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Embedded Machine Learning Internship Jobs in New York

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer (IC)

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer (IC)

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

New

Capital One

Lead Machine Learning Engineer (IC)

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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Embedded Machine Learning Internship information

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
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Embedded Machine Learning Internship jobs near you

Associate, Machine Learning Engineer

Cantor Fitzgerald Securities

Manhattan, NY • On-site

Full-time

Re-posted 23 days ago

Job description


We are seeking an early-career engineer to join our team and play a vital role in developing and enhancing AI-powered applications for our financial services business. The ideal candidate will have a solid foundation in software development, hands-on experience with modern AI tools, and a keen interest in understanding the behavior of language models in real-world applications. As an Associate, you will have the opportunity to work closely with our experienced engineers and contribute to the growth and success of our innovative AI initiatives.
Responsibilities
  • Collaborate with a cross-functional team to build, evaluate, and improve AI-powered financial services applications.
  • Design and implement machine learning models and algorithms to solve complex business problems.
  • Work with large language models (LLMs) and understand their behavior and potential failure modes.
  • Conduct testing and evaluation of LLM-powered applications, analyzing failures and defining success metrics.
  • Apply machine learning, statistics, and experimental design principles to reason about model behavior.
  • Communicate effectively with product, engineering, and business partners to align on project goals.
  • Ensure responsible AI practices are followed, considering privacy, security, and appropriate automation.
  • Stay updated with the latest advancements in AI and machine learning technologies.
  • Document and present project progress and findings to stakeholders.
  • Provide support and mentorship to junior team members as needed.

Qualifications
  • Bachelor's degree in a technical field (computer science, machine learning, mathematics, etc.) or equivalent practical experience.
  • Experience contributing to production-level software development, internships, research, or substantial personal projects.
  • Strong programming skills in Python, with a focus on writing clear, tested, and maintainable code.
  • Hands-on experience with web services, data integration, testing, logging, and monitoring.
  • Practical knowledge of building with LLMs and understanding common failure modes.
  • Ability to test, evaluate, and improve LLM-powered applications.
  • Grounding in machine learning, statistics, and experimental design, with a knack for technical documentation.
  • Excellent communication skills and a collaborative mindset.
  • Interest in applying AI responsibly in financial services.
  • Familiarity with agentic workflows, evaluation tools, and cloud deployment is a plus.

Compensation
About Us
Company overview:
Built upon the foundation of innovative technology and exceptional talent, BGC is a pioneering global brokerage and financial technology company servicing the financial markets. We are agile and dynamic in our approach, delivering world-class products to our diverse customer base daily. Our Financial Services business provides a full range of trade execution and broker-dealer services.
The benefit of BGC's integrated platform is that it gives customers flexibility and choice in price discovery, execution, and processing of their transactions, through voice, hybrid, or fully electronic brokerage options. In addition, our BGC Trader and BGC Market Data platforms offer financial technology solutions, market data and analytics related to financial instruments and markets.
Agency Notice:
BGC Group & affiliates do not accept agency resumes. Please do not forward resumes to our job alias, employees or any other company location. BGC Group & affiliates are not responsible for any fees related to unsolicited resumes. Please contact the Recruitment function for additional details.

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