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Hedge Fund Machine Learning Jobs Near Me

ultimus

Senior AI Engineer

Minneapolis, MN

$109K - $149K/yr

Architect and scale machine learning pipelines to support automated workflows across Fund Accounting, Transfer Agency, and Onboarding * Oversee the development and deployment of robust AI ...

ultimus

AI Project Manager

Columbus, OH · On-site

... of machine learning lifecycles and AI infrastructure * Ability to work effectively with technical teams to clear roadblocks and manage timelines * Experience in financial services or fund ...

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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 Aug 7, 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.
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What cities are hiring for Hedge Fund Machine Learning jobs? Cities with the most Hedge Fund Machine Learning job openings:
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Hedge Fund Machine Learning jobs near you
A map of the United States highlighting the number of Hedge Fund Machine Learning job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Hedge Fund Machine Learning job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Low Latency OEMS Engineer (Java)

Jain Global

London, OH • On-site

Full-time

Re-posted 13 days ago

Job description

Job Description:

Low Latency OEMS Engineer (Java)

Jain Global, LLC

Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain with over 400 employees operating from offices in New York, Houston, London, Singapore, and Hong Kong.

Position Overview

We are seeking a talented and motivated Low Latency Java OMS/EMS Engineer to join our dynamic team. The ideal candidate will have extensive experience in building and optimizing low latency systems, focusing on Order Management Systems (OMS) or Execution Management Systems (EMS). You will be responsible for designing, implementing, and maintaining high-performance trading applications that meet the requirements of our trading desks.

Role and Responsibilities

  • Design and implement low latency components for our OMS/EMS platforms.
  • Optimize system performance by applying Java low latency best practices and methodologies.
  • Utilize zero-copy patterns and NIO (New I/O) for efficient data processing.
  • Implement and manage garbage collection (GC) strategies to minimize latency.
  • Develop and refine sequencer patterns for high-speed message processing.
  • Work with clustering concepts to ensure robust and scalable systems.
  • Perform machine and network-level tuning to achieve optimal system performance.
  • Tweak JVM (Java Virtual Machine) configurations for peak performance.
  • Integrate low latency encoding protocols for fast data serialization and transmission.
  • Collaborate with cross-functional teams, including trading, devops, and infrastructure, to ensure seamless integration of services.

Qualifications & Experience

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in low latency application development, preferably in trading or financial services.
  • Previous experience with OMS/EMS platforms is a plus.
  • Good knowledge of CI/CD tools (e.g., Azure DevOps, Jenkins).
  • Proficiency in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Strong proficiency in Java, with a focus on low latency application development.
  • In-depth understanding of low latency best practices, including zero-copy techniques.
  • Familiar with GC algorithms and tuning for low latency applications.
  • Experience with NIO and its application in high-performance systems.
  • Knowledge of sequencer patterns and their role in message delivery systems.
  • Understanding of clustering techniques and distributed system design.
  • Familiarity with machine and network tuning to minimize latency and maximize throughput.
  • Experience with JVM tuning and performance monitoring tools.
  • Knowledge of low latency encoding protocols (e.g., FIX, protobuf) and their implementations.
  • Strong communication skills and ability to work collaboratively within a team.
  • Ability to thrive in a fast-paced, high-pressure environment.
  • Bonus:Experience with Aeron messaging for low-latency messaging solutions.

What We Offer

  • Exposure to cutting-edge technology and data analytics within the hedge fund industry.
  • Opportunity to work alongside experienced professionals in a fast-paced and intellectually challenging environment.
  • Competitive compensation and potential for growth within the firm.
  • A supportive and inclusive workplace culture that values diversity and collaboration.

We are an Equal Opportunity Employer

As an employer, we believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of Jain Global teams to drive competitive performance. We believe an inclusive environment can yield exceptional contributions.

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