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    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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    Bitcoin Depot Announces Sale of 200 Additional Kiosks to Sopris Capital Through Profit-Sharing Program

    2024-07-16T12:00:00Z

    Underscores the Attractiveness of the Company’s Bold North American Expansion Strategy

    ATLANTA, July 16, 2024 (GLOBE NEWSWIRE) -- Bitcoin Depot (“Bitcoin Depot” or the “Company”) (NASDAQ: BTM), a U.S.-based Bitcoin ATM (“BTM”) operator and leading fintech company, today announced sale of 200 additional BTM kiosks to Sopris Capital (“Sopris”), a 20-year-old multi-strategy investment firm as part of the Company’s profit-sharing program.

    Bitcoin Depot launched the program in 2023 to provide additional deployment opportunities to qualified partners as part of its North American expansion strategy. Today’s news follows the March announcement, where Sopris joined Bitcoin Depot’s profit-sharing program with the purchase of 50 kiosks. This program allows Sopris to leverage Bitcoin Depot`s operating expertise and receive a passive income stream from its Bitcoin ATMs.

    “Our decision to purchase additional kiosks underscores the attractiveness of this investment opportunity, and the confidence we have in Bitcoin Depot’s strategy and growth potential,” said Andrew Paul, Founder and CEO of Sopris Capital. “As an owner of 250 kiosks and one of the Company’s independent shareholders, we believe Bitcoin Depot presents multiple ways to drive high returns on our capital.”

    Bitcoin Depot's profit-sharing program provides a comprehensive investment package, including kiosk use, operating software, shipping, installation, and ongoing support. It also offers a passive income stream with monthly profit splits, providing a direct financial benefit to the partner. By partnering with Bitcoin Depot, companies can leverage the Company’s expertise in BTM operations and its integration with BitAccess software, the leading software suite for Bitcoin ATM operations.

    “We are thrilled to deepen our partnership with Sopris Capital,” said Bitcoin Depot CEO Brandon Mintz. “We believe their various investments in our platform and common shares over the past four months underscores their confidence in our strategy and growth potential.”

    Bitcoin Depot’s products and services provide an intuitive, quick, and convenient process for converting cash into Bitcoin, giving users the ability to access the broader digital financial system, including using their Bitcoin for purposes of making payments, transfers, remittances, online purchases, and investments. To learn more about Bitcoin Depot’s profit share program, visit: https://bitcoindepot.com/profit-sharing-program/.

    About Bitcoin Depot 
    Bitcoin Depot Inc. (Nasdaq: BTM) was founded in 2016 with the mission to connect those who prefer to use cash to the broader, digital financial system. Bitcoin Depot provides its users with simple, efficient and intuitive means of converting cash into Bitcoin, which users can deploy in the payments, spending and investing space. Users can convert cash to bitcoin at Bitcoin Depot kiosks in 48 states and at thousands of name-brand retail locations in 29 states through its BDCheckout product. The Company has the largest market share in North America with approximately 7,400 kiosk locations as of April 1, 2024. Learn more at www.bitcoindepot.com. 

    Cautionary Note Regarding Forward-Looking Statements

    This press release and any oral statements made in connection herewith include “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Exchange Act. Forward-looking statements are any statements other than statements of historical fact, and include, but are not limited to, statements regarding the expectations of plans, business strategies, objectives and growth and anticipated financial and operational performance, including our growth strategy and ability to increase deployment of our products and services, the anticipated effects of the Amendment, and the closing of the Preferred Sale. These forward-looking statements are based on management’s current beliefs, based on currently available information, as to the outcome and timing of future events. Forward-looking statements are often identified by words such as "anticipate," "appears," "approximately," "believe," "continue," "could," "designed," "effect," "estimate," "evaluate," "expect," "forecast," "goal," "initiative," "intend," "may," "objective," "outlook," "plan," "potential," "priorities," "project," "pursue," "seek," "should," "target," "when," "will," "would," or the negative of any of those words or similar expressions that predict or indicate future events or trends or that are not statements of historical matters, although not all forward-looking statements contain such identifying words. In making these statements, we rely upon assumptions and analysis based on our experience and perception of historical trends, current conditions, and expected future developments, as well as other factors we consider appropriate under the circumstances. We believe these judgments are reasonable, but these statements are not guarantees of any future events or financial results. These forward-looking statements are provided for illustrative purposes only and are not intended to serve as, and must not be relied on by any investor as, a guarantee, an assurance, a prediction or a definitive statement of fact or probability. Actual events and circumstances are difficult or impossible to predict and will differ from assumptions. Many actual events and circumstances are beyond our control.

    These forward-looking statements are subject to a number of risks and uncertainties, including changes in domestic and foreign business, market, financial, political and legal conditions; failure to realize the anticipated benefits of the business combination; future global, regional or local economic and market conditions; the development, effects and enforcement of laws and regulations; our ability to manage future growth; our ability to develop new products and services, bring them to market in a timely manner and make enhancements to our platform; the effects of competition on our future business; our ability to issue equity or equity-linked securities; the outcome of any potential litigation, government and regulatory proceedings, investigations and inquiries; and those factors described or referenced in filings with the Securities and Exchange Commission. If any of these risks materialize or our assumptions prove incorrect, actual results could differ materially from the results implied by these forward-looking statements. There may be additional risks that we do not presently know or that we currently believe are immaterial that could also cause actual results to differ from those contained in the forward-looking statements. In addition, forward-looking statements reflect our expectations, plans or forecasts of future events and views as of the date of this press release. We anticipate that subsequent events and developments will cause our assessments to change.
    We caution readers not to place undue reliance on forward-looking statements. Forward-looking statements speak only as of the date they are made, and we undertake no obligation to update publicly or otherwise revise any forward-looking statements, whether as a result of new information, future events, or other factors that affect the subject of these statements, except where we are expressly required to do so by law. All written and oral forward-looking statements attributable to us are expressly qualified in their entirety by this cautionary statement.

    Contacts: 

    Investors  
    Cody Slach 
    Gateway Group, Inc.  
    949-574-3860  
    BTM@gateway-grp.com 

    Media  
    Christina Lockwood, Brenlyn Motlagh, Ryan Deloney  
    Gateway Group, Inc. 
    949-574-3860  
    BTM@gateway-grp.com 


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