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Location: Vienna, Austria About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We are looking for an experienced Senior Accountant to support the accounting, financial reporting, and regulatory reporting activities of Bybit’s European entities. This role will be responsible for managing core accounting processes, month-end and year-end closing activities, financial reporting, and supporting audits within a rapidly growing and highly regulated fintech environment. You will work closely with Finance, Treasury, Compliance, Legal, Operations, Product teams, external auditors, and outsourced accounting providers to ensure accurate financial reporting and robust financial controls. Beyond traditional accounting responsibilities, you will have the opportunity to help design and build scalable accounting processes, reporting frameworks, and finance controls for one of Europe’s fastest-growing regulated digital asset businesses. Responsibilities Prepare and review monthly, quarterly, and annual financial statements under Austrian GAAP (UGB) Oversee general ledger accounting, account reconciliations, accruals, provisions, and month-end close processes Support the preparation of regulatory and financial reporting for Austrian and European entities Coordinate with external auditors, tax advisors, outsourced accounting providers, and regulatory stakeholders Support internal and external audits and ensure compliance with Austrian accounting and regulatory requirements Assist in implementing and improving accounting controls, finance processes, and ERP workflows Collaborate closely with Treasury, Compliance, Legal, Product, Operations, and Tax teams on finance-related matters Support accounting analysis relating to crypto assets, safeguarding balances, payment flows, and fintech products Assist with the implementation of new accounting policies, reporting requirements, and regulatory developments Drive automation, process improvement, and finance transformation initiatives Support strategic projects, licensing initiatives, and expansion activities from an accounting and reporting perspective Maintain robust documentation, controls, and audit trails across key finance processes Requirements 6+ years of accounting, audit, or financial reporting experience, ideally within fintech, crypto, banking, financial services, payments, or another international environment Strong knowledge of Austrian GAAP (UGB) and financial reporting principles Experience working with audits, financial statements, reconciliations, and regulatory reporting requirements Strong analytical mindset with excellent attention to detail Ability to work independently and manage multiple priorities in a fast-paced environment Comfortable collaborating across Finance, Legal, Compliance, Product, and operational teams Experience with ERP systems such as NetSuite is considered a plus Austrian accounting qualifications (e.g. Bilanzbuchhalter) and/or experience gained within a Big 4 audit practice, financial institution, or multinational finance function are considered a strong advantage Professional fluency in English is required; German is considered a strong advantage Nice to Have Experience within financial services, fintech, payments, crypto, or other regulated industries Exposure to regulatory reporting and regulated financial institutions Knowledge of crypto asset accounting and safeguarding concepts Experience supporting finance transformation, process automation, or ERP implementation projects Experience working with regulatory stakeholders, auditors, and supervisory requirements Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Jakarta, Indonesia; Bangkok, Thailand; Kuala Lumpur, Malaysia; Philippines; Indonesia About Aura by Hex Trust Aura by Hex Trust is the private wealth business of Hex Trust. We bring institutional-grade digital asset infrastructure - custody, trading, yield, structured products - to high net worth (HNW) individuals and family offices, delivered through a Relationship Manager–led model backed by an easy-to-use app. The wealth opportunity in digital assets is one of the most underserved segments in the industry. HNW clients want exposure but lack a trusted, regulated, full-service partner. Aura fills that gap, combining the security and licensing of Hex Trust with the personal service private clients expect. About Hex Trust Hex Trust is a fully-licensed digital asset financial institution building the infrastructure institutions use to operate in crypto. Custody, staking, capital markets, investment solutions, payments, fiat ramping, RWAs, and tokenization — all on one regulated platform. Founded in 2018, we're licensed across multiple jurisdictions (HK, SG, Dubai, SVG). As institutional capital moves into crypto and the RWA and payments narratives accelerate, we're one of the few players who can serve institutions as a fully-regulated, one-stop-shop partner. We serve 600+ institutional clients globally: funds, family offices, banks, foundations, token issuers, payment firms, OTC desks, and corporates. We're well-capitalized, growing consistently, and built