Вакансии

Location: Hong Kong, Hong Kong SAR 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We’re looking for a Senior Visual Designer to join the Visual System Team, the team responsible for how OKX looks and feels across every product surface, including mobile and web. You’ll work at the intersection of brand expression and product design, crafting the visual layer that makes OKX products feel distinctive, coherent, and trusted. This isn’t a role where you receive a finalized wireframe and simply apply a visual layer. You’ll be involved early, shaping how features are visually conceived, how brand moments are integrated into product flows, and how visual systems scale across an ecosystem of products used by millions. You’ll work within OKX’s Visual Systems infrastructure alongside the Design System and Content System teams, contributing to scalable visual frameworks including illustration guidelines, motion principles, iconography standards, and brand-in-product patterns that raise quality across the entire product. What You’ll Be Doing Design product visual experiences. Create high-quality visual and UI designs for OKX products across trading, wallet, payments, and social features. Own the visual execution of key product surfaces, from concept through to pixel-perfect delivery. Balance beauty with clarity in a domain where trust and usability are non-negotiable. Contribute to visual systems. Work within and contribute to OKX’s visual systems, including shared illustration styles, motion tokens, color systems, iconography, layout patterns, UI components, and design tokens. Your work should strengthen the system, not create one-off exceptions. Think in terms of reusable, scalable assets and patterns, not just individual Bridge brand and product. Translate brand direction into in-product visual experiences. Work with the Brand Design team to ensure that visual identity is consistent from marketing to core product, while adapting it thoughtfully to product goals, user needs, and performance metrics. You’ll help create room for the product’s own visual expression without going off-brand. Design product campaigns and key moments. Create engaging visual experiences for in-product campaigns, launches, and feature moments. These should feel distinctive and expressive while remaining native to the product experience and aligned with the broader brand. Use AI tools in your design workflow. Actively integrate AI into your daily practice using generative tools for ideation, exploration, variation, prototyping, and asset production. You’re expected to experiment with AI-assisted workflows and bring what works back to the team. This is a core part of how we work, not an optional extra. Collaborate cross-functionally. Partner with product designers, engineers, and product managers to ensure visual design decisions are grounded in user needs and technically feasible. Participate in design reviews, give and receive critique constructively, and communicate your rationale clearly. Pitch and present. Propose creative concepts to team leads and stakeholders. Articulate the reasoning behind visual choices, not just what you designed, but why it is the right solution for the user and the brand. What We Look For In You 4–6 years of experience in visual design, UI design, a digital-focused role within a brand team, or a related discipline, with a portfolio demonstrating strong craft, modern taste, and attention to detail. Experience taking product experiences from wireframes to polished, production-ready UI. You understand how visual design supports usability, hierarchy, trust, product goals, and measurable outcomes, not just aesthetics. Strong UI and digital design fundamentals across product, responsive web, and mobile experiences. Mobile-first experience is essential. Exceptional visual craft across typography, color, composition, layout, interaction, and detail. You have a clear point of view, make thoughtful design decisions, and care about the polish that separates good from great. Experience creating or contributing to scalable design systems. You understand tokens, components, patterns, and how to create a coherent visual language across a product. Comfortable working at the intersection of brand and product. You can translate brand direction into product experiences that meet user and business needs while leaving room for distinctive product expression. AI-forward in your practice. You actively use generative tools for ideation, exploration, prototyping, and production, and are excited to experiment with new workflows. You use AI with strong creative judgment, refining outputs rather than relying on unedited generated assets, and look for ways to make visual work more scalable. A clear, collaborative communicator who can articulate design rationale and work effectively with product designers, engineers, product managers, and Brand Design. Proficiency in Figma and prototyping tools, with the ability to communicate interaction and motion intent through high-fidelity prototypes. Experience creating light animation is a strong plus. Experience with 3D software or a genuine willingness to learn is also highly valued. What Sets You Apart Experience designing for fintech, crypto, or trading platforms — you understand the visual language of trust, precision, and data density. Strong visual. illustration and interaction idea skills — you can create original visual assets, not just compose them. An exceptional eye for layout, composition, and hierarchy. You can turn ideas into clear, high-quality visual solutions quickly and decisively. Comfortable working in a fast-paced environment, balancing speed with a high bar for craft and attention to detail. Experience working with globally distributed teams across offices and time zones. Familiarity with how visual design integrates with front-end implementation. You understand CSS, design tokens, and component architecture well enough to collaborate effectively with engineers. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants 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 .

