Вакансии

Location: Mexico; Colombia; Argentina; Brazil; Costa Rica; Chile About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Language Requirement: Fully bilingual in English & Spanish (spoken and written) Job Summary We are looking for a highly motivated and fully bilingual Sales Development Representative (SDR) fluent in both English and Spanish to support outbound lead generation and appointment setting for investment property loan products. This role is ideal for experienced SDRs with a strong background in cold calling, real estate finance, mortgages, or loan services. You’ll be responsible for engaging potential borrowers, qualifying opportunities, and scheduling appointments for senior loan advisors while maintaining high daily activity levels. The ideal candidate is confident on the phone, understands lending terminology, and thrives in a high-volume outbound sales environment. Key Responsibilities Conduct high-volume outbound prospecting calls to real estate investors and borrowers. Complete a minimum of 100 outbound calls per day. Book and qualify a target of 10 appointments per day for the sales team. Educate prospects on commercial and residential investment property loan solutions. Identify borrower needs and gather preliminary qualification information. Maintain accurate records and pipeline updates within the CRM. Follow up consistently with leads via phone, email, and SMS. Collaborate closely with loan officers and underwriting teams to support deal flow. Manage outbound campaigns using US-based dialer platforms. Maintain professional communication standards in both English and Spanish. Requirements Fully bilingual in English and Spanish (spoken and written) — required. 2+ years of experience in Sales Development, Appointment Setting, or Outbound Sales. Proven cold calling experience with consistent activity and appointment-setting metrics. Background in real estate finance, mortgages, lending, or investment property financing strongly preferred. Experience with loan origination, underwriting, loan processing, or mortgage support is highly advantageous. Strong understanding of commercial and residential investment property loans. Hands-on experience using: CRM platforms: HubSpot, PipeDrive, Go High Level Dialers: AirCall, CloudTalk, or similar US-based dialers Excellent objection-handling and communication skills. Strong organizational and time management abilities. Comfortable working in a fast-paced, KPI-driven remote sales environment. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Tashkent, Uzbekistan We are seeking a driven and highly organised Operations Manager to lead and streamline the operational activities of our real estate development projects. In this critical role, you will oversee the day-to-day business operations across the entire property development lifecycle - from land acquisition and pre-development to construction and final handover. You will act as the vital link between internal teams, external contractors, and local authorities, ensuring that our residential and commercial projects are delivered on time, within budget, and to the highest quality standards. Key Responsibilities Project Lifecycle Management: Oversee operational workflows for multiple real estate projects simultaneously, ensuring smooth transitions between pre-development, design, construction, and close-out phases. Contractor & Vendor Coordination: Manage relationships with general contractors, architects, engineers, and suppliers. Oversee the bidding process, negotiate contracts, and ensure vendors meet performance and delivery standards. Permitting & Compliance: Coordinate with local municipalities to secure necessary zoning approvals, building permits, and inspections. Ensure all site operations comply with local building codes, environmental regulations, and safety standards (OSHA/local equivalents). Budgeting & Cost Control: Monitor project budgets, review construction draw requests, and track operational expenses. Identify cost-saving opportunities and mitigate financial risks associated with material delays or labor shortages. Site Monitoring: Conduct regular site visits to evaluate construction progress, enforce quality control, and resolve on-site operational bottlenecks. Cross-Functional Leadership: Collaborate closely with the Finance, Sales & Marketing, and Legal departments to ensure operational alignment with the company's broader financial and business objectives. Reporting & Analytics: Generate weekly and monthly operational reports for the executive team, detailing project timelines, budget variances, and risk assessments. Requirements Education: Bachelor’s degree in Construction Management, Real Estate Development, Civil Engineering, Business Administration, or a related field. Experience: 5+ years of operational or project management experience within the real estate development, commercial real estate, or construction industry. Industry Knowledge: Deep understanding of the real estate development process, including entitlement, design phases, construction methods, and property management. Financial Acumen: Strong ability to read and manage complex construction budgets, financial pro-formas, and cash flow schedules. Technical Skills: Proficiency in real estate and construction management software and standard office suites. Communication & Negotiation: Exceptional negotiation skills with a proven track record of managing difficult stakeholder conversations and closing favorable vendor contracts. Problem-Solving: Ability to thrive in a high-pressure environment, anticipating site delays or supply chain issues and executing swift, effective solutions. Benefits Competitive base salary and performance-based project completion bonuses. Vehicle allowance or reimbursement for site-travel expenses. Opportunities to work on landmark real estate projects. Professional development and continuous training opportunities.