on a sustainable model. We operate 24/7 from hubs in Hong Kong, Singapore, Dubai, and Vietnam. You'll work alongside a senior commercial team, own real institutional relationships, and get exposure to the most active parts of the market. We're scaling fast. If you want to sell into the institutional side of crypto at a firm that's actually licensed to do it, this is the place. Position Summary We offer an attractive, formula-based, uncapped bonus structure tied directly to revenue, paid quarterly. As a Relationship Manager at Aura, you'll originate and grow your own book of HNW and family office clients on a fresh platform. You'll have direct access to the full Hex Trust group - institutional products, regulated infrastructure, and senior leadership -  and real influence over product direction as we scale. This is an early-stage hire. If you're an experienced wealth or sales professional looking to build something rather than inherit it, this is the seat. Duties & Responsibilities Establish and grow long-term relationships with HNW clients , family offices, and private wealth channels, contributing to increased AUM, trading volume, and product adoption Cultivate and expand partnerships with relevant distribution partners and intermediaries to further drive growth in AUM. Lead prospect and client meetings, clearly articulating Hex Trust’s value proposition and capturing feedback for continuous improvement. Identify cross-selling opportunities across trading, structured products, and lending solutions to deepen client engagement. Work with Marketing Team to identify and support activities designed to attract and activate client base Oversee smooth onboarding and ongoing relationship management in collaboration with compliance, legal, and operations. Deliver best-in-class, white-glove service—positioning Hex Trust as a trusted partner for private clients and family offices in digital assets. KPIs: No. of clients, Revenue, Assets on Platform, Net New Money Requirements 5–15 years of experience in relationship management, private banking, wealth management, and/or institutional/crypto financial services. Demonstrated success in growing AUM and managing sophisticated private clients or family office accounts. Strong knowledge of financial markets and investment products; digital asset familiarity required. Proven ability to deliver high-touch, client-first service in a demanding environment. Excellent communication, presentation, and negotiation skills with credibility in front of senior stakeholders. Entrepreneurial, adaptable, and proactive in identifying solutions and opportunities. Fluency in English required; additional languages (e.g., Mandarin, Arabic) are highly valued. Candidates who do not tick all the boxes are still encouraged to apply, those with less experience will still be considered for the position but with relevant adjustments to seniority. Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: Heart Empowerment Xcellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also: Competitive Salaries & Bonuses Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.) Access to Corporate Discounts and exclusive Employer Perks Medical & Retirement Plans Professional Learning and Development Opportunities Elevate your work using cutting-edge technology Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam Regular company & social events Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Location: Taiwan; South Korea; Japan About Aura by Hex Trust Aura by Hex Trust is the private wealth business of Hex Trust. We bring institutional-grade digital asset infrastructure - custody, trading, yield, structured products - to high net worth (HNW) individuals and family offices, delivered through a Relationship Manager–led model backed by an easy-to-use app. The wealth opportunity in digital assets is one of the most underserved segments in the industry. HNW clients want exposure but lack a trusted, regulated, full-service partner. Aura fills that gap, combining the security and licensing of Hex Trust with the personal service private clients expect. About Hex Trust Hex Trust is a fully-licensed digital asset financial institution building the infrastructure institutions use to operate in crypto. Custody, staking, capital markets, investment solutions, payments, fiat ramping, RWAs, and tokenization — all on one regulated platform. Founded in 2018, we're licensed across multiple jurisdictions (HK, SG, Dubai, SVG). As institutional capital moves into crypto and the RWA and payments narratives accelerate, we're one of the few players who can serve institutions as a fully-regulated, one-stop-shop partner. We serve 600+ institutional clients globally: funds, family offices, banks, foundations, token issuers, payment firms, OTC desks, and corporates. We're well-capitalized, growing consistently, and built on a sustainable model. We operate 24/7 from hubs in Hong Kong, Singapore, Dubai, and Vietnam. You'll work alongside a senior commercial team, own real institutional relationships, and get exposure to the most active parts of the market. We're scaling fast. If you want to sell into the institutional