OKX10 дн назад

Project The Persian | Robotics Teleoperator

Location: Singapore, Singapore 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We’re looking for a Senior Visual Designer to join the Visual System Team, the team responsible for how OKX looks and feels across every product surface, including mobile and web. You’ll work at the intersection of brand expression and product design, crafting the visual layer that makes OKX products feel distinctive, coherent, and trusted. This isn’t a role where you receive a finalized wireframe and simply apply a visual layer. You’ll be involved early, shaping how features are visually conceived, how brand moments are integrated into product flows, and how visual systems scale across an ecosystem of products used by millions. You’ll work within OKX’s Visual Systems infrastructure alongside the Design System and Content System teams, contributing to scalable visual frameworks including illustration guidelines, motion principles, iconography standards, and brand-in-product patterns that raise quality across the entire product. What You’ll Be Doing Design product visual experiences. Create high-quality visual and UI designs for OKX products across trading, wallet, payments, and social features. Own the visual execution of key product surfaces, from concept through to pixel-perfect delivery. Balance beauty with clarity in a domain where trust and usability are non-negotiable. Contribute to visual systems. Work within and contribute to OKX’s visual systems, including shared illustration styles, motion tokens, color systems, iconography, layout patterns, UI components, and design tokens. Your work should strengthen the system, not create one-off exceptions. Think in terms of reusable, scalable assets and patterns, not just individual Bridge brand and product. Translate brand direction into in-product visual experiences. Work with the Brand Design team to ensure that visual identity is consistent from marketing to core product, while adapting it thoughtfully to product goals, user needs, and performance metrics. You’ll help create room for the product’s own visual expression without going off-brand. Design product campaigns and key moments. Create engaging visual experiences for in-product campaigns, launches, and feature moments. These should feel distinctive and expressive while remaining native to the product experience and aligned with the broader brand. Use AI tools in your design workflow. Actively integrate AI into your daily practice using generative tools for ideation, exploration, variation, prototyping, and asset production. You’re expected to experiment with AI-assisted workflows and bring what works back to the team. This is a core part of how we work, not an optional extra. Collaborate cross-functionally. Partner with product designers, engineers, and product managers to ensure visual design decisions are grounded in user needs and technically feasible. Participate in design reviews, give and receive critique constructively, and communicate your rationale clearly. Pitch and present. Propose creative concepts to team leads and stakeholders. Articulate the reasoning behind visual choices, not just what you designed, but why it is the right solution for the user and the brand. What We Look For In You 4–6 years of experience in visual design, UI design, a digital-focused role within a brand team, or a related discipline, with a portfolio demonstrating strong craft, modern taste, and attention to detail. Experience taking product experiences from wireframes to polished, production-ready UI. You understand how visual design supports usability, hierarchy, trust, product goals, and measurable outcomes, not just aesthetics. Strong UI and digital design fundamentals across product, responsive web, and mobile experiences. Mobile-first experience is essential. Exceptional visual craft across typography, color, composition, layout, interaction, and detail. You have a clear point of view, make thoughtful design decisions, and care about the polish that separates good from great. Experience creating or contributing to scalable design systems. You understand tokens, components, patterns, and how to create a coherent visual language across a product. Comfortable working at the intersection of brand and product. You can translate brand direction into product experiences that meet user and business needs while leaving room for distinctive product expression. AI-forward in your practice. You actively use generative tools for ideation, exploration, prototyping, and production, and are excited to experiment with new workflows. You use AI with strong creative judgment, refining outputs rather than relying on unedited generated assets, and look for ways to make visual work more scalable. A clear, collaborative communicator who can articulate design rationale and work effectively with product designers, engineers, product managers, and Brand Design. Proficiency in Figma and prototyping tools, with the ability to communicate interaction and motion intent through high-fidelity prototypes. Experience creating light animation is a strong plus. Experience with 3D software or a genuine willingness to learn is also highly valued. What Sets You Apart Experience designing for fintech, crypto, or trading platforms — you understand the visual language of trust, precision, and data density. Strong visual. illustration and interaction idea skills — you can create original visual assets, not just compose them. An exceptional eye for layout, composition, and hierarchy. You can turn ideas into clear, high-quality visual solutions quickly and decisively. Comfortable working in a fast-paced environment, balancing speed with a high bar for craft and attention to detail. Experience working with globally distributed teams across offices and time zones. Familiarity with how visual design integrates with front-end implementation. You understand CSS, design tokens, and component architecture well enough to collaborate effectively with engineers. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants 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 .