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Product Analyst San Mateo, CA; Los Angeles, CA; or San Diego, CA (Collab) Sony Interactive Entertainment LLC is seeking an Analyst, Product Analytics in California to join our team and contribute to the exciting future of the PlayStation platform. This role involves close collaboration with product feature teams and data partners to ensure effective data utilization and measurement methodologies for data-driven insights and decision-making. The Analyst will oversee end-to-end product analytics projects, including data exploration, KPI design, target setting, measurement planning, and impact assessment. Responsibilities Work closely with product feature teams to understand their roadmap and translate initiative goals into data KPIs, targets, and measurement plans. Extract and integrate data from various sources to support analytical efforts, coordinating with data product, engineering, data science, and other analytics teams as needed. Lead A/B test experiments, validate test data, monitor progress, perform post-test analysis, and provide recommendations for feature release decisions, collaborating with the experimentation platform team as necessary. Convert business questions into data analytics tasks, conduct thorough analyses to segment and explore data, identify key drivers, and generate actionable insights to inform business decisions. Collaborate with data scientists on research and innovation, applying standardized processes and enhancing analytics methodologies as they become available. Contribute to the development and use of digital tools, reporting visualization, and analytical storytelling. Work with the reporting team to define and create automated and self-serve dashboards, providing relevant information efficiently to optimize business operations and track key initiatives. Qualifications Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field, with 3+ years of relevant professional experience in data analysis. A related Master’s Degree is a plus. Experience working with product, business, or other partner teams, including conducting experiments and supporting optimization efforts such as A/B testing, holdout groups, and multivariate analysis is a must. Familiarity with quasi-experimental causal inference methodologies is a plus. Relevant experience in data analysis with advanced SQL, Python/ R skills is required; Experience with user journey tools (e.g., Adobe Analytics) and standard BI tools (e.g., MicroStrategy, Tableau, Domo) is highly preferred. Strong understanding of statistical concepts (e.g., confidence intervals, hypothesis testing) and analytic modeling techniques (e.g., multivariate/linear regression, k-means clustering) is preferred. Excellent written and verbal communication skills, with experience presenting analytical results to non-technical partners. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,100 — $228,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. It's Your Turn. You've landed on the best square on the board. At Hasbro, we've been making the games that end up on family tables, dorm room floors, and game night wish lists for over 100 years. Monopoly. Scrabble. Clue. Risk. Battleship. Connect 4. Trivial Pursuit. Candy Land. Avalon Hill. You probably played them growing up. Now imagine being the lawyer who helps protect, grow, and shape them. We're looking for an Attorney to join our Global Games Legal Team supporting Hasbro Games. If you've got great legal instincts, a collaborative spirit, a sense of humor, and a genuine love for the way games bring people together, read on! As part of our legal team, you'll be a trusted advisor to the people building the next generation of Hasbro's most iconic game brands. That means working across product development, licensing, marketing, emerging tech, entertainment and AI - all in service of games that millions of people around the world know and love. You'll work fast, think on your feet, and never be bored. This role is hybrid out of our new Boston, MA headquarters (onsite Tuesday–Thursday). Until we open that location, you'll work out of our Pawtucket, RI HQ or our temporary Boston space. What You’ll Do As An Attorney: Be the go-to legal advisor for the Hasbro Games business - counseling partners on IP, licensing, advertising, promotions, privacy, regulatory compliance, AI, and emerging tech. Draft and negotiate a wide range of agreements: IP licenses, game concept submissions, talent and consulting deals, tech and AI agreements, marketing and promotion contracts, and NDAs. Navigate the fast-moving world of AI tools, digital platforms, and data-enabled products — from IP ownership questions to responsible AI adoption and translate the complexity into clear, practical guidance for business teams. Guide game and product development, packaging, and campaigns across TV, print, digital, and social including sweepstakes, contests, and consumer promotions. Partner with senior leaders and cross-functional teams to anticipate issues, manage risk, and make great ideas happen without getting stuck in Go Directly to Jail territory. Support licensing deals that extend beloved Hasbro game brands into new worlds -  digital experiences, mobile games, live events, collaborations, and beyond. What You’ll Bring: J.D. from an accredited law school, active bar membership in good standing, and 4 - 8 years of legal experience in a law firm and/or in-house - bonus points if that experience touches games, toys, consumer products, or entertainment. Strong chops drafting and negotiating IP, commercial, and technology agreements. Real experience with AI-enabled tools and advising on AI and emerging tech including risk and clear communication to non-legal partners. Solid grounding in copyright, trademark, and rights of publicity; working knowledge of digital, data, and privacy law. Excellent judgment, clear communication, and creative problem-solving - the kind that finds the “yes and” rather than just the "no." The ability to manage a full docket in a fast-moving environment - juggling multiple games at once, so to speak. Patent licensing experience: nice to have. An actual love of games? That'll take you far. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $137,200 — $205,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via: LinkedIn: https://www.linkedin.com/in/ra... Industrial Engineer – Effectors An advanced aerospace and defense technology company is seeking an Industrial Engineer to help architect and scale next-generation production systems for high-volume autonomous and interceptor platforms. This role is focused on factory design, production system architecture, capacity planning, and manufacturing scale-up. The ideal candidate has experience building production systems from the ground up and understands how to optimize manufacturing operations for throughput, cost, quality, and scalability. This is a highly hands-on and high-ownership role where you’ll help shape manufacturing strategy from early prototype builds through sustained high-rate production. Responsibilities Factory & Production System Design Design scalable factory layouts optimized for flow, throughput, takt time, and operational efficiency Develop production cell concepts for manual, semi-automated, and automated assembly environments Build value stream maps and future-state production workflows Define workstation layouts, labor allocation models, and material flow strategies Design inventory flow concepts including kitting, supermarkets, and point-of-use systems Support production facility build-outs, line expansion planning, and manufacturing infrastructure development Capacity Planning & Rate Scaling Build detailed production rate and throughput models tied to manufacturing demand forecasts Analyze: Takt time Cycle time Throughput Bottlenecks Labor efficiency Capacity constraints Develop scaling strategies for pilot production, low-rate builds, and future high-volume manufacturing Create multi-scenario production plans supporting rate ramps and supplier scaling Identify manufacturing readiness risks and mitigation strategies Production Optimization & Continuous Improvement Implement lean manufacturing principles across production workflows Drive line balancing, waste reduction, and flow optimization initiatives Conduct time studies and labor productivity analysis Support OEE tracking and production performance measurement systems Analyze yield, throughput, cycle time, and rework metrics to improve operational efficiency Help develop standardized work instructions and scalable manufacturing processes Cross-Functional Manufacturing Support Partner closely with manufacturing engineering, supply chain, facilities, quality, and operations teams Participate in design-for-producibility reviews and manufacturing trade studies Support make-versus-buy decisions and contract manufacturing evaluations Assist with supplier industrialization and manufacturing readiness assessments Provide hands-on support during prototype builds, production ramp events, and early manufacturing operations Qualifications Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, or related technical discipline 5+ years of experience in factory design, production system optimization, manufacturing scale-up, or industrial engineering Experience building or supporting high-rate manufacturing environments Strong understanding of: Lean manufacturing Capacity planning Value stream mapping Takt time and cycle time analysis OEE measurement Line balancing Throughput optimization Experience supporting production ramp or greenfield manufacturing build-outs Experience developing production rate models using Excel, Python, VBA, simulation tools, or similar platforms Comfortable working in fast-paced startup or development-stage manufacturing environments U.S. citizenship required; ability to obtain and maintain a DoD security clearance required Preferred Experience Aerospace, defense, automotive, robotics, semiconductor, or other high-volume manufacturing industries Production systems supporting complex electromechanical hardware Factory simulation or digital manufacturing tools such as: FlexSim AnyLogic Arena Simulink ERP, MES, or PLM integration experience High-rate automated assembly or robotics manufacturing Experience scaling manufacturing operations from prototype through production Startup or greenfield factory build-out experience Contract manufacturing and supplier industrialization exposure What Makes This Opportunity Unique This role offers the opportunity to help build a manufacturing operation from the ground up inside a rapidly growing aerospace and defense environment. The team is looking for engineers who understand not only how to optimize existing factories, but how to architect scalable production systems from scratch — balancing cost, throughput, automation, and manufacturability for future high-rate production. You’ll work closely with both engineering and operations leadership while helping define the long-term production strategy for next-generation hardware platforms. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment U.S. citizenship required due to security and export control requirements 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via: LinkedIn: https://www.linkedin.com/in/ra... Salary: $110,000 – $160,000 / year

