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Location: London, England, United Kingdom Company Overview ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London, Zurich and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives. At ClearView, you will encounter an entrepreneurial environment, interact with a dynamic group of colleagues, present to clients in critical business situations, and develop a deep understanding of the life sciences and biopharmaceutical industry. You will be mentored directly by ClearView managers, who have a wealth of experience in life sciences consulting. In addition, you will be exposed to a wide variety of business issues including new product planning, pricing & market access, investor services, launch and product commercialization. Role Overview You will interact with both clients and teams within ClearView to address critical strategic questions within the biopharmaceutical space. During the course of a typical project, you will engage in a number of activities, including: Conduct complex problem-solving through a hypothesis-based approach Able to conduct a straightforward project or workstream with moderate oversight Create and utilize analytic tools (e.g., forecast models) to support key decision-making Communicate recommendations to clients to inform strategy and maximize value Qualifications The successful Life Sciences Senior Analyst candidate must have the following skills and experience: Undergraduate or Master’s degree in the life sciences or equivalent field At least 18 months of experience in life sciences consulting Demonstrated experience in consulting and the life sciences industry through a combination of internships, research, and project management Strong written and oral communication skills in English Enthusiasm for working collaboratively in a dynamic, team-based environment Demonstrated leadership abilities Highly analytical approach to solving complex problems Ability to work in a hybrid work model out of our London office; new hires will be in office 100% during onboarding and training will then go to 80% in office through month nine (9) and then the schedule adjusts to a 50% in office expectation after that What We Value We recognize that not every candidate will meet every qualification listed. If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration. Equal Opportunity Employer ClearView Healthcare Partners ("CV") is an Equal Opportunity employer.  All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Location: Nairobi Workplace: OnSite ABOUT THE COMPANY Mogo is Kenya's fast-scaling fintech - part of Eleving Group, a global financial services platform operating across 16+ countries. We are redefining access to vehicle financing, microfinance, and smartphone financing for everyday Kenyans. Our mission is simple: make progress accessible. We are dedicated to fostering upward social mobility in diverse communities by providing credit access to entrepreneurs who are often excluded from traditional banking. Through a combination of asset financing, fintech innovations, AI-based underwriting, and proprietary car portals, we empower local entrepreneurs, such as motorcycle taxi riders, Uber/Bolt drivers, and small business owners, to purchase their own vehicles and obtain loans to expand their businesses.   ABOUT THE ROLE We are looking for a data-driven and hands-on Debt Collection Process Lead to design, optimize, and manage end-to-end collections workflows for vehicle and device finance in Kenya. In this role, you will lead initiatives that strengthen the customer repayment experience while ensuring collections operations remain efficient, compliant, and scalable. On a day-to-day basis, you will work closely with the Head of Debt Collection and partner teams across Credit/Risk, Customer Service, Product/IT, and Legal to turn data insights into operational improvements. This is a high-impact role for someone who is proactive, structured, and takes full ownership. WHAT YOU WILL DO 1. Process design & optimization - Design and continuously improve consumer collections processes across all delinquency stages - Introduce and scale automation (case allocation rules, workflows, customer communications) and explore robotics/AI use cases to improve efficiency and cost-to-collect. - Audit current workflows, improve them end-to-end (test and implement changes), and design new processes where needed. 2. Documentation & training - Create and maintain SOPs, playbooks, and training materials to ensure consistent execution across internal teams and external partners (if applicable). - Support onboarding and continuous training for collections agents and related stakeholders. 3. Cross-functional delivery - Partner with Customer Service, Credit/Risk, Product/IT, Legal, and any BPO/agency partners to implement data-driven collections improvements. - Coordinate testing and rollouts of new strategies, communications, tooling changes, and policy updates. 4. Continuous improvement - Use customer feedback, agent input, and performance analytics to identify bottlenecks (e.g., contractability, broken PTP, queue management, dispute handling). - Propose improvements, drive execution, and track impact through clear initiatives and timelines. 