side of crypto at a firm that's actually licensed to do it, this is the place. Position Summary We offer an attractive, formula-based, uncapped bonus structure tied directly to revenue, paid quarterly. As a Relationship Manager at Aura, you'll originate and grow your own book of HNW and family office clients on a fresh platform. You'll have direct access to the full Hex Trust group - institutional products, regulated infrastructure, and senior leadership -  and real influence over product direction as we scale. This is an early-stage hire. If you're an experienced wealth or sales professional looking to build something rather than inherit it, this is the seat. Duties & Responsibilities Establish and grow long-term relationships with HNW clients , family offices, and private wealth channels, contributing to increased AUM, trading volume, and product adoption Cultivate and expand partnerships with relevant distribution partners and intermediaries to further drive growth in AUM. Lead prospect and client meetings, clearly articulating Hex Trust’s value proposition and capturing feedback for continuous improvement. Identify cross-selling opportunities across trading, structured products, and lending solutions to deepen client engagement. Work with Marketing Team to identify and support activities designed to attract and activate client base Oversee smooth onboarding and ongoing relationship management in collaboration with compliance, legal, and operations. Deliver best-in-class, white-glove service—positioning Hex Trust as a trusted partner for private clients and family offices in digital assets. KPIs: No. of clients, Revenue, Assets on Platform, Net New Money Requirements 5–15 years of experience in relationship management, private banking, wealth management, and/or institutional/crypto financial services. Demonstrated success in growing AUM and managing sophisticated private clients or family office accounts. Strong knowledge of financial markets and investment products; digital asset familiarity required. Proven ability to deliver high-touch, client-first service in a demanding environment. Excellent communication, presentation, and negotiation skills with credibility in front of senior stakeholders. Entrepreneurial, adaptable, and proactive in identifying solutions and opportunities. Fluency in English required; additional languages (e.g., Mandarin, Arabic) are highly valued. Candidates who do not tick all the boxes are still encouraged to apply, those with less experience will still be considered for the position but with relevant adjustments to seniority. Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: Heart Empowerment Xcellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also: Competitive Salaries & Bonuses Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.) Access to Corporate Discounts and exclusive Employer Perks Medical & Retirement Plans Professional Learning and Development Opportunities Elevate your work using cutting-edge technology Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam Regular company & social events Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Location: Kazakhstan; Azerbaijan; Uzbekistan About Aura by Hex Trust Aura by Hex Trust is the private wealth business of Hex Trust. We bring institutional-grade digital asset infrastructure - custody, trading, yield, structured products - to high net worth (HNW) individuals and family offices, delivered through a Relationship Manager–led model backed by an easy-to-use app. The wealth opportunity in digital assets is one of the most underserved segments in the industry. HNW clients want exposure but lack a trusted, regulated, full-service partner. Aura fills that gap, combining the security and licensing of Hex Trust with the personal service private clients expect. About Hex Trust Hex Trust is a fully-licensed digital asset financial institution building the infrastructure institutions use to operate in crypto. Custody, staking, capital markets, investment solutions, payments, fiat ramping, RWAs, and tokenization — all on one regulated platform. Founded in 2018, we're licensed across multiple jurisdictions (HK, SG, Dubai, SVG). As institutional capital moves into crypto and the RWA and payments narratives accelerate, we're one of the few players who can serve institutions as a fully-regulated, one-stop-shop partner. We serve 600+ institutional clients globally: funds, family offices, banks, foundations, token issuers, payment firms, OTC desks, and corporates. We're well-capitalized, growing consistently, and built on a sustainable model. We operate 24/7 from hubs in Hong Kong, Singapore, Dubai, and Vietnam. You'll work alongside a senior commercial team, own real institutional relationships, and get exposure to the most active parts of the market. We're scaling fast. If you want to sell into the institutional side of crypto at a firm that's actually licensed to do it, this is the place. Position Summary We offer an attractive, formula-based, uncapped bonus structure tied directly to revenue, paid quarterly. As a Relationship Manager at Aura, you'll originate and grow your own book of HNW and family