VALD10 дн назад

Financial Controller

Location: Brisbane, Australia About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 13,000 clients in over 150 countries. If you have a favourite team in the NBA, EPL, or NFL, there’s a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 400 people in over 35 countries, with five offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offers unparalleled insight into human movement, performance, injury risk and rehabilitation. About the role We are seeking a Financial Controller to take full ownership of VALD's day to day finance function across all group entities. You will join a strong, capable finance team already in place, and your role is to manage, mentor and empower them to take the function to the next level. You will oversee the monthly close, consolidation, audit, tax compliance, treasury and transactional finance. This is a hands on leadership role in a fast growing, multi-entity, multi-currency SAAS business. You will coach the team, build their technical and commercial capability, and create the structure, processes and controls that let them scale with the business. You will also own the control environment and act as the first point of contact for finance matters across the business. Success means a confident, high performing team delivering accurate, on time numbers that the executive team trusts, with minimal escalation. The ideal candidate is a technically strong CA/CPA with an audit background and several years in an industry controller or senior finance role, ideally in technology or subscription businesses. You will have a genuine track record of developing people and raising a team's performance. Experience with NetSuite, mergers and acquisitions, international tax and multi-jurisdiction groups is highly regarded. You will be a team player with a can do attitude, comfortable moving between hands on tasks, detailed review and big picture process design. What will you do? Finance operations and month-end close • Own the monthly, quarterly and annual close across all group entities, delivering to an agreed close calendar. • Oversee multi-entity consolidation, intercompany reconciliations and eliminations, and foreign currency translation. • Ensure balance sheet reconciliations are completed, reviewed and supported each month. • Own revenue accounting for bundled hardware and subscription contracts (AASB 15 / ASC 606), including deferred revenue and billing integrity. • Deliver monthly management reporting packs. Transactional finance and treasury • Oversee accounts payable, expense management and payroll across jurisdictions. • Manage daily cash, bank relationships, cash flow forecasting and FX exposure. • Maintain banking facilities, covenant monitoring and lender reporting. Financial reporting, audit and compliance • Review statutory financial statements under AASBs and US GAAP. • Ensure statutory and local entity filings are lodged on time. • Review technical accounting positions, including business combinations, share-based payments. Tax • Oversee tax compliance across all jurisdictions: income tax, GST/VAT/sales tax, payroll taxes and R&D tax incentive claims. • Coordinate external tax advisors and maintain transfer pricing documentation and intercompany agreements. • Monitor sales tax nexus and indirect tax obligations as the business expands into new markets. Controls, systems and process improvement • Design, document and maintain a scalable internal control framework, including delegations of authority. • Act as finance system owner for NetSuite and connected tools, driving automation and ERP enhancements. • Integrate acquired businesses into VALD's finance processes, systems and reporting. • Continuously improve close efficiency, data quality and reporting turnaround. Team leadership and business partnering • Lead, coach and develop the finance team, setting clear priorities and standards. • Act as the day to day finance contact for the business, resolving queries without escalation. • Provide actuals, data and analysis to support budgeting, forecasting and strategic projects led by the Head of Finance. Skills, Experience and Competencies Technical skills and knowledge • Strong working knowledge of AASBs; US GAAP experience highly regarded. • Proven ownership of month end close and consolidation for a multi-entity, multi-currency group. • Solid understanding of revenue recognition for subscription arrangements. • Working knowledge of Australian and international tax compliance, including indirect taxes and R&D incentives. • Experience designing and operating internal controls in a growing business. To qualify for the role, there are some basic minimum requirements: • CA/CPA qualified (or equivalent). • 8+ years' experience, including at least 2 years in commercial roles. • Audit background (Big 4 or mid-tier) highly regarded. • Technology, SAAS or hardware enabled subscription experience an advantage. • Hands on NetSuite experience strongly preferred; system administration or implementation experience a bonus. • Exposure to acquisitions and post acquisition integration desirable. Competencies and attributes • Takes genuine ownership: reliable, organised and delivers without being chased. • Leads and develops people, with high standards and a supportive style. • Continuous improvement mindset with a bias towards automation and scalable processes. • Commercial mindset; explains accounting matters in clear, practical terms. • High attention to detail balanced with the judgement to prioritise what matters. • Proactive, adaptable and energised by a fast-paced, changing environment; no task too big or small. • Comfortable working across time zones. Why VALD? You will be working in a fast-paced, dynamic company that has a culture around the belief that anything is possible with hard work, creativity, dedication, and good timing. VALD's best asset is not our technology but our people and culture. We have a range of benefits we offer to our team. Some of our perks and benefits include: Competitive market salary in a down-to-earth, inclusive and vibrant work environment. Learning from a range of high-performing individuals and teams across a range of disciplines and geographies doing interesting and varied work. Flexible working environment, with a casual dress code – no more corporate attire, T–shirts are the norm. You can also say goodbye to billable hours and timesheets. Table tennis, basketball court, end-of-trip facilities with bike and scooter racks if that’s your thing. Chefs that prepare you delicious fresh breakfast and lunch every day! On-site barista to make your coffee just as you like it. Team gym, remedial massage therapy, subsidised access to physiotherapy and exercise physiology services. Diversity & Inclusion Commitment While the successful candidate should be an Australian Citizen or Permanent Resident, we are committed to growing and empowering an inclusive VALD team. That's why we actively encourage applications from candidates from all backgrounds, experiences, and perspectives. If you require accessibility assistance at any stage of the process, please let us know.