5. Compliance & governance - Ensure processes, scripts, and customer communication standards meet local regulatory requirements and internal policies. - Maintain alignment with consumer protection principles, complaint handling expectations, and audit readiness. 6. Performance measurement & reporting - Monitor performance metrics and initiative results using tools such as Power BI and SQL (or equivalent reporting systems). - Communicate outcomes and next steps clearly to stakeholders, including regular updates to the Head of Debt Collection. WHAT YOU HAVE Must-Haves (Required) - Experience in improving operational processes - Comfortable working with data and dashboards to understand performance and track results (strong Excel skills). - Ability to work with different teams and get things done together (Customer Service, Credit/Risk, Product/IT, Legal, and external partners when needed). - Strong sense of ownership, with good communication and stakeholder management skills. - Willingness to relocate to Nairobi (Kenya). Preferred - Experience with debt collection processes. - Interest in automation and practical tech improvements (rules-based case allocation, workflow tools, customer communications; curiosity about AI is a plus). - Working experience with Power BI, SQL, or similar tools. WHAT WE OFFER - Results-oriented bonus system. - Housing allowance and periodic flights back to your home country. - Relocation support (flights to Nairobi, visas). - Health insurance.

Location: Paris Workplace: Remote ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Gaming team is made up of hybrid-casual, casual, and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher. You will be joining one of our Live Studios, working on Paper.io http://Paper.io 2. We're a small team of excellent people who take care of everything from ideas to testing, and we intend to grow while maintaining our high standards. ROLE - Support the Art director in the ideation and execution of the game’s vision. - Develop and optimize UX flows of new and existing features. - Create and maintain a comprehensive UI Style Bible and reusable component libraries. - Create high-quality 2D assets (menus, HUDs, buttons, icons, etc) and ensure optimal performance across mobile devices. - Work with Game Designers and the Product Team to ensure UI supports gameplay and accessibility goals. - Iterate quickly based on team feedback and live user data. - Propose creative ideas to boost player engagement and improve the user experience. - Nice to have: experience designing and implementing high-quality, scalable UI systems in Unity. PROFILE - 4+ years experience as a UI/UX Artist on shipped mobile games. - You must have experience designing in Figma. - Excellent design skills, with a keen eye for visual hierarchy, composition, and readability. - A keen eye for emerging mobile game trends with the ability to creatively deconstruct and learn from success cases. - Ability to design, document and execute a consistent UI visual language. - Experience collaborating with cross-functional remote teams. - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work - Fluent in English. BENEFITS - Best-in-class compensation - Other benefits according to the country you reside

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on The single hardest role on the team. You'll own the entire optics and calibration stack — lens selection, image quality, intrinsics, extrinsics, ISP tuning, multi-camera alignment. End to end. Optics and sensor selection - Lens characterization (MTF, distortion, chromatic aberration) - Sensor variant evaluation and selection - Optical mount tolerance budget with the mechanical team - IR filter and lens shading correction approach Image quality and ISP tuning - AE, AWB, color matrix, gamma, lens shading correction - Multi-camera color and exposure consistency - Image quality validation in mixed real-world lighting Multi-stage calibration pipeline - Camera intrinsics and fisheye distortion modeling - Stereo and multi-camera extrinsics - Camera-IMU spatial and temporal calibration - Magnetometer calibration in the assembled stack Calibration infrastructure - Rig design and fixture builds (turntables, lighting, targets) - Calibration software pipeline - Automated verification and QA systems - Documentation for factory deployment Production and field calibration - Factory-floor calibration procedure - Per-unit calibration QA gating - Field calibration drift monitoring - Sensor / lens transition tooling Required technical experience - Hands-on multi-camera calibration (intrinsics, stereo, multi-rig) - Fisheye distortion modeling (Kannala-Brandt or equivalent) - IMU calibration: bias, alignment, Allan variance, temperature curves - Calibration tooling and infrastructure for production - Comfortable in both the optics lab and the calibration software stack Strong plus - OpenCV, Kalibr, or similar calibration frameworks - ISP tuning on Qualcomm, NXP, or Ambarella platforms - AR/VR, autonomous vehicle, or research-grade capture device background - Camera-IMU temporal alignment - Manufacturing calibration line experience - Uncertainty quantification and error analysis About this role Your work determines whether thousands of hours of captured data is usable. Bad calibration is silent — data passes acceptance and fails downstream model training months later. The candidate pool is small. We pay top of band.

