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Embedded Machine Learning Internship Jobs in Connecticut

Synchrony

BLP Intern - Data Analytics

Stamford, CT

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... edge machine learning models to predict customer behavior. You will work with large and complex ...

The Hartford

AVP Applied AI, Claims

Hartford, CT · Hybrid

... embedded into core claim processes and colleague experiences. * Build deep partnerships within ... Master's or Ph.D. preferred in Machine Learning, Data Science, Computer Science, Applied ...

Iberdrola

Sr Manager - Data & AI Governance

Orange, CT

... embedded across the full AI and data lifecycle. The Senior Manager partners closely with Data & AI ... machine learning, and AI solutions. * Establish governance structures, decision rights, escalation ...

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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
BLP Intern - Data Analytics

BLP Intern - Data Analytics

Synchrony

Stamford, CT

Full-time

Posted yesterday

Job description

Business Leadership Program Internship Overview:

Synchrony's Business Leadership Program Summer Internship is a 10-week paid assignment in one of our 10 Tracks. During the summer, each BLP Intern is provided with project work that is important to our business, and we'll look to you to challenge us and contribute to driving innovation for our future. Beyond the assignment, BLPs gain the full Synchrony Experience with an immersive orientation during Week 1, the Intern Summer Series to meet and network with leaders around the business, and ongoing support from a team and mentors who are invested in your success.


Data Analytics BLP Internship Experience: What You'll Accomplish


This internship is for students who are looking to get a critical jump start on a career in Data Analytics, working side by side with our experts in the function to gain valuable hands-on experience. Data is integral to who we are and how we address critical business problems. We're harnessing the power of data to produce invaluable customer insights, and we're leveraging data science to develop cutting-edge machine learning models to predict customer behavior.

You will work with large and complex datasets to:

  • Develop strategies to drive sales performance and loyalty programs with our retail partners

  • Support retail growth by advising on new store locations based on performance of current locations

  • Assess the performance of risk initiatives and track the health of our client portfolios

  • Give a voice to the customer experience by analyzing public sentiment

This track is unique because it touches virtually all areas of our business, identify and deliver strategic insights and present those to stakeholders and clients. This means you'll gain a solid understanding of functions like Marketing, Risk, Credit, Technology, Collections and Operations. You'll have a hand in creating what's next, because as data grows, so do your opportunities.

What do we look for in all potential BLP Interns?

  • Ability to effectively work independently and within collaborative teams

  • Proven leadership both inside and beyond the classroom

  • Strong project management and communication skills

  • Demonstrated flexibility, adaptability, and passion for learning

  • Passion for excellence with high integrity and a commitment to quality

  • Relevant experience or demonstrated interest in area of work


Desired Characteristics for the Data Analytics Track

  • Experience using Microsoft Excel and PowerPoint

  • Experience and comfort level working with data of varying sizes and from multiple sources

  • Ability to synthesize diverse information to develop and recommend strategies

  • Good presentation, speaking, organizational and problem-solving skills, and the capability to meet deadlines

  • Ability to perform ad-hoc analysis, bringing independent thought leadership and value-added insights and judgment

  • Prior data mining experience is helpful

Basic Qualifications & Requirements

  • Pursuing a Bachelor's degree in a quantitative discipline like Statistics, Mathematics, Engineering, etc.

  • Excellent academic record - Minimum overall 3.0 GPA

  • Available for 10 consecutive weeks during Internship (June - August)

  • Must be able to work minimum of 40 hour week


Additional Eligibility Requirements

  • You must be 18 years or older

  • Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • Geographic mobility: Ability to relocate based on program or business direction

Participants will receive full relocation benefits (if moving 50 miles or more) and fully furnished housing. For additional details about our BLP Summer Internship benefits, visit www.synchronyuniversity.com.

Our Commitment

When you join us, you'll be part of a diverse, inclusive culture where your skills, experience, and voice are not only heard-but valued. We celebrate the differences in all of us and believe that our individual, unique perspectives is what makes Synchrony truly a great place to work. Together, we're building a future where we can all belong, connect and turn ideals into action. Through the power of our 8Diversity Networks+, with more than 60% of our workforce engaged, you'll find community to connect with and find opportunity to go beyond your passions.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time.

Our Way of Working:

We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commute to your nearestHub (either virtual or physical) for in-person engagement activities such as regularbusiness or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older

  • You must have a high school diploma or equivalent

  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Our Commitment:

When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time

Job Family Group:

Data Analytics

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