Welo Global10 дн назад

Location: California Workplace: onsite Overview We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is hands-on, execution-focused work. You’ll be supporting a robotics data collection pilot using I2RT YAM bimanual robotic arms. Each station is staffed by two people, and you’ll carry out assigned teleoperation and human-robot interaction tasks to help capture reliable, consistent data. Project Details Location: Palo Alto, CA — 100% onsite Type: Full-time, short-term W-2 employee Schedule: Full-time; 8 hours/day, 5 days/week. Must be able to stand for extended periods during shifts Duration: Minimum 2-week engagement; potential extension through year-end and beyond (extension not guaranteed) Start: ASAP Compensation: US$35/hour Work authorization: Must be authorized to work onsite in the U.S. Key responsibilities Operate physical AI data devices, including teleoperating bimanual robotic arms (I2RT YAM) to execute scripted tasks precisely, following SOPs. Perform human robot interaction tasks per script, including gestures and object handovers. Follow detailed instructions and documented SOPs, adapt to evolving guidelines, and complete hands-on training, applying it consistently. Coordinate closely with your station partner to maintain timing, consistency, and safety. Capture and validate data. Record trial status, notes, and anomalies as directed; promptly flag issues and assist with resets/retries. Adhere to onsite safety, privacy, and data handling protocols; provide constructive feedback to improve procedures. Support fast iteration cycles as tasks, tools, and priorities evolve. Qualifications Bachelor’s degree or equivalent work experience Experience with gaming, simulation tools, or technical systems is a plus Strong hand-eye coordination and spatial awareness Detail oriented, reliable, and consistent in repetitive, process-driven work. Clear communication and teamwork; receptive to coaching and feedback. Prior teleoperation/robotics or lab data collection experience preferred; training provided. Basic computer skills for simple logging and spreadsheets. Preferred Qualifications Exposure to robotics, autonomous systems, drones, or simulation environments Experience with teleoperation, remote control systems, or QA/testing workflows Familiarity with data collection, logging, or annotation processes Ability to quickly learn new software applications Interest in AI, robotics, or emerging technologies Experience working in structured, metrics-driven environments Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

OKX10 дн назад

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity OKX is building a vibrant in-app social community — spanning content, livestream, and creator ecosystems — that connects users, creators, and partners while driving trading engagement across the platform. You'll own the end-to-end Community & Live product, and contribute to north star goals including DAU, high quality creator ratio, and trading conversion within the community, underpinned by a robust safety & moderation stack. What You’ll Be Doing Community & Livesteam Product Own the community and livestream product roadmap: content strategy, content curation, and content recommendation to improve discovery, engagement, and retention. Drive user segmentation and interest discovery — build the frameworks and tooling to understand user cohorts and personalize content and community experiences at scale. Define and improve community content quality standards; own the content/community ecosystem governance roadmap. Creator & Fan Ecosystem Build the creator and fan economy: creator incentive programs, tasks/missions, creator leveling systems, and tiered benefits that deepen streamer-fan and creator-fan relationships. Build up creator lifecycle product capability, including discovery, engagement, onboard, grow, retain, and off-board phases. Drive community's user education, product adoption, and trading conversion via innovative ways including internal advertising, fan economy mechanics, and trader leaderboards to achieve strong content- and trader-driven growth. Community Monetization & Partnerships Design and run community growth campaigns that convert community engagement into platform value (acquisition, activation, trading conversion). Partner with marketing and growth teams to develop content strategies to capture and amplify opportunities from trendy events in the industry. What We Look For In You 5+ years of experience as a product manager, with solid experience shipping social media, community, livestreaming, creator platforms, growth campaigns, or social products. Hands-on with Trust & Safety or content moderation tooling. Adequate understanding of the crypto industry, trading funnels, and risk/compliance constraints. Able to think and communicate logically, data-sensitive, and able to accurately grasp customer mindsets; strong ability to identify and break down problems quickly. Strong in execution, with good communication and project management skills; able to mobilize cross-functional resources to solve problems and deliver projects on time. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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 .