Location: Remote Workplace: Remote HyperHug is an international game development studio specializing in the shooter genre. Our main office is based in Cyprus, but our talented team works remotely from around the world. We’re developing Oxide: Survival Island, an immersive multiplayer survival shooter for mobile platforms, and we’re always looking for motivated individuals who want to grow with us, contribute their creativity, and help shape the future of our games. We are seeking an experienced Senior Unity Developer to join our team and contribute to the development and evolution of our flagship game, Oxide: Survival Island. If you know Unity inside and out, including URP and rendering pipelines, you love digging into performance optimization, enjoy working with Addressables, shaders, and multiplayer systems, and eager to help build something meaningful from the ground up — we want to talk to you. This role stays open on an ongoing basis because we’re always interested in meeting exceptional Unity Developers who can make a real impact on the project. WHAT YOU’LL BE DOING - Design, develop, and maintain core gameplay systems and multiplayer features using Unity and C#. - Work with URP-based rendering, shaders, and visual effects with a strong focus on performance and visual quality on mobile devices. - Integrate Unity Addressables for scalable and dynamic UI content. - Profile and optimize game performance: CPU/GPU usage, memory, loading times, and frame stability. - Support LiveOps and seasonal updates by delivering new features, systems, and technical improvements. - Collaborate closely with game designers, artists, and other engineers to turn game concepts into robust, scalable implementations. WHAT WE EXPECT FROM YOU: - 8+ years of experience in Unity development. - Experience working with synchronous multiplayer systems (within the past 2 years). - Deep understanding of URP and Unity rendering workflows. - Experience designing and implementing game mechanics and UI systems. - Shader experience (Shader Graph or HLSL). - Strong C# skills and experience with performance optimization. - Collaborative mindset and great communication skills. - Passion for games and crafting thoughtful user experiences. - Russian language proficiency at C1 level or higher. WHAT WE OFFER: - Competitive salary. - Remote work option or relocation to Cyprus, with full company support including visa and housing assistance. - The chance to shape and influence an ambitious multiplayer survival shooter for mobile platforms. - A strong, supportive team passionate about creating great games. - A flexible work environment. - Opportunities for professional growth. - A culture that values creativity, initiative, and collaboration.

Location: Remote (Global) or onsite/hybrid in Cyprus, Armenia, or Kazakhstan Company: International game development company listed on NASDAQ, focused on bringing core gaming experiences to casual players. What you will do: — Design and develop a framework for creating Playable Ads for the Hero Wars mobile game. — Create efficient internal tools to accelerate the creative development process. — Develop a variety of Playable Ads based on the custom-built engine. — Implement advanced technical solutions and optimize performance across diverse devices. — Act as the lead developer, making key technical decisions and architecture choices. — Mentor and grow the developer team by sharing technical expertise. Requirements: — At least 3 years of experience in Playable Ads development. — In-depth knowledge of JavaScript and commercial experience with Pixi.js or Three.js. — Strong knowledge of shaders and the ability to create FX effects. — Familiarity with Cocos Creator architecture or similar game development tools. — Experience in code optimization and configuring builds with Webpack. — Proficiency with Git and preprocessors like Sass/Less/Stylus or Pug. Culture & Benefits: — Medical care program (including dental) available globally regardless of work location. — Relocation support package available for those joining official offices in Cyprus, Armenia, or Kazakhstan. — Paid vacation days and sick leave to ensure work-life balance. — English language courses, as well as Greek and Armenian lessons for local staff. — Company support for participating in game jams, hackathons, and speaking at conferences. — Vibrant corporate culture with legendary strategic sessions, workshops, and parties.

