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Entry Level Machine Learning Quant Jobs (NOW HIRING)

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Strong analytical and quantitative problem-solving ability. * Proficient in one or more programming languages such as Python, Java * Strong understanding and working knowledge of distributed systems ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

Fastenal Company

Entry-Level Machinist

Wallingford, CT · On-site

$16.25 - $19.75/hr

Entry-Level Machinist 61 Barnes Industrial Park North, Wallingford, CT 06492 CT180 Manufacturing ... Learning machine operation and capabilities of multiple machines o Running multiple pieces of ...

Poly Flow LLC

Be Seen First

Entry Level Machine Operator - Graveyard Shift

Portland, OR · On-site

$20 - $23/hr

Poly-flow is looking for an entry level Machine Operator to join our overnight Braid shop ... Ability and interest in learning how to operate and maintain machinery, prior experience not ...

AJ Rose

1st shift Machine Operator, Weld & Assembly

Avon, OH · On-site

$17.07 - $21.66/hr

Pay: $17.07 - $21.66 per hour Kickstart Your Manufacturing Career! Entry-Level Machine Operator ... Enjoys learning new equipment * Takes pride in quality work Apply today and start building a career ...

CNN

Machine Learning Engineer I

Atlanta, GA · On-site

... quantitative field • 1+ years of professional experience building and deploying machine learning ... systems in production environments • Strong Python programming skills and experience with machine ...

Evolve Group

Machine Learning Researcher

Manhattan, NY · On-site

GREENFIELD AI LAB - Machine Learning Research Engineer NYC/Chicago · Quantitative Trading · Full-time Greenfield AI initiative at a globally-respected trading firm. You'll work directly on systems ...

Reddit

Machine Learning Engineer

San Francisco, CA · On-site +1

$187K - $260K/yr

Master's degree in Computer Science, Mathematics, Engineering (any field) or related quantitative ... Special Skill Requirements: 1.) Machine Learning; 2.) TensorFlow; 3.) Python and SQL; 4.) Feature ...

Ditron, Inc.

Entry Level - Machine Operator

Stormville, NY · On-site

$16 - $20/hr

Description As a Production Press Operator, you will support Bruderer stamping machines to ensure ... Applied Learning - Ability to participate in needed learning activities in a way that makes the ...

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Entry Level Machine Learning Quant information

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How much do entry level machine learning quant jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for entry level machine learning quant in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically require specialized skills and often a degree, but some freelance data science or AI consulting jobs can pay $4,000 a week with strong expertise and a solid portfolio. High-paying roles without formal degrees usually involve self-taught skills, certifications, or experience in programming, data analysis, or AI tools, often in freelance or contract work environments.

What engineer makes $500,000 a year?

Highly experienced machine learning engineers or data scientists working in finance, technology, or hedge funds can earn $500,000 or more annually, especially with bonuses and stock options. These roles typically require advanced skills in algorithms, programming, and data analysis, along with significant industry experience and often advanced degrees.

What is the difference between Entry Level Machine Learning Quant vs Entry Level Data Scientist?

AspectEntry Level Machine Learning QuantEntry Level Data Scientist
Required CredentialsBachelor's in CS, Math, or related; some roles prefer internshipsBachelor's in CS, Stats, or related; often includes certifications
Work EnvironmentFinancial firms, hedge funds, trading firmsTech companies, finance, healthcare, consulting
Employer & Industry UsageFinance, quantitative trading, hedge fundsVarious industries including tech, finance, healthcare
Common Search & Comparison IntentUnderstanding roles in finance and quant tradingExploring data analysis and modeling careers

Entry Level Machine Learning Quants focus on applying machine learning techniques to financial data, often within trading firms and hedge funds. Entry Level Data Scientists work across diverse industries, analyzing data to inform business decisions. While both roles require programming and statistical skills, Quants typically have a finance focus, whereas Data Scientists have broader industry applications.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in large tech companies or finance firms. These positions usually require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and sometimes specialized certifications. Compensation at this level reflects leadership responsibilities, technical expertise, and the impact of AI solutions on business outcomes.

Do entry level machine learning jobs exist?

Yes, entry-level machine learning roles are available for candidates with foundational skills in programming, statistics, and data analysis. These positions often require knowledge of tools like Python, TensorFlow, or scikit-learn and may involve internships or junior data scientist roles to gain experience in the field.
More about Entry Level Machine Learning Quant jobs
What cities are hiring for Entry Level Machine Learning Quant jobs? Cities with the most Entry Level Machine Learning Quant job openings:
What are the most commonly searched types of Machine Learning Quant jobs? The most popular types of Machine Learning Quant jobs are:
What job categories do people searching Entry Level Machine Learning Quant jobs look for? The top searched job categories for Entry Level Machine Learning Quant jobs are:
Entry Level Machine Learning Quant jobs near you
Infographic showing various Entry Level Machine Learning Quant job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
Machine Learning Researcher

Machine Learning Researcher

Virtu Financial

New York, NY • On-site

$200K - $300K/yr

Full-time

Re-posted 16 days ago

Job description

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets.
As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. This role offers the rare combination of intellectual challenge and direct business impact. You'll tackle complex problems without obvious solutions, taking ownership of our entire modeling ecosystem-from feature engineering and deep learning architecture design to training dynamics and execution strategy. Your innovations will directly influence how we operate in markets globally, making a tangible difference in a field that demands constant evolution, creative problem-solving, and first-principles thinking.
A sense of curiosity, strong technical skillset, and collaborative mentality make you a good fit for this position, regardless of what industry you come from.
The Role
  • Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus
  • Results oriented mindset with a focus on developing deep learning models that directly impact P&L
  • Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges
  • Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating novel architectures in Python/PyTorch/TensorFlow to solve challenging market problems
  • Apply logical and mathematical reasoning to translate cutting-edge research methods between application areas. Adapt techniques from your area of expertise to achieve breakthrough results in the financial markets
  • Partner with quantitative traders, researchers, and developers across teams to transform market insights into actionable data features and predictive models

The Candidate
  • Minimum 2 years of applied experience developing deep learning solutions across diverse fields
  • Proven capability in applying machine learning methodologies between different problem domains and application areas
  • Strong production mindset with emphasis on delivering solutions that create bottom-line value and tangible business outcomes
  • Proficient in rapid prototyping and iterative development using Python and contemporary deep learning frameworks
  • Advanced programming expertise in areas such as core PyTorch/JAX framework development. Exposure to C++ in production environments is a plus
  • Comfortable partnering with other researchers, developers, and traders and working on cross-functional projects in a collaborative environment

Salary Range: $200,000 - $300,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)
Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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