OKX10 дн назад

Research Scientist, Life Sciences (Computational Chemistry)

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity OKX is building a vibrant in-app social community — spanning content, livestream, and creator ecosystems — that connects users, creators, and partners while driving trading engagement across the platform. You'll own the end-to-end Community & Live product, and contribute to north star goals including DAU, high quality creator ratio, and trading conversion within the community, underpinned by a robust safety & moderation stack. What You’ll Be Doing Community & Livesteam Product Own the community and livestream product roadmap: content strategy, content curation, and content recommendation to improve discovery, engagement, and retention. Drive user segmentation and interest discovery — build the frameworks and tooling to understand user cohorts and personalize content and community experiences at scale. Define and improve community content quality standards; own the content/community ecosystem governance roadmap. Creator & Fan Ecosystem Build the creator and fan economy: creator incentive programs, tasks/missions, creator leveling systems, and tiered benefits that deepen streamer-fan and creator-fan relationships. Build up creator lifecycle product capability, including discovery, engagement, onboard, grow, retain, and off-board phases. Drive community's user education, product adoption, and trading conversion via innovative ways including internal advertising, fan economy mechanics, and trader leaderboards to achieve strong content- and trader-driven growth. Community Monetization & Partnerships Design and run community growth campaigns that convert community engagement into platform value (acquisition, activation, trading conversion). Partner with marketing and growth teams to develop content strategies to capture and amplify opportunities from trendy events in the industry. What We Look For In You 5+ years of experience as a product manager, with solid experience shipping social media, community, livestreaming, creator platforms, growth campaigns, or social products. Hands-on with Trust & Safety or content moderation tooling. Adequate understanding of the crypto industry, trading funnels, and risk/compliance constraints. Able to think and communicate logically, data-sensitive, and able to accurately grasp customer mindsets; strong ability to identify and break down problems quickly. Strong in execution, with good communication and project management skills; able to mobilize cross-functional resources to solve problems and deliver projects on time. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants 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 .

Anthropic10 дн назад

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Gramian Consulting Group10 дн назад

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Gramian Consulting Group10 дн назад

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Gramian Consulting Group10 дн назад

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Gramian Consulting Group10 дн назад

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Gramian Consulting Group10 дн назад

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Gramian Consulting Group10 дн назад

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Gramian Consulting Group10 дн назад

Become a Luxury Brand Evaluator in St. Thomas, VI

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

LBC Mortgage10 дн назад

GEO Specialist

Location: Los Angeles, United States; Warsaw, Poland; Tbilisi, Georgia; Batumi, Georgia; Buenos Aires, Argentina; Tallinn, Estonia Think You Can Make AI Notice Us? Prove It. At LBC Mortgage, we’re looking for a curious, ambitious, and unconventional thinker who is ready to experiment, challenge assumptions, test new ideas, and help make our brand visible across the rapidly evolving world of AI platforms. The way people discover businesses is changing. More and more people are turning to AI assistants like ChatGPT, Gemini, and Perplexity to ask questions, compare services, and decide which companies deserve their attention. We want LBC Mortgage to be part of those conversations. Not just on Google. Not just on social media. We want our brand to be discoverable, recognizable, and accurately represented wherever people search for answers, recommendations, and solutions. Your mission is simple: help make LBC Mortgage impossible to overlook. We’re not looking for someone who needs ten years of experience, a complicated strategy document, or permission to try every new idea. We’re looking for someone who is genuinely interested in how AI works, enjoys exploring new tools, and isn't afraid to test an approach that nobody on the team has tried before. You don't need to know everything on day one. You need to be willing to learn, think independently, take initiative, and turn ideas into action. This is not about taking reckless risks or doing things without a plan. It’s about having the confidence to experiment intelligently, measure results, and improve continuously instead of assuming that yesterday’s methods will always work tomorrow. You will help establish and maintain our presence across relevant business directories, search engines, review websites, social platforms, online communities, and emerging AI-driven discovery channels. You’ll work on making sure our business information is accurate and consistent, our profiles are complete, and our content clearly communicates who we are and what we do. You’ll also explore how brands are mentioned in AI-generated answers, identify opportunities to strengthen our online presence, and investigate what helps AI systems discover and understand reliable information about businesses. From improving business listings to researching customer questions, contributing appropriately to relevant communities, and testing new content strategies, your work will help us understand how to become more visible in a world increasingly shaped by AI. You should be comfortable following a strategy while also recognizing opportunities to improve it. If you notice something that could work better, speak up. If you discover a promising platform, explore it. If you have an idea worth testing, explain your reasoning and help us evaluate the results. We value people who combine initiative with accountability and creativity with attention to detail. Most importantly, we want someone who sees this role as an opportunity rather than a checklist. Someone who wants to help shape how a brand competes in a changing digital landscape. Someone who understands that there may not always be a ready-made answer and is willing to find one. We’re not promising that every experiment will succeed. We’re offering the opportunity to explore, test, learn, and contribute to something that is evolving in real time. You’ll have a clear objective, the freedom to investigate different approaches, and the responsibility to turn what you learn into meaningful progress. Don’t just tell us you’re different. Show us how you think, what you’re curious about, and what you would try first. Ready to make AI notice us? Apply.