Location: Kyiv Workplace: onsite Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe. We are looking for a DevOps Team Lead to join our Platform Team and help us scale, secure, and improve our cloud infrastructure. This role combines hands-on technical ownership with team leadership: you will guide DevOps engineers, define platform priorities, improve reliability, and collaborate closely with product and engineering teams. The System Division develops the Ajax software ecosystem — including OS Malevich, the Video Management System, cloud infrastructure, and client applications. The team ensures the stable operation of all system components as a unified digital platform. Requirements: 5+ years of experience in DevOps, Platform Engineering, SRE, or Cloud Engineering, including 2+ years in a lead or senior ownership role. Strong hands-on experience with Kubernetes, preferably AWS EKS, including cluster operations, networking, autoscaling, workload reliability, and security best practices.Solid AWS experience: VPC, IAM, EC2, RDS, ElastiCache, Route 53, Lambda, Load Balancers, CloudFront/S3 etc. Experience with Infrastructure as Code and configuration management tools, especially Terraform/Terragrunt. Experience with GitOps-based delivery using Argo CD or Flux, and Helm/Kustomize for Kubernetes application management. Strong Linux and TCP/IP networking knowledge, including troubleshooting production systems. Experience with secrets management, access control, and credential rotation practices. Strong observability background: metrics, logs, alerts, SLOs, incident investigation, and tools such as Datadog, Grafana, VictoriaMetrics, ELK, or Opsgenie. Ability to lead technical discussions, explain trade-offs, set priorities, and drive decisions across engineering teams.Strong communication, ownership, task management, and mentoring skills. Desirable: Experience with advanced Kubernetes tooling: Karpenter, KEDA, Envoy, Istio/Linkerd or similar. Experience with streaming platforms such as NATS or Kafka. Operational experience with databases such as MongoDB, MySQL, PostgreSQL, or managed cloud database services. Experience with compliance frameworks such as SOC 2.Background in FinOps, cloud cost optimization, and infrastructure efficiency improvements. Experience with disaster recovery planning, backup strategies, incident response, or production fire drills. Responsibilities: Lead, mentor, and grow the DevOps/Platform team: set technical priorities, support hiring, provide feedback, and foster a culture of ownership and engineering excellence. Own and evolve the Kubernetes platform: cluster architecture, deployment standards, autoscaling, reliability, security practices, and developer experience. Improve CI/CD and GitOps workflows to make deployments safer, more repeatable, and easier for engineering teams. Collaborate with engineering, product, security, and operations teams to align infrastructure improvements with business and product needs. Identify and remove bottlenecks in the software delivery lifecycle, platform operations, and production support processes. Strengthen platform security: access management, secrets management, network controls, compliance requirements, and secure-by-default practices. Build and improve proactive observability: monitoring, alerting, dashboards, incident response processes, and post-incident improvements. Drive cloud cost optimization initiatives and provide practical recommendations for more efficient infrastructure usage. Participate in production support and on-call processes for critical incidents, while continuously improving reliability and reducing operational toil. We offer: The opportunity to suggest and implement your own ideas that directly influence the product and its mass production; A place in a fast-growing company with a motivated and professional team; Competitive salary; Medical insurance; Corporate English classes; The opportunity to participate in Ajax’s internal beta-testing program for security systems; Discounts from partner companies; Discounts on Ajax products. Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.