office clients on a fresh platform. You'll have direct access to the full Hex Trust group - institutional products, regulated infrastructure, and senior leadership -  and real influence over product direction as we scale. This is an early-stage hire. If you're an experienced wealth or sales professional looking to build something rather than inherit it, this is the seat. Duties & Responsibilities Establish and grow long-term relationships with HNW clients , family offices, and private wealth channels, contributing to increased AUM, trading volume, and product adoption Cultivate and expand partnerships with relevant distribution partners and intermediaries to further drive growth in AUM. Lead prospect and client meetings, clearly articulating Hex Trust’s value proposition and capturing feedback for continuous improvement. Identify cross-selling opportunities across trading, structured products, and lending solutions to deepen client engagement. Work with Marketing Team to identify and support activities designed to attract and activate client base Oversee smooth onboarding and ongoing relationship management in collaboration with compliance, legal, and operations. Deliver best-in-class, white-glove service—positioning Hex Trust as a trusted partner for private clients and family offices in digital assets. KPIs: No. of clients, Revenue, Assets on Platform, Net New Money Requirements 5–15 years of experience in relationship management, private banking, wealth management, and/or institutional/crypto financial services. Demonstrated success in growing AUM and managing sophisticated private clients or family office accounts. Strong knowledge of financial markets and investment products; digital asset familiarity required. Proven ability to deliver high-touch, client-first service in a demanding environment. Excellent communication, presentation, and negotiation skills with credibility in front of senior stakeholders. Entrepreneurial, adaptable, and proactive in identifying solutions and opportunities. Fluency in English required; additional languages (e.g., Mandarin, Arabic) are highly valued. Candidates who do not tick all the boxes are still encouraged to apply, those with less experience will still be considered for the position but with relevant adjustments to seniority. Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: Heart Empowerment Xcellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also: Competitive Salaries & Bonuses Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.) Access to Corporate Discounts and exclusive Employer Perks Medical & Retirement Plans Professional Learning and Development Opportunities Elevate your work using cutting-edge technology Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam Regular company & social events Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Location: Indiana Private practice with no doors and no overhead. BetterHelp is one of the world’s largest online therapy platforms for mental health professionals who want to focus on client care — not admin or overhead. You provide the expertise. We handle the rest. Why Join BetterHelp $1,000 first client bonus* — Earn more when you see your first insurance client within 30 days of applying. New increased hourly compensation : Therapists can earn between $55-$70 per hour (up to 57% more for insurance sessions). $650 Health Benefit Stipend: Eligibility for the Health Benefit Stipend requires a continuous commitment of 30 hours a week No insurance headaches: No clawbacks. No payment delays. We handle everything — you get paid weekly for every session. Increase Caseloads: 70% of clients use insurance, helping you build and sustain a strong caseload. Additional Benefits Work from the comfort of home (fully remote) Flexible schedule – you set your own hours. Free access to 390+ CEU courses Free BetterHelp membership for self-care Insurance + cash-pay clients available Additional bonuses & incentives for high performers Zero overhead: No fees are collected from the therapist, ever. Autonomy over clinical decisions Access and connect with our community of over 30,000 therapists We’re Looking For LCSW, LPC, LMFT, LMHC, Licensed Professional Counselor, or Psychologist / PsyD Experienced Mental Health Therapist or Counselor with a passion for helping adults, couples, or teens. Requirements: 3+ years of mental health counseling experience Master’s or Doctorate in Counseling, Psychology, Social Work, or Marriage & Family Therapy Fully independent license (LCSW, LPC, LMFT, LMHC, etc.) and can provide therapy without supervision. A private and professional environment for conducting sessions. Excellent written communication. Must have professional liability insurance. Reliable Internet connection. Currently residing in the US. NOTE: Unfortunately, if you are an intern or if you require supervision to provide therapy services, you cannot be a provider on BetterHelp at this time. Also, we are unable to accept substance abuse counselors, school counselors, registered nurses, career counselors, Christian counselors, and business coaches (unless they have an additional license as a mental health counselor).

