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Remote Machine Learning Quant Jobs in Plainfield, NJ

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 ...

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 ...

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 ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

iCapital

Quant Engineer - Vice President

New York, NY · On-site +1

$180K - $210K/yr

The team members will implement statistical, machine learning, and quantitative financial models, applied to a combination of proprietary, public, and third-party data, to deliver analytics for multi ...

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All JobsMachine Learning Quant JobsRemote Machine Learning Quant JobsRemote Machine Learning Quant Jobs in Plainfield, NJ

Remote Machine Learning Quant information

See Plainfield, NJ salary details

$11.3K

$133K

$203.1K

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

As of Jun 17, 2026, the average yearly pay for remote machine learning quant in Plainfield, NJ is $133,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $142,100.00 per year, depending on experience, location, and employer.

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 Plainfield, NJ? For Remote Machine Learning Quant jobs in Plainfield, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Quant jobs in Plainfield, NJ look for? The top searched job categories for Remote Machine Learning Quant jobs in Plainfield, NJ are:
What cities near Plainfield, NJ are hiring for Remote Machine Learning Quant jobs? Cities near Plainfield, NJ with the most Remote Machine Learning Quant job openings:
Remote Machine Learning Quant jobs near you
Infographic showing various Remote Machine Learning Quant job openings in Plainfield, NJ as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, 6% Contract, and 1% Nights. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $133,012 per year, or $63.9 per hour.
Quant Researcher

Quant Researcher

Injective Labs

New York, NY • On-site, Remote

Full-time

Medical, PTO

Posted 25 days ago

Job description

About Injective Labs
Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry.
Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective's infrastructure and specialized DeFi primitives such as the world's first fully on-chain order book.
Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban.
About the role
We are looking for a Quantitative Researcher to fit into our existing highly-skilled NY-based quantitative team. As a part of our Quant team you'll be studying the crypto market to find profitable trading opportunities and build automated trading strategies. The ideal candidate would be someone who has experience working with low-latency execution engines, handling real-time market data, and producing strategies that react immediately to market changes. If this sounds like you and you enjoy working in fast paced environments, this role is for you!
Responsibilities:
  • Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities.
  • Apply statistical and machine-learning techniques to generate, validate, and improve trading signals.
  • Design and implement market-making, arbitrage, and systematic strategies end-to-end.
  • Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling.
  • Develop robust backtesting frameworks; conduct performance analysis and attribution.
  • Implement trading system components, including order management and exchange connectivity.
  • Build and operate data pipelines and research platforms for high-quality, reproducible research.
  • Ensure system reliability, scalability, and latency/performance optimization in production.
  • Implement risk monitoring and control systems across strategies and venues.
  • Run post-trade analytics to evaluate execution quality, slippage, and market impact.
  • Develop risk metrics, dashboards, and reporting tools for strategy and portfolio oversight.
  • Run simulations and estimate market impact for both liquid and illiquid assets.

Who you are:
  • M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
  • 3-5 years of quantitative research/analysis or development experience.
  • Experience in HFT development.
  • Strong foundation in probability, statistics, time-series modeling, and quantitative methods.
  • Expert-level Python for research and production; proficiency in C++ or Rust for performance-critical components.
  • Solid grasp of data structures, algorithms, software engineering principles, and version control.
  • Experience with statistical analysis, backtesting methodologies, and strategy development.
  • Ability to create and use algorithms to investigate large datasets and resolve data/logic errors with rigor.
  • Understanding of financial markets, trading concepts, and risk-management principles.

Preferred:
  • Experience with machine-learning frameworks and distributed/parallel computing.
  • Familiarity with Linux development environments and modern DevOps practices.
  • Understanding of cryptocurrency markets, DeFi protocols, and on-chain analytics.
  • Experience with real-time trading systems, low-latency applications, and exchange integrations.
  • Knowledge of blockchain technology, smart-contract fundamentals, and MEV-aware strategies.
  • Professional certifications (e.g., CFA, FRM), prior experience in quantitative trading/fintech, and/or publications in relevant fields.

Why work with us?
  • Competitive salary and INJ token award.
  • Unlimited PTO.
  • Health Insurance.
  • Equipment.
  • Home Office Stipend.
  • Flexible working hours.
  • Opportunity to work on cutting-edge blockchain technology in the finance industry.
  • Collaborative team culture with opportunities for professional growth and development.
  • Global team meet ups.

As an equal opportunity employer we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
We will only contact candidates using emails from the @injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

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