Location: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We’re scaling from prototypes to manufacturing, and the process maturity needs to match. This role owns the secure manufacturing pipeline — the procedures, tooling, and controls that take a bare board in an untrusted CM facility and turn it into a cryptographically enrolled, OTA-ready device that our cloud fleet trusts. You’ll be the bridge between our secure boot/firmware teams and the cloud control plane, connecting them at the point of manufacture. WHAT YOU'LL DO - Design the secure manufacturing station — Architect the hardware, software, and network stack (HSM, key injection, AWS Private CA) for factory floor provisioning stations. Integrate the secure boot fuse/flashing flow from our secure boot/firmware team. - Build the provisioning toolchain — Own the automation pipeline that takes a bare device through identity provisioning, enrollment, firmware flashing, calibration, and functional test. - Bridge device and cloud identity Enroll every device into a registry with correct credentials for OTA, session heartbeating, and deployment tracking. - Own the End-Of-Line (EOL) test framework — Work with globally distributed teams to define pass/fail criteria for devices leaving the line: sensor calibration, actuator checks, and initial OTA health check. - Work with contract manufacturers —Translate security requirements into CM-executable procedures; threat-model the factory for key leakage, firmware tampering, and supply chain substitution. - Maintain chain of custody — Link each physical serial number to its provisioned identity, calibration records, test results, and firmware version at manufacture. - Collaborate across teams — Work daily with a globally distributed team of firmware, cloud, manufacturing, systems and operational team members. WHAT WE'RE LOOKING FOR - 10+ years of experience which includes manufacturing engineering, with a comparable depth of experience developing test tools and frameworks. Plus experience working with networking in a manufacturing environment, and time focused on secure device provisioning and/or secure manufacturing processes. Ideally 3 years at a Staff level or equivalent. - PKI and device identity — Experience with X.509 certificate lifecycles, mTLS, device authentication and attestation, and managed CA services like AWS Private CA. - AWS infrastructure — S3, IAM, ECS, KMS, CloudHSM and Secrets Manager for secure provisioning workflows. - EOL test and calibration — Hands-on experience defining manufacturing test frameworks, experience with hardware test fixtures. - Scripting and automation — Advanced skills in Python or Bash for developing production-grade provisioning toolchains. - Advanced skills and understanding of Rust, Bazel, Systemd - Embedded Linux systems — Experience with NVIDIA Jetson Orin/Thor platforms. - Secure manufacturing design — Ability to design secure processes for untrusted or semi-trusted offshore CMs and air-gapped station design. - Experience managing quality gates with contract manufacturers - Hardware root of trust understanding — General understanding of secure boot chains, TPM/TrustZone, cryptographic key injection, certificate provisioning, and eFuse programming. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $260,000–$320,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Home Based - Americas; Home based - EMEA; Office Based - London, UK Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of globally-distributed collaboration, with 1200+ colleagues in 80+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are privately held with the intention to list on a public exchange. We are expanding our in-house legal team, creating an opportunity for an exceptional lawyer as Legal Advisor or Legal Counsel. The successful candidate will be a rigorous and effective practitioner with a track record of academic achievement and social engagement. At Canonical, you will have the opportunity to work on a variety of compliance and privacy matters in the technology and enterprise software realm, as well as cutting-edge questions of technology, law and product development. In this role we are looking for someone with some experience in compliance, privacy and product development, paired with an ability to learn and tackle new challenges and complex questions. You should be able to demonstrate good commercial judgement and provide high-quality legal and compliance advice. If you have a rigorous work ethic, capability to grasp details, and the ambition to identify opportunities for improvement, this role is for you. Location : This role is home-based in EMEA or the Americas, with an option of working from our London office. The role entails Drafting and  reviewing corporate policies, spearheading process change and deploying controls to meet compliance regulatory requirements globally Helping develop, maintain and scale global privacy programs. This includes conducting PIAs, ROPAs and supporting operational initiatives Working with cross functional with teams to evaluate the impact of privacy and data protection laws and regulations, including AI regulations Providing legal support to various internal clients across the company, including Canonical’s product teams Working with local counsel in many countries to seek and implement advice What we are looking for in you An exceptional academic track record from both high school and