Location: Maryland Private practice with no doors and no overhead. BetterHelp is one of the world’s largest online therapy platforms for mental health professionals who want to focus on client care — not admin or overhead. You provide the expertise. We handle the rest. Why Join BetterHelp $1,000 first client bonus* — Earn more when you see your first insurance client within 30 days of applying. New increased hourly compensation : Therapists can earn between $55-$70 per hour (up to 57% more for insurance sessions). $650 Health Benefit Stipend: Eligibility for the Health Benefit Stipend requires a continuous commitment of 30 hours a week No insurance headaches: No clawbacks. No payment delays. We handle everything — you get paid weekly for every session. Increase Caseloads: 70% of clients use insurance, helping you build and sustain a strong caseload. Additional Benefits Work from the comfort of home (fully remote) Flexible schedule – you set your own hours. Free access to 390+ CEU courses Free BetterHelp membership for self-care Insurance + cash-pay clients available Additional bonuses & incentives for high performers Zero overhead: No fees are collected from the therapist, ever. Autonomy over clinical decisions Access and connect with our community of over 30,000 therapists We’re Looking For LCSW, LPC, LMFT, LMHC, Licensed Professional Counselor, or Psychologist / PsyD Experienced Mental Health Therapist or Counselor with a passion for helping adults, couples, or teens. Requirements: 3+ years of mental health counseling experience Master’s or Doctorate in Counseling, Psychology, Social Work, or Marriage & Family Therapy Fully independent license (LCSW, LPC, LMFT, LMHC, etc.) and can provide therapy without supervision. A private and professional environment for conducting sessions. Excellent written communication. Must have professional liability insurance. Reliable Internet connection. Currently residing in the US. NOTE: Unfortunately, if you are an intern or if you require supervision to provide therapy services, you cannot be a provider on BetterHelp at this time. Also, we are unable to accept substance abuse counselors, school counselors, registered nurses, career counselors, Christian counselors, and business coaches (unless they have an additional license as a mental health counselor).

Location: New York Private practice with no doors and no overhead. BetterHelp is one of the world’s largest online therapy platforms for mental health professionals who want to focus on client care — not admin or overhead. You provide the expertise. We handle the rest. Why Join BetterHelp $1,000 first client bonus* — Earn more when you see your first insurance client within 30 days of applying. New increased hourly compensation : Therapists can earn between $55-$70 per hour (up to 57% more for insurance sessions). $650 Health Benefit Stipend: Eligibility for the Health Benefit Stipend requires a continuous commitment of 30 hours a week No insurance headaches: No clawbacks. No payment delays. We handle everything — you get paid weekly for every session. Increase Caseloads: 70% of clients use insurance, helping you build and sustain a strong caseload. Additional Benefits Work from the comfort of home (fully remote) Flexible schedule – you set your own hours. Free access to 390+ CEU courses Free BetterHelp membership for self-care Insurance + cash-pay clients available Additional bonuses & incentives for high performers Zero overhead: No fees are collected from the therapist, ever. Autonomy over clinical decisions Access and connect with our community of over 30,000 therapists We’re Looking For LCSW, LPC, LMFT, LMHC, Licensed Professional Counselor, or Psychologist / PsyD Experienced Mental Health Therapist or Counselor with a passion for helping adults, couples, or teens. Requirements: 3+ years of mental health counseling experience Master’s or Doctorate in Counseling, Psychology, Social Work, or Marriage & Family Therapy Fully independent license (LCSW, LPC, LMFT, LMHC, etc.) and can provide therapy without supervision. A private and professional environment for conducting sessions. Excellent written communication. Must have professional liability insurance. Reliable Internet connection. Currently residing in the US. NOTE: Unfortunately, if you are an intern or if you require supervision to provide therapy services, you cannot be a provider on BetterHelp at this time. Also, we are unable to accept substance abuse counselors, school counselors, registered nurses, career counselors, Christian counselors, and business coaches (unless they have an additional license as a mental health counselor).