CXG10 дн назад

Location: Saint Thomas, Virgin Islands, U.S.; Red Hook, Virgin Islands, U.S.; Charlotte Amalie, Virgin Islands, U.S. Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. Join CXG, the global leader in customer experience, and work alongside iconic brand names. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. • Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. • Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: 1. Choose your assignments - align your missions with your personal preferences and profile. 2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. 3. Observe carefully - check the ambiance, service quality, and overall customer experience. 4. Provide honest feedback - use our platform to share your observations through questionnaires. Perks of the Role: • Collaborate with iconic brands across industries. • Flexible assignments tailored to your interests. • Compensation for your time and input, with the potential for reimbursement on purchases. • A user-friendly platform for managing missions and feedback. How to Join the CXG Community: 1. Register: sign up at live.cxg.com and confirm your email. 2. Complete your profile: fill out your details to 100% and get verified. 3. Get certified: pass the General Certification to access missions. 4. Apply for missions: explore assignments with brands that excite you. 5. Start evaluating: begin making a difference in the luxury market. Compensation: • Non-Purchase Evaluations: Earn a fee based on mission complexity. • Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Must be 18 years or older (21 years or older in the United States). Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers.

Intetics10 дн назад

Senior Go Engineer (6 month project)

Location: Denmark We are looking for a Senior Backend Engineer to join a large-scale issuer processor migration programme within the payments domain. The role is focused on building and integrating high-volume backend systems, supporting complex platform migrations, and ensuring the reliability of business-critical services throughout the programme lifecycle. Location Denmark is the preferred location for this role. What you'll be working on Design, develop, and maintain backend services using Go/Golang Build integrations between complex client and vendor platforms Work with transaction processing systems, APIs, and event-driven architectures Contribute to distributed systems and microservices-based solutions Support technical integration activities across multiple platforms Perform technical analysis related to migration and integration initiatives Participate in testing throughout different stages of the migration programme Investigate and resolve technical issues arising during integration and migration Work in cloud-native environments using modern engineering practices Help ensure the stability, reliability, and continuity of high-availability, business-critical systems Collaborate closely with client, vendor, and engineering teams throughout the programme lifecycle Requirements What we're looking for Strong commercial experience with Go/Golang Proven experience designing and building complex backend systems Solid understanding of distributed systems and microservices architecture Hands-on experience with event-driven platforms such as Kafka Strong knowledge of API design and system integrations Experience working on large-scale migration or integration programmes Experience with cloud-native environments and modern engineering practices Ability to work with high-volume, high-availability backend services Experience troubleshooting complex technical issues across integrated systems Strong collaboration skills and confidence working with both client and vendor teams Relevant domain experience Experience in any of the following areas would be highly valuable: Card payments Issuer processing Banking Fintech Transaction switching Payment infrastructure Other transaction-heavy or real-time processing environments The ideal candidate combines strong backend engineering expertise with practical experience working on complex integrations and migration programmes, particularly in environments where reliability, scalability, and continuity are critical.

УдалённоseniorDenmark

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Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Gramian Consulting Group10 дн назад

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Gramian Consulting Group10 дн назад