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Hedge Fund Machine Learning Jobs (NOW HIRING)

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or ...

The Voleon Group

Fund Accountant

Berkeley, CA · On-site +1

$90K - $110K/yr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to ... in hedge fund, public accounting for asset management, or fund administrator * Thorough ...

The Voleon Group

Senior Fund Accountant

$110K - $125K/yr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to ... in hedge fund, public accounting for asset management, or fund administrator * Thorough ...

Domeyard LP

Senior Software Engineer - HFT HEDGE FUND

Boston, MA · On-site

$133K - $175K/yr

Every day is a learning exercise: you will explore the frontiers of computer science, in areas such ... Our firm and culture Domeyard is a hedge fund focused on high frequency trading. Our team consists ...

Domeyard LP

Senior Software Engineer - HFT HEDGE FUND

Boston, MA · On-site

$133K - $175K/yr

Every day is a learning exercise: you will explore the frontiers of computer science, in areas such ... Our firm and culture Domeyard is a hedge fund focused on high frequency trading. Our team consists ...

HedgeServ

Fund Accounting Supervisor

Dallas, TX · Hybrid

... hedge funds and more - to deliver seamless, tech-enabled solutions that drive performance ... Our proprietary platform, enhanced by machine learning and robotic process automation, gives ...

HedgeServ

Fund Accounting Supervisor

Raleigh, NC · Hybrid

... hedge funds and more - to deliver seamless, tech-enabled solutions that drive performance ... Our proprietary platform, enhanced by machine learning and robotic process automation, gives ...

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All JobsHedge Fund Machine Learning Jobs

Hedge Fund Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do hedge fund machine learning jobs pay per year?

As of Jul 17, 2026, the average yearly pay for hedge fund machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

In the context of hedge fund machine learning roles, senior quantitative engineers or machine learning engineers with extensive experience, advanced skills in programming, data analysis, and financial modeling can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and profit-sharing, especially at top-tier firms or in senior positions.

What are the typical projects or challenges a Hedge Fund Machine Learning professional may encounter?

As a Hedge Fund Machine Learning professional, you may work on projects involving the development of predictive models for market movements, portfolio optimization, anomaly detection, or automated trading strategies. Common challenges include sourcing high-quality financial data, managing noisy or incomplete information, and ensuring that models remain robust in dynamic market conditions. Additionally, you will often collaborate with portfolio managers, data engineers, and other quant researchers to translate model insights into actionable investment strategies. Overcoming these challenges requires both technical expertise and adaptability, offering significant opportunities for career growth and impact within the fund.

Which 5 jobs will survive AI?

In the context of hedge fund machine learning, roles such as quantitative analysts, data scientists, machine learning engineers, risk managers, and compliance specialists are likely to persist as they require complex judgment, domain expertise, and interpretative skills that are difficult for AI to fully replicate. These jobs involve designing models, interpreting results, and making strategic decisions that complement AI tools. Continuous learning and proficiency with programming languages like Python and tools such as TensorFlow enhance job security in this field.

Do hedge funds use machine learning?

Hedge fund machine learning roles involve applying algorithms and statistical models to analyze financial data and inform trading strategies. Professionals in this field often use programming languages like Python or R and have strong quantitative skills. Machine learning is increasingly integrated into hedge fund operations to improve predictive accuracy and automate decision-making.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying role in artificial intelligence, such as a senior machine learning engineer or AI research director, often found in finance or technology firms. These positions usually require advanced skills in machine learning, data analysis, and programming, along with significant experience and sometimes advanced degrees. In the context of hedge funds, such roles involve developing algorithms and models to inform investment strategies.

What are the key skills and qualifications needed to thrive in the Hedge Fund Machine Learning position, and why are they important?

To thrive in a Hedge Fund Machine Learning role, you need a strong background in quantitative analysis, statistics, programming (often in Python or R), and machine learning, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with data analysis libraries (like pandas, NumPy), machine learning frameworks (such as TensorFlow or scikit-learn), and experience with financial data sets or platforms is highly valuable. Effective communication, collaboration, and a strong problem-solving mindset are crucial soft skills in this role. These competencies are essential to designing and implementing robust trading models, navigating complex data, and working efficiently in a fast-paced, team-driven environment.

What is a Hedge Fund Machine Learning job?

A Hedge Fund Machine Learning job involves applying data science, artificial intelligence, and quantitative modeling techniques to improve trading strategies, risk management, and portfolio optimization. Professionals in this role develop and implement machine learning algorithms to analyze financial data, identify patterns, and generate predictive models for market behavior. They work closely with portfolio managers, traders, and quantitative researchers to enhance decision-making and generate alpha. Strong programming skills, expertise in statistics, and knowledge of financial markets are essential for success in this field.

More about Hedge Fund Machine Learning jobs
What cities are hiring for Hedge Fund Machine Learning jobs? Cities with the most Hedge Fund Machine Learning job openings:
What states have the most Hedge Fund Machine Learning jobs? States with the most job openings for Hedge Fund Machine Learning jobs include:
What job categories do people searching Hedge Fund Machine Learning jobs look for? The top searched job categories for Hedge Fund Machine Learning jobs are:
Hedge Fund Machine Learning jobs near you
Infographic showing various Hedge Fund Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

C++ Quantitative Developer - HFT - Global Hedge Fund - Bonhill Partners

Bonhill Partners

Manhattan, NY • On-site

$54 - $72.75/hr

Full-time

Re-posted 19 days ago

Job description

C++ Quantitative Developer – High-Frequency Trading | Global Hedge Fund

Bonhill Partners are supporting a leading global hedge fund in their search for a C++ Quantitative Developer to join their High-Frequency Trading (HFT) team. This is a unique opportunity to work at the cutting edge of quantitative trading, leveraging your expertise to optimize performance in a fast-paced, data-driven environment.

Key Responsibilities:

  1. Design and implement a low-latency, high-frequency trading platform, handling real-time market data and executing trades globally.
  2. Contribute to the development of a research platform.
  3. Optimize parallel computation problems, ensuring efficient data sharing across distributed systems.
  4. Enhance the computational efficiency of machine learning algorithms.

Key Requirements:

  1. Strong experience in C++ and proficiency in Python.
  2. Deep understanding of data structures, algorithms, and object-oriented programming.
  3. Familiarity with cloud computing frameworks (AWS, GCP, or similar) is a plus.
  4. Linux and Bash scripting expertise.
  5. Experience with Go and Rust is advantageous.
  6. Exceptional problem-solving skills and a detail-oriented mindset.

This is an exciting chance to join a top-tier hedge fund at the forefront of algorithmic trading and quantitative research. If you're interested, please apply.

Looking forward to connecting!

Apply