Location: Dubai, United Arab Emirates; Remote Roles - EMEA Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the opportunity The BD Manager is responsible for the overall affiliate growth strategy and execution for OKX in MENA, working with our global team. The BD Manager will proactively seek out and engage closely with potential MENA crypto partners for the purpose of user acquisition and expansion of the OKX platform in the region. What You'll Be Doing Proactively identify and develop affiliates with communities and relationships that consist of HNW clients and professional traders Manage and enhance relationships with HNW clients in MENA, being in contact with them frequently, build partnerships with influencers for the purpose of user acquisition Planning and execution of online and some offline marketing activities, events, and campaigns with influencers/KOLs or media channels Expand the user base and grow awareness of the OKX brand Devise creative ways to identify potential affiliates/KOLs and acquire users What We Look For In You Solid experience in Cryptocurrency, Finance, FX or any related space, with a track record in building large affiliate networks from start to finish Experience in business development or affiliate management Solid connections in the region with HNW clients and professional traders Solid project management skills and the ability to manage multiple priorities and deadlines Understanding of fundamental affiliate customer acquisition KPIs and optimization methods to improve performance through data analysis and segmentation Fluent in English and Arabic is a MUST Nice to Haves Bonus points if you have previously worked at a crypto exchange! Experience working across time zones and cross-cultural teams Passionate about blockchain technology and the crypto payments space Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: We are looking for a highly organized, proactive and discreet Team Assistant to join the CIO Office and support the CIO and leaders within the Enterprise Technologies organization. This role combines executive support, team coordination and operational administration to help the team run smoothly and efficiently. The right person will be able to manage calendars and logistics with a high degree of confidentiality and sound judgment, while also supporting travel coordination, events, team processes, and day-to-day Enterprise Technologies operations. This role will work closely with internal business partners and cross-functional stakeholders to help ensure effective execution across the team. It is well suited to someone who enjoys creating order, staying one step ahead, and helping leaders and teams focus on the highest-value work. What you will do: Executive and team support Provide direct support to the CIO and selected leaders within Enterprise Technologies Help manage day-to-day coordination for the CIO Office and support smooth execution across leadership activities Support recurring leadership team processes and help coordinate across stakeholders inside and outside Enterprise Technologies Help drive follow-through on operational and administrative tasks across the team Team coordination and communication Coordinate the preparation and distribution of the monthly team digest Gather inputs and updates from team leads, ensure consistency across contributions, and follow up proactively to keep deadlines on track Support internal communication and coordination across the leadership team and key stakeholders Help ensure team processes move forward in a timely and well-organized way Calendar and scheduling management Manage and optimize calendars for the CIO and selected leaders, ensuring effective prioritization and efficient use of time Schedule meetings, resolve conflicts, and coordinate across internal and external stakeholders Arrange guest invitations and support meetings with vendors and partners Handle scheduling matters with discretion, strong judgment, and attention to confidentiality Event planning and logistics Organize team events such as offsites, workshops, and vendor meetings Manage end-to-end logistics including venue research, bookings, travel coordination, agendas, and participant communication Ensure smooth execution of events and provide on-site support where needed Administrative and financial support Process invoices and support payment-related workflows Create and manage ZIP requests or other relevant internal purchasing and finance processes Support expense submission and approval workflows Track administrative items to completion and ensure nothing falls through the cracks Travel coordination Book and coordinate travel for the CIO, selected leaders, and team activities as needed, including itineraries, accommodations, and related logistics Ensure travel