university A degree in law, JD or equivalent, and active licence to practise law or current progress towards that Drive and a track record of going above-and-beyond expectations Professional written and spoken English with excellent drafting and presentation skills Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Appreciative of diversity; polite and effective in a multicultural multinational organisation Ability to stay organised, proactive and efficient Ability to demonstrate good commercial judgement Ability to travel twice a year, for company events up to two weeks long Nice-to-have skills Experience in compliance, data privacy, or product development Leadership and the ability to influence others to embrace new ideas or practices Understanding of the open source software community and values Understanding of the technology industry - silicon, data centers, PCs, connected devices, and software Experience working on in-house legal team and/or law firm What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Detroit, MI Associate Construction Project Manager – Substation Location: Nationwide (Project-Based) Employment Type: Full-Time Travel: Required (Long-Term Onsite Assignments) Build the Backbone of America’s Power Grid Strengthening our nation’s power grid isn’t easy—but reliable electrical service is essential to everyday life. Every time someone charges a device, powers a home, or runs a business, Michels Power, Inc. is behind the scenes making it happen. Michels Power, Inc. is one of the largest and most sought‑after power delivery contractors in the United States. We execute the full spectrum of electrical infrastructure projects, including greenfield substation construction, brownfield upgrades, transmission, and distribution modernization , as well as emergency power restoration. Our Substation Group plays a critical role in building and maintaining the backbone of the electrical grid—delivering reliable, future-ready infrastructure for utilities and communities nationwide. Position Objective The Associate Construction Project Manager – Substation , under direct supervision, serves as project support by planning, organizing, and implementing project management principles. This role must demonstrate an understanding of how the business operates, how changing circumstances are managed, and who to engage for support when needed. Success in this role requires strong written and verbal communication skills, the ability to work independently and as part of a team, meet deadlines, and anticipate and support internal customer needs. Key Responsibilities Promote and maintain a strong safety culture , ensuring compliance with all safety and environmental policies, procedures, and regulations Assist Project Manager(s) in managing projects under direct supervision Support development and tracking of project performance metrics , budgets, and cost controls Assist with cost tracking, labor tracking, scheduling, and reporting Coordinate with field crews, subcontractors, engineers, and utility stakeholders Support material procurement, submittals, and equipment tracking Assist with subcontractor management and contract compliance Maintain project documentation including cost reporting, billing, scheduling, and budgeting records Assist with federal/state agency correspondence and reporting Maintain project schedules under supervision Participate in construction-related meetings to support project coordination Assist in proposal preparation, estimating, and quantity take-offs Provide onsite administrative and project support during long-term assignments Assist with change management, productivity tracking, and project closeout activities Perform other duties as assigned Required Qualifications Bachelor’s degree in Construction Management, Engineering, Project Management , or related field (or equivalent combination of education and experience) 0–3 years of related experience (substation, electrical, or utility construction preferred) Valid driver’s license with an acceptable driving record Ability to travel and commit to long-term onsite project assignments Proficiency with Microsoft Office Suite (experience with job cost tracking or estimating software is a plus) Strong organizational and time-management skills Excellent written and verbal communication skills Demonstrated initiative, adaptability, and willingness to learn and grow Core Developmental Competencies Customer Focus Action Oriented Personal Accountability Drives Results Interpersonal Savvy Values Differences Communicates Effectively Instills Trust Demonstrates Self-Awareness Self-Development Work Environment & Physical Demands Combination of office work and active construction site environments Ability to lift and/or move up to 25 pounds Work may involve a fast-paced environment with frequent interruptions Travel required, including extended onsite assignments Field environments may include exposure to weather conditions, heavy equipment, and moderate to loud noise levels Why Michels Power, Inc.? Ranked No. 1 Electrical Transmission & Distribution Contractor by Engineering News‑Record Recognized leader in substation construction and grid infrastructure projects Family-owned company with long-term stability and growth Invests approximately $5,000 per employee annually in training and development Opportunity to work on large-scale, high-impact infrastructure projects Strong, company-wide safety culture— everyone is responsible Part of one of North America’s largest and most diversified infrastructure contractors Comprehensive Benefits Medical, Dental, and Life Insurance HSA / FSA Options Short- and Long-Term Disability 401(k) Legal & Identity Protection Plans Why You? You want hands-on experience in substation and utility construction project management You thrive in field-based, fast-paced environments You’re motivated to learn and grow within the power and infrastructure industry You value teamwork, accountability, and continuous improvement You want to help build infrastructure that supports communities and the energy grid Join a company that powers progress. Be a part of Michels Power, Inc.