Fintechs, Jobs, Jobs

Artificial Intelligence and Machine Learning Internships

Are you looking to kickstart a career in AI, machine learning, or fintech? With numerous opportunities on the horizon, choosing the right program can set you on a path to success. Whether you’re a high school student, a recent graduate, or a seasoned professional seeking to transition into tech, our comparative guide to top programs will help you make an informed decision.

AWS AI & ML Scholarship Program: Your Pathway to a Fintech Job

The AWS AI & ML Scholarship Program, in partnership with Udacity, aims to democratize access to AI and machine learning education for underserved and underrepresented students.

This program has 2,500 scholarships available in 2024 and it is designed to equip students with the skills necessary to pursue careers in technology and fintech jobs.

Eligibility

  • Age Requirement: Aspirants must be 16 years or older.
  • Education Level: Open to high school and college students globally.
  • Diversity Focus: Targets underserved and underrepresented groups in technology.

Application Process

  1. Enroll in AWS DeepRacer Student: Complete two prerequisites to qualify for the scholarship.
  2. AWS Generative AI Course: Gain access to a free course covering foundational AI and ML concepts.
  3. Scholarship Awards: 2,000 scholarships for the AI Programming with Python Nanodegree.
  4. Advanced Opportunities: Top 500 scorers in an assessment get a second Nanodegree scholarship.

What is AWS Deep Racer?

AWS DeepRacer Student is an educational platform by Amazon Web Services (AWS) designed to teach students the fundamentals of machine learning (ML) and reinforcement learning (RL) through an interactive virtual racing league. It offers hands-on experience, learning modules, and tutorials accessible to beginners, and can be integrated into school curriculums. Students can join a global community, participate in competitions, and transfer their virtual learning to real-world applications, gaining valuable skills for future tech careers. The platform provides free access to tools and resources, making it an inclusive and practical introduction to ML and RL concepts.

Key Dates

  • Application Period: June 1 – September 30, 2024.
  • Notification of Recipients: October 14, 2024.
  • Program Start Date: October 16, 2024.

Benefits

  • Flexible Learning: Online, part-time courses for convenient learning.
  • In-Depth Training: Access to extensive training modules on AI and ML skills.
  • Inclusivity: Open to students globally, focusing on diversity in tech.
  • Practical Experience: Train ML models for the AWS DeepRacer Student League.
  • Support and Mentorship: Continuous technical support and mentorship from industry experts.

Career Prospects

Graduates have successfully transitioned into technology and fintech jobs, showcasing the program’s effectiveness in providing career opportunities.

For more information and to apply, visit AWS AI & ML Scholarship Program.

OpenAI Residency: Your Gateway to an AI Career

The OpenAI Residency program offers a six-month immersive experience designed to transition talented researchers and engineers from diverse fields into AI and machine learning roles. This program is a stepping stone for those seeking to contribute to groundbreaking AI research and secure fintech jobs or other tech positions.

Eligibility

  • Background: Suitable for individuals with expertise in fields like mathematics, physics, neuroscience, or software engineering.
  • Education: Open to those with or without formal education in AI; self-taught individuals are encouraged to apply.
  • Commitment: Must be available full-time and cannot be concurrently enrolled in academic programs.

Application Process

  1. Submit Application: Applications are accepted on a rolling basis. Check the OpenAI careers site for updates.
  2. Interview Process: Includes multiple stages to assess technical skills and alignment with OpenAI’s research goals.

Program Details

  • Duration: 6 months.
  • Location: San Francisco, California, with required in-office attendance at least 3 days a week. Relocation assistance is provided.
  • Salary: $210,000 annually, plus benefits.
  • Visa Sponsorship: OpenAI supports visa and work authorization for international candidates.

Benefits

  • Hands-On Experience: Work on real AI projects with OpenAI’s research teams.
  • Mentorship: Receive guidance from experienced AI researchers.
  • Career Opportunities: Successful residents may receive full-time offers to continue their work at OpenAI.
  • Networking: Collaborate with top experts and gain exposure to cutting-edge AI research.

