, motivate, lead, and manage highly technical teams focused on delivering online security and machine learning products at scale.
  • Act as a liaison between product, engineering, customers, and sales to articulate and translate both complex business requirements and technology solutions into useful products.
  • Maintain a high level of assurance and software quality standards while maintaining development velocity: availability is core to nearly every requirement.
  • Define, drive and govern automation and instrumentation to ensure we maintain high observability and automate break-fix as much as possible.
  • In partnership with sales and product teams, model go-to-market strategies for new offerings, oversee architecture, boost client acquisition capabilities, and improve delivery.
  • Put in place effective hiring and onboarding strategies.

What we’re looking for:
  • Minimum of 5 years of hands-on experience leading engineering teams of 20-60 people with a strong background in security products and machine learning.
  • Familiarity with high availability and high security development processes, supported by strong knowledge of Python, NodeJS, and Go or Rust.
  • Experience and demonstrated success with DevOps/systems integration, lightweight development practices, meeting strong SLAs, test-driven design in large scale internet-facing systems.
  • Familiarity with distributed systems design on orchestration platforms like Kubernetes: queue-first architectures, sharding, etc.
  • Strong interpersonal skills, ability to communicate effectively with both technical and non-technical audiences.
  • Demonstrated architecture and business/product need mapping expertise (gather requirements, problem solve, and reason about the best way forward given needs, timeline, and available resources).

What we offer:
  • Fully remote position with flexible working hours.
  • An inspiring team of colleagues spread all over the world.
  • Pleasant, modern development and deployment workflows: ship early, ship often.
  • High impact: lots of users, happy customers, high growth, and cutting edge R&D.
  • Flat organization, direct interaction with customer teams.

We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. Join us as we transform cybersecurity, user privacy, and machine learning online!

Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.