arrangements are efficient, well communicated, and aligned with internal processes and budgets Operational support Support day-to-day operations across the Enterprise Technologies team Work closely with internal business partners and cross-functional teams to coordinate activities and keep processes moving Assist with documentation, tracking, and follow-up for recurring operational processes Help maintain organized team materials and information needed for smooth execution What we are looking for: Experience in an administrative, team assistant, executive assistant, or operations support role Strong organizational skills and excellent attention to detail Proven ability to support senior stakeholders and manage competing priorities High level of discretion and professionalism when handling sensitive information Strong communication skills, both written and verbal A proactive, service-oriented mindset with strong follow-through Comfort working across calendars, travel booking, finance and administrative processes, and collaboration tools Ability to work independently, anticipate needs, and solve problems with minimal supervision Confidence working in a fast-moving environment and across multiple teams What success looks like: The CIO and supported leaders are well organized and able to focus on priorities Calendars, meetings, travel, and logistics are managed smoothly and with minimal friction Team coordination processes run reliably and with minimal prompting Administrative and finance workflows are completed accurately and on time Internal coordination across Enterprise Technologies and business partners is efficient and dependable Stakeholders experience the role as trusted, thoughtful, proactive, and highly reliable Why join? This role offers the opportunity to work closely with the CIO Office and the Enterprise Technologies leadership team, and to make a visible impact on how the organization operates. You will play a central role in helping leaders stay focused, improving coordination across the team, and ensuring important operational processes run smoothly. #LI-RK1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: - Поддержка мерчантов при интеграции с платежными решениями Noda - Исследование сложных технических и платежных проблем с использованием логов, инструментов мониторинга и внутренних систем - Диагностика инцидентов, выявление коренных причин и координация решений с внутренними командами - Обеспечение стабильной работы платежных потоков и интеграций - Тесное сотрудничество с командами Payments, Automation, SRE, Account Management и Product - Улучшение и поддержка технической документации, руководств по интеграции и внутренней базы знаний - Участие в тестировании интеграций и процессах контроля качества - Наставничество младших сотрудников и повышение стандартов поддержки в команде Требования: - Опыт работы 4+ года в технической поддержке, поддержке интеграций или платежной поддержке - Опыт работы с FinTech, платежными системами, PSP или продуктами открытого банкинга - Глубокое понимание HTTP, API, клиент-серверной архитектуры и платежных потоков - Практический опыт работы с логами и инструментами мониторинга (Kibana или аналогичные) - Понимание процессов управления инцидентами, принципов SLA/SLO и поддержки в продуктивной среде - Опыт работы с базами данных SQL/NoSQL - Сильные аналитические и навыки устранения неполадок - Отличные коммуникативные навыки и умение строить доверительные отношения с мерчантами и внутренними заинтересованными сторонами - Опыт наставничества или поддержки младших сотрудников - Свободное владение русским и английским языками на уровне B2 или выше Условия: - Удалённая работа на полный рабочий день - 28 календарных дней отпуска в год - 7 дней wellness в год - Бонусы до $5000 за рекомендацию успешных кандидатов - 50% оплата профессионального обучения, международных конференций и встреч - Корпоративная скидка на уроки английского - Медицинские льготы с компенсацией до $1000 брутто в год на страхование здоровья или оплату врачей - Организация рабочего места с предоставлением необходимого оборудования - Внутренняя геймифицированная система благодарностей для бонусов и тимбилдинга

