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Entry Level Machine Learning Quant Jobs (NOW HIRING)

Drawbridge

Entry Level Machine Operator

Golden, CO · On-site

$16.75 - $20.50/hr

Job Title Entry Level Machine Operator Job Summary We are hiring Entry Level Machine Operators to ... learning valuable skills in machine operation, quality control, and industrial processes. Key ...

Drawbridge

Entry Level Machine Operator

Golden, CO

$16.75 - $20.50/hr

Job Title Entry Level Machine Operator Job Summary We are hiring Entry Level Machine Operators to ... learning valuable skills in machine operation, quality control, and industrial processes. Key ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ... quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research ...

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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 31, 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 87% Full Time, 10% Part Time, 1% Temporary, and 2% 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 Engineer

Anson McCade

Manhattan, NY • On-site

$200K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

$200,000 - 2,000,000 USD
Onsite WORKING
Location: New York, New York - United States Type: Permanent
ML Researcher / ML Engineer
I am working with one of the world's leading quantitative trading firms, recognised for combining cutting-edge technology, quantitative research, and machine learning to solve some of the most complex challenges in global financial markets. Renowned for its research-driven culture and engineering excellence, the firm continues to make significant investments in next-generation machine learning capabilities that directly enhance trading performance and business outcomes.
As part of the continued expansion of its Machine Learning platform, the firm is looking to hire exceptional Machine Learning Researchers and Machine Learning Engineers to join several high-performing teams working across large-scale machine learning, deep learning, distributed systems, and production ML infrastructure.
The Opportunity
This is an opportunity to work alongside some of the industry's leading researchers and engineers, developing advanced AI models and production-scale machine learning systems that are deployed directly into live trading environments.
Depending on your experience and interests, you may focus on areas including:
  • Large Language Models (LLMs)
  • Foundation model training and optimisation
  • Agentic AI systems
  • Applied machine learning research
  • Model evaluation and post-training optimisation
  • Distributed systems and AI infrastructure
You'll tackle challenging mathematical and engineering problems while building scalable, production-ready AI solutions in a highly collaborative and research-driven environment.
Requirements
Successful candidates will typically possess:
  • Strong experience in Machine Learning, Deep Learning, Large Language Models, AI Infrastructure, or Distributed Systems
  • Excellent programming skills in Python and/or C++
  • Experience developing and deploying production-grade machine learning systems
  • A strong mathematical foundation and exceptional problem-solving ability
  • A passion for solving technically demanding challenges in a fast-paced environment
Why Join?
This firm offers the opportunity to work on some of the most advanced AI and machine learning challenges in the financial industry, alongside world-class researchers, engineers, and quantitative professionals.
The compensation package is exceptionally competitive, with top performers receiving industry-leading total compensation, complemented by outstanding career progression, access to cutting-edge technology, and the opportunity to make a direct impact on live trading systems from day one.

Apply