Career Prospects

The program prepares participants for high-impact roles in AI, machine learning, and fintech jobs. Alumni have successfully transitioned into influential positions, contributing to significant AI advancements.

The OpenAI Residency is an unparalleled opportunity for individuals passionate about AI to gain essential skills and experience. This program not only opens doors to careers in AI but also provides a pathway to fintech jobs and other tech roles. Apply today to start your journey towards shaping the future of AI.

For more information and to apply, visit OpenAI Residency.

J.P. Morgan AI & Data Science Internship: Your Pathway to a Fintech Job

The J.P. Morgan AI & Data Science Internship program offers students a unique opportunity to apply data science techniques to financial data, driving the transformation of J.P. Morgan’s business. This program is an excellent gateway for students aiming to secure fintech jobs.

Eligibility

  • Education: Enrolled in an undergraduate or graduate degree program in math, sciences, engineering, computer science, or other quantitative fields.
  • Skills: Proficiency in machine learning/data science theory and programming languages such as Python, Matlab, C++, Java, or C#.

Application Process

  1. Submit Application: Applications open periodically; check the J.P. Morgan careers site for updates.
  2. Interview Process: Multiple stages including technical assessments and interviews to evaluate skills and fit.

Program Details

  • Teams: Interns are placed in teams like Machine Learning Centre of Excellence, AI Research, Applied AI & Machine Learning, and Asset Management.
  • Duration: Typically a summer internship.
  • Location: Various J.P. Morgan offices globally.

Benefits

  • Hands-On Experience: Work with real-world data and cutting-edge AI techniques.
  • Mentorship: Guidance from experienced professionals and senior leaders.
  • Professional Growth: Engagement in projects, speaker series, and mentorship prepares interns for successful careers.
  • Career Opportunities: High-performing interns may receive full-time job offers.

Career Prospects

The internship program prepares students for impactful careers in AI, data science, and fintech jobs, contributing to J.P. Morgan’s innovation in the financial industry.

The J.P. Morgan AI & Data Science Internship is a pivotal opportunity for students to gain essential skills and experience, paving the way for future careers in AI and fintech jobs. Apply today to start your journey with one of the leading financial institutions.

For more information and to apply, visit J.P. Morgan AI & Data Science Opportunities.

Comparative Table of AI & ML Programs

FeatureAWS AI & ML ScholarshipOpenAI ResidencyJ.P. Morgan AI & Data Science Internship
Eligibility16+ years, high school or college students, underserved groupsIndividuals with backgrounds in math, physics, neuroscience, engineeringUndergraduate or graduate students in quantitative fields
Application PeriodJune 1 – September 30, 2024Rolling basisPeriodic, check the website
Program Duration4 months (initial Nanodegree), additional advanced Nanodegree available6 monthsSummer internship
LocationOnlineSan Francisco, CaliforniaVarious global locations
BenefitsPart-time, online learning, mentorship, AWS DeepRacer participation$210,000 annual salary, benefits, mentorship, potential full-time offerHands-on experience, mentorship, professional growth, potential job offer
Skills DevelopedAI Programming with Python, ML model trainingAI research, hands-on project workData science, AI techniques, programming
Career OpportunitiesInternships, career roles in technologyFull-time offers at OpenAI, AI career rolesFull-time offers, fintech jobs, AI and data science roles
SupportTechnical support, inclusive job boardRelocation assistance, visa sponsorshipMentorship from senior leaders, speaker series
Application ProcessEnroll in AWS DeepRacer Student, complete prerequisitesSubmit application, interview processSubmit application, technical assessments, interviews

 

Choosing the right program can significantly impact your career trajectory in AI, machine learning, or fintech. Whether you opt for the AWS AI & ML Scholarship, OpenAI Residency, or J.P. Morgan AI & Data Science Internship, each offers unique benefits and opportunities to develop critical skills and advance your career. Explore these options and take the first step toward a promising future in technology.