Location: US - Culver City, United States; US - United States Scopely is looking for a Sr. Manager, Benefits in North America to join our People team hybrid in Culver City or Remote in the United States! At Scopely, we care deeply about what we do and want to inspire play, every day, whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily. As a Sr. Manager, Benefits, you will lead benefits strategy and operations across the U.S., Canada, and Mexico, with the U.S. as the primary focus. In this player/coach role, you’ll keep programs competitive, inclusive, compliant, cost-effective, and locally relevant while aligning them with Scopely’s global benefits philosophy. You’ll coach Benefits and People Ops team members while staying hands-on with plan design, funding analysis, renewals, vendor management, and daily operations. What You’ll Do Set the strategy, governance, roadmap, and success measures for Scopely’s North America benefits portfolio. Evaluate U.S. health plan funding strategies, including self-insurance feasibility. Model costs, claims, stop-loss, risk, TPA/PBM and carrier options, reserves, and cash flow; present a recommendation to People and Finance leadership. If approved, lead the implementation roadmap. Oversee health and welfare, retirement and savings, leave, disability, wellbeing, and statutory programs across the U.S., Canada, and Mexico. This includes Canadian provincial health coordination and supplemental coverage, and Mexican IMSS-related obligations and statutory benefits. Lead renewals and enrollment across all three countries, including plan design, broker and carrier negotiations, stakeholder alignment, employee communications, and post-enrollment analysis. Own benefits budgets, forecasts, and cost management. Prepare leadership-ready analysis on claims, cost trends, utilization, risk, employee impact, vendor performance, and investment tradeoffs. Ensure programs, policies, documentation, and vendor processes are compliant, controlled, audit-ready, and scalable across U.S. federal, state, and local requirements; Canadian federal and provincial requirements; and Mexican labor and social security requirements. Oversee leave, disability, statutory leave, and return-to-work processes, coordinating across employees, managers, People partners, Payroll, and providers. Strengthen service delivery through better processes, systems, vendor partnerships, operating rhythms, and employee self-service. Identify responsible uses of AI, automation, and analytics to improve operations and decision-making. Partner with the global People team to share North America practices and support acquisitions, entity changes, and market expansion through due diligence, integration, harmonization, and employee communications. Coach and mentor Benefits and People Ops team members, set priorities, and build team capability while executing alongside them. What We’re Looking For Significant experience leading benefits programs at a mid-to-large employer, including strategy, plan design, renewals, vendor and broker management, employee communications, and wellbeing. Direct experience evaluating or implementing self-insured or level-funded health plans, with a strong understanding of fully insured and self-insured tradeoffs, including stop-loss, claims funding, reserves, TPA/PBM arrangements, and risk. Strong working knowledge of U.S. benefits requirements, including ERISA, ACA, HIPAA, COBRA, FMLA, state paid leave and paid family leave programs, nondiscrimination testing, Form 5500, and applicable state and local requirements. Working knowledge of Canadian benefits and leave requirements, including provincial variation and Quebec, and Mexican requirements, including IMSS, Infonavit, year-end and vacation-related payments, profit sharing, and statutory benefits—or the ability to ramp up quickly and manage local advisors and vendors. Experience supporting benefits across multiple countries and balancing consistent principles with local market practices. Experience outside North America is valued. Ability to balance strategic ownership with hands-on execution, manage cross-functional work, make sound recommendations, and coach and develop team members. Strong analytical, financial modeling, organizational, and project management skills, including presenting cost and risk analysis to Finance and executive audiences. Clear communication skills and an employee experience mindset, with the ability to explain complex benefits topics to employees, leaders, and partners. Practical fluency with AI, automation, analytics, or emerging technology, and sound judgment around employee data, privacy, compliance, and human oversight. Bonus Points Experience in technology, gaming, entertainment, or another high-growth environment. Familiarity with leave systems, Workday, Google Workspace, benefits administration platforms, or vendor and broker platforms. Spanish and/or French language skills. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $137,700 — $185,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Bangalore, India Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Abu Dhabi, United Arab Emirates Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Amsterdam, Netherlands Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Barcelona, Spain Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Sao Paulo, Brazil Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.