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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SMC Announces Retirement of Additional $436,884 of Debt

2024-07-11T11:45:00Z

BOCA RATON, Fla., July 11, 2024 (GLOBE NEWSWIRE) -- SMC Entertainment, Inc. ("SMC" or the "Company") (OTC: SMCE), a versatile incubator company focused on acquisition and support of proven commercialized financial services and technology (Fintech) companies, is pleased to announce the retirement of an additional $436,884 of debt in the form of consulting fees and management conversion of accrued earnings (the “Debt”). The Debt retirement will be reflected in the Company's third quarter 2024 financial statements.

The Debt is comprised of $300,374 held by one of our non-affiliate debt holders. The balance of $136,500 is comprised of accrued consulting fees held by current insiders, and all of the Debt was converted to the Company’s common shares at $0.002 per share, for a total of 68,250,000. All share issuances are restricted in accordance with the Securities and Exchange Commission (“SEC”) Rule 144.

“We believe that the debt retirement and conversion of $136,500 in accrued consulting fees into restricted equity is further proof of management’s commitment to the Company. In light of SMC’s progress with the Chaintrade.AI acquisition and the developments at Fyniti, management felt that our stock is extremely undervalued. Our officers were presented with the opportunity to increase our equity position at these levels and chose to execute on it. I still consider the company to be extremely undervalued Management will continue to find ways to reduce SMC’s long-term debt, minimize shareholder dilution and increase shareholder value.”

About SMC: www.smceinc.com
SMC is a versatile holding company focused on acquisition and support of proven commercialized financial services and technology (Fintech) companies. SMC's multi-discipline growth by acquisition approach is to enhance revenues and shareholder equity.

About Chaintrade: www.chaintrade.ai
Chaintrade LTD is a UK Registered Entity and is affiliated with Red Matter Capital LTD, a registered financial service company, with its subsidiary licensed under a securities trading license granted by the Montenegro Capital Market Authority (CMA) Authorized by the law on capital markets by the government of Montenegro.

Fyniti Global Equities EBT Inc. ("Fyniti")

Fyniti, SMC's wholly owned subsidiary. Fyniti (www.fyniti.comwww.fynitiiq.com) is a Fintech developer and provider of technologies that combine Artificial Intelligence/Machine Learning (AI/ML) driven quantitative investing (IQ Engine) with AI-enabled wealth management Electronic Block Trading ("EBT") technology. Fyniti's EBT platform is focused on democratizing Basket Trading and maximizing Tax Loss Harvesting. To that end, Fyniti's development efforts are focused on those two components.

Press Release Contact:

Erik Blum,
Chief Executive Officer
SMC Entertainment, Inc.
360-820-5973

Safe Harbor Statement
Some of the statements in this press release may be forward-looking statements or statements of future expectations based on currently available information. Such statements are naturally subject to risks and uncertainties. Factors such as the development of general economic conditions, future market conditions, unusual catastrophic loss events, changes in the capital markets, and other circumstances may cause the actual events or results to be materially different from those anticipated by such statements. The Company does not make any representation or warranty, express or implied, regarding the accuracy, completeness, or updated status of such forward-looking statements or information provided by the third-party. Therefore, in no case whatsoever will the Company and its affiliate companies be liable to anyone for any decision made or action taken in conjunction with the information and/or statements in this press release or any related damages.


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