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Esusu and Lafayette Square Partner to Deliver Property Performance-Improving Data Solutions

2024-07-17T14:31:46Z

The partnership will provide valuable insights to property owners, developers, and operators

NEW YORK, July 17, 2024 (GLOBE NEWSWIRE) -- Today, Esusu, the leading fintech platform leveraging rental data to build and establish credit scores and improve property performance, announced its partnership with Lafayette Square to provide Esusu’s clients access to Lafayette Square’s proprietary technology platform, Potomac X Lafayette Square.

Potomac X Lafayette Square delivers zip code-level insight about working-class people and places. The place-based analytics tool supports businesses by transforming data into meaningful insights about communities, employees, and customers. Potomac X Lafayette Square will be made available to Esusu’s client base offering a holistic approach to improving the renter and property financial health. By informing property managers about the places in which they invest, they can better understand and support their residents.

This collaboration between Esusu and Lafayette Square marks a major milestone in their shared mission to support working-class families while creating mutually beneficial outcomes for all involved parties. As part of the partnership:

  • Esusu will integrate Potomac X Lafayette Square into its upcoming new dashboard for owners and operators.
  • Potomac X Lafayette Square will be offered to all existing and future clients of Esusu providing customized place-based analytics, technology consulting, and unique data platform construction.
  • Esusu clients will have access to 18,000 local data points and use the tool to identify new real estate property opportunities while better understanding the financial challenges facing the resident base.

This partnership will provide valuable insights to property owners, developers, and operators, empowering them to make informed decisions based on demographic, economic, and social data. By offering customized place-based analytics, Esusu and Lafayette Square are helping customers address socioeconomic challenges like inflation and its impact, particularly on low-to-moderate-income workers.

“We are thrilled to work with Lafayette Square to further our mission of promoting financial inclusion and aiding the industry to take tangible steps towards dismantling barriers to housing and bridging the racial wealth gap," said Wemimo Abbey and Samir Goel, Co-Founders and Co-CEOs of Esusu. "By integrating Potomac X Lafayette Square into our platform, we are providing our partners unparalleled insights to optimize their investments and support the communities they serve.”

“We built Potomac as part of our 2030 goals to support 100,000 working-class jobs, invest 50 percent of our capital in working-class places, and see 50 percent of our portfolio adopt services like Esusu, “said Damien Dwin, Founder & CEO of Lafayette Square. “This partnership expands the use cases of Potomac to a larger audience with the market leader, Esusu. Together, we will drive capital, technology, and services to working-class people and places.”

The partnership underscores Esusu's commitment to utilizing data solutions to empower residents and improve property performance. With over 5 million rental units across all 50 states in the United States, Esusu continues to lead the way in revolutionizing the rental landscape. Through their work together, Esusu and Lafayette Square are continuing to foster financial well-being among Americans while creating mutually beneficial outcomes. For more information and ways to partner, visit us here.

About Esusu:
Esusu is the leading financial technology platform that leverages data solutions to empower residents and improve property performance. Esusu's rent reporting platform captures rental payment data and reports it to credit bureaus to boost credit scores. This allows renters to build and establish their credit scores while helping property owners mitigate against initiating evictions, powered by differentiated data and insights. Founded in 2018, Esusu reaches over 5 million rental units across all 50 states in the United States. Learn more at www.esusurent.com and follow us on Instagram @myesusu and on Twitter @getesusu.

Media Contact:
Small Girls PR
esusu@smallgirlspr.com

About Lafayette Square:
Lafayette Square invests in middle market companies while positively supporting people and communities. We believe the demand for capital in businesses headquartered outside of high-income places is an overlooked opportunity. We seek investment opportunities that stimulate economic growth across the United States through the creation and preservation of working-class jobs. For more information, please visit www.lafayettesquare.com.

About Potomac X Lafayette Square:
Place-Based Analytics, a tool within the Potomac product suite, is an interactive SaaS data analytics platform that provides deep insight about a place, such as demographic, economic, and social data. Understanding challenges unique to a region, state, city, or even zip code helps Lafayette Square identify investment opportunities and how to best support both the businesses and communities in those areas.


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