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    <job>
      <externalid>c7e58f60-5fa</externalid>
      <Title>Software Engineer - Learning Engineering and Data (LEaD) Program</Title>
      <Description><![CDATA[<p>As a member of our Miami-based Learning Engineering and Data (LEaD) program, you will work alongside technology mentors and leaders to develop and maintain applications and tools spanning front-office, middle-office, and back-office functions in a dynamic and fast-paced environment.</p>
<p>Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.</p>
<p>Candidate is expected to:</p>
<ul>
<li>Work closely with technology teams to develop requirements and specifications for varying projects</li>
<li>Take part in the development and enhancement of the backend distributed system</li>
<li>Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions</li>
</ul>
<p>Qualifications/Skills Required:</p>
<ul>
<li>2-5 years of experience working with C++, Python, or Java</li>
<li>Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)</li>
<li>Must be comfortable working in both Unix/Linux and Windows environments</li>
<li>Good understanding of various design patterns</li>
<li>Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts</li>
<li>Solid communication skills</li>
<li>Able to work collaboratively in a fast-paced environment with a passion to solving complex problems</li>
<li>Detail oriented, organized, demonstrating thoroughness and strong ownership of work</li>
</ul>
<p>Desirable Skills/Knowledge:</p>
<ul>
<li>Bachelor or Master&#39;s degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field</li>
<li>Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time</li>
<li>Hands-on experience building ML and data pipeline architectures</li>
<li>Understanding of distributed messaging systems</li>
<li>Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)</li>
<li>Experience with relational and non-relational database platforms</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>C++, Python, Java, ML libraries, Pandas, NumPy, FastAPI, Boost, Spring Boot, Bachelor or Master&apos;s degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field, Demonstrable passion for developing LLM-powered products, Hands-on experience building ML and data pipeline architectures, Understanding of distributed messaging systems, Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred), Experience with relational and non-relational database platforms</Skills>
      <Category>Engineering</Category>
      <Industry>Finance</Industry>
      <Employername>IT LEad Program</Employername>
      <Employerlogo>https://logos.yubhub.co/mlp.eightfold.ai.png</Employerlogo>
      <Employerdescription>Millennium is a large global alternative investment manager.</Employerdescription>
      <Employerwebsite>https://mlp.eightfold.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://mlp.eightfold.ai/careers/job/755953879362</Applyto>
      <Location>Miami, Florida, United States of America</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
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