—where you don’t just build projects, you build a career. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Philippines Job Summary The Technical Support role is responsible for providing first-line and/or advanced technical assistance to customers, internal users, or partners. This position involves diagnosing and resolving technical issues, guiding users through solutions, and ensuring a high level of customer satisfaction. Key Responsibilities Provide technical support via phone, email, chat, or ticketing systems Troubleshoot hardware, software, network, and system-related issues Diagnose problems and implement effective solutions in a timely manner Escalate complex or unresolved issues to higher-level support teams Document incidents, solutions, and troubleshooting steps in support systems Install, configure, and maintain systems, applications, and devices Assist with system upgrades, patches, and routine maintenance Monitor system performance and proactively identify potential issues Educate users on best practices and proper system usage Collaborate with cross-functional teams (IT, engineering, product teams) Requirements Required Skills & Qualifications Bachelor’s degree in IT, Computer Science, or a related field (or equivalent experience) Proven experience in technical support, help desk, or IT services Strong troubleshooting and problem-solving skills Knowledge of operating systems (Windows, macOS, Linux) Familiarity with networking concepts (TCP/IP, DNS, VPN) Experience with ticketing systems (e.g., ServiceNow, Zendesk, Jira) Good understanding of hardware components and peripherals Strong communication and customer service skills Ability to work independently and under pressure Benefits Preferred Qualifications Certifications such as CompTIA A+, Network+, or ITIL Experience supporting enterprise applications or cloud platforms (e.g., Microsoft 365, Azure, AWS) Knowledge of cybersecurity basics Key Competencies Customer-focused mindset Attention to detail Analytical thinking Time management Team collaboration Adaptability Work Environment May require shift work (including nights/weekends depending on “N” designation) Office-based, remote, or hybrid setup Fast-paced support environment

Location: Moscow, Russia D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer’s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! In this role you will be responsible in supporting both in-place and in-cloud technologies & technology users via defined procedures. The position reports to an IT manager and is part of a team that supports both the voice and data networks for various corporate business functions. Responsibilities Offers technical guidance in managing the company's data and voice networks. Installs, maintains, and provides support for local area networks (LAN), wide area networks (WAN), telephone systems, firewalls, and wireless solutions. Installs, supports, and maintains tools for network management, monitoring, and security. Conducts technical analyses of software, hardware, and transmission systems utilizing various diagnostic tools to ensure efficient network operations. Observes, evaluates, and resolves issues within network and telecom environments to eliminate faults and guarantee high-quality transmission. Engages with third-party service providers and IT vendors. Creates and maintains documentation pertinent to the network environment. Collaborates with other IT specialists (such as the security team, server team, Helpdesk, etc.) on complex projects. Participates in team and project meetings as necessary. Gains insight into the general industry standard usage of supported technologies. Develops a basic understanding of business processes and how they rely on supported technologies. Fosters relationships within the IT department and with clients to enhance collaboration and teamwork essential for achieving organizational goals. Performs other tasks as assigned, with or without accommodations. Works within a team environment that involves frequent use of PCs and collaborative tools. Physical installation and relocation of network devices and associated hardware are required. Requirements Bachelor’s degree in information technology or related business field CCNA certification or similar knowledge advantage, CCNP certification is advantage and preferred Minimum of 5 years of experience in Information Systems Extensive experience with LAN, WAN, SD-WAN, and wireless technologies, encompassing routing, switching, routing protocols, network hardware, management, and security Proficient in the deployment and operations of Fortinet technologies Experience with Cisco networking solutions Familiarity with Microsoft Azure infrastructure and operations Solid understanding of the OSI model Skills in advanced data network design Significant experience with telephony systems, including PBX, voicemail, and related platforms Able to develop and troubleshoot programming for voice systems and call routing Strong knowledge of carrier network interfaces and services, proficient in VOIP/TDM and TCP/IP environments Exceptional analytical abilities with advanced problem-solving skills, including collaboration with peer technical teams to analyze and resolve cross-platform issues or to create problem-solving techniques, tools, and instructions for new or complex technologies Solid business knowledge with a strong grasp of how supported technologies integrate into business operations, effectively applying this understanding in daily support and addressing unusual or critical issues Knowledge of Linux/UNIX is a plus Essential knowledge of Fortinet NSE Certification or equivalent; NSE certification is preferred Microsoft Azure Fundamentals certification is a preferred advantage Familiarity with VMWare and MS Server is advantageous Excellent communication skills, with strong verbal and written proficiency in English; additional language skills are welcome Candidates have to declare Criminal record extract not older than three months Benefits Broad range of activities, tasks, and projects Flexible working conditions Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: Saint Petersburg, Russia D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer’s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! In this role you will be responsible in supporting both in-place and in-cloud technologies & technology users via defined procedures. The position reports to an IT manager and is part of a team that supports both the voice and data networks for various corporate business functions. Responsibilities Offers technical guidance in managing the company's data and voice networks. Installs, maintains, and provides support for local area networks (LAN), wide area networks (WAN), telephone systems, firewalls, and wireless solutions. Installs, supports, and maintains tools for network management, monitoring, and security. Conducts technical analyses of software, hardware, and transmission systems utilizing various diagnostic tools to ensure efficient network operations. Observes, evaluates, and resolves issues within network and telecom environments to eliminate faults and guarantee high-quality transmission. Engages with third-party service providers and IT vendors. Creates and maintains documentation pertinent to the network environment. Collaborates with other IT specialists (such as the security team, server team, Helpdesk, etc.) on complex projects. Participates in team and project meetings as necessary. Gains insight into the general industry standard usage of supported technologies. Develops a basic understanding of business processes and how they rely on supported technologies. Fosters relationships within the IT department and with clients to enhance collaboration and teamwork essential for achieving organizational goals. Performs other tasks as assigned, with or without accommodations. Works within a team environment that involves frequent use of PCs and collaborative tools. Physical installation and relocation of network devices and associated hardware are required. Requirements Bachelor’s degree in information technology or related business field CCNA certification or similar knowledge advantage, CCNP certification is advantage and preferred Minimum of 5 years of experience in Information Systems Extensive experience with LAN, WAN, SD-WAN, and wireless technologies, encompassing routing, switching, routing protocols, network hardware, management, and security Proficient in the deployment and operations of Fortinet technologies Experience with Cisco networking solutions Familiarity with Microsoft Azure infrastructure and operations Solid understanding of the OSI model Skills in advanced data network design Significant experience with telephony systems, including PBX, voicemail, and related platforms Able to develop and troubleshoot programming for voice systems and call routing Strong knowledge of carrier network interfaces and services, proficient in VOIP/TDM and TCP/IP environments Exceptional analytical abilities with advanced problem-solving skills, including collaboration with peer technical teams to analyze and resolve cross-platform issues or to create problem-solving techniques, tools, and instructions for new or complex technologies Solid business knowledge with a strong grasp of how supported technologies integrate into business operations, effectively applying this understanding in daily support and addressing unusual or critical issues Knowledge of Linux/UNIX is a plus Essential knowledge of Fortinet NSE Certification or equivalent; NSE certification is preferred Microsoft Azure Fundamentals certification is a preferred advantage Familiarity with VMWare and MS Server is advantageous Excellent communication skills, with strong verbal and written proficiency in English; additional language skills are welcome Candidates have to declare Criminal record extract not older than three months Benefits Broad range of activities, tasks, and projects Flexible working conditions Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

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.