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Modeling & Simulation Engineer – Operations Analysis An advanced defense technology company is seeking a Modeling & Simulation Engineer to support operational analysis, mission effectiveness studies, and system performance evaluation across next-generation defense and aerospace programs. This role focuses on building and executing high-fidelity simulations that help evaluate sensors, communications systems, missiles, aircraft, autonomous systems, and mission-level engagements in operationally relevant scenarios. The ideal candidate combines strong analytical and statistical capability with hands-on simulation experience and a deep understanding of mission systems, kill chains, and operational environments. This is a highly technical role suited for engineers who thrive in fast-paced environments and enjoy solving complex defense and mission-analysis problems. Responsibilities Design, develop, execute, and analyze mission-level modeling and simulation studies Evaluate system performance and operational effectiveness across complex defense scenarios Build and refine models for sensors, communications systems, aircraft, autonomous systems, missiles, and other mission assets Perform operational analysis using simulation environments such as AFSIM, ESAMS, STK, Brawler, or equivalent mission-level frameworks Apply rigorous statistical analysis methods to simulation outputs to quantify effectiveness, identify trends, and support decision-making Develop Python- and/or MATLAB-based tools for simulation automation, data processing, visualization, and analysis Support modeling efforts spanning radar performance, weapon employment, tracking, guidance, and engagement analysis Create technical reports, visualizations, briefing materials, and operational assessments for technical and non-technical stakeholders Collaborate closely with engineering, systems, and customer-facing teams to translate operational questions into analytical studies Maintain software development best practices including version control, reproducibility, and scalable workflows Qualifications Bachelor’s degree or higher in Engineering, Computer Science, Physics, Mathematics, Statistics, Operations Research, Data Science, or related technical discipline 5+ years of experience supporting defense, aerospace, intelligence, or advanced technology programs Strong understanding of mission analysis, weapon employment concepts, or operational kill chains Experience with one or more operational simulation tools such as: AFSIM ESAMS STK Brawler Physics-based simulation environments Strong Python and/or MATLAB programming skills for scientific computing and analysis Solid statistical analysis and data interpretation capability Experience building analytical workflows, simulations, or mission-level studies with minimal oversight Strong understanding of physics, kinematics, and system-level interactions in operational environments Comfortable working in Linux-based environments and developing scalable analysis tools U.S. citizenship required; ability to obtain a Top Secret clearance required Preferred Experience Radar performance analysis and sensor effectiveness modeling Missile systems, guidance, tracking, or engagement analysis Modeling and simulation of aircraft, autonomous systems, spacecraft, or communications systems Operations analysis or mission engineering experience within defense organizations or government programs Familiarity with Distributed Interactive Simulation (DIS), SIMDIS, VR-Forces, or related visualization environments Experience with software-in-the-loop simulation, autonomy systems, or guidance/navigation/control frameworks Experience supporting DoD, DARPA, AFRL, ONR, intelligence community, or related government programs Active TS/SCI clearance Familiarity with machine learning workflows, GPU acceleration, or advanced scientific computing libraries is a plus What Makes This Opportunity Unique This role offers the opportunity to help build a new operational analysis and modeling capability within a rapidly growing advanced defense environment. The team is looking for engineers who can bridge rigorous analytical thinking with practical mission understanding — people who understand not only how to build simulations, but also how to interpret operational outcomes and identify what truly matters in mission execution. You’ll work on technically challenging problems spanning sensors, weapons, autonomous systems, and mission-level performance evaluation in support of high-impact national security programs. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment U.S. citizenship required due to security and export control requirements 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $140,000 – $190,000 / year

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Principal Mechanical Engineer – Platform Integration An advanced aerospace and defense technology company is seeking a Principal Mechanical Engineer to lead the integration of ruggedized sensor and electronics systems onto large mobile platforms for government and defense applications. This role is focused on translating advanced sensing and electronics technologies into durable, field-deployable systems capable of surviving demanding operational environments across vehicle, trailer, and maritime platforms. The ideal candidate brings deep experience with mechanical integration, ruggedized hardware design, environmental survivability, and large-scale platform constraints. This is a highly hands-on engineering role requiring practical judgment, systems thinking, and the ability to identify integration risks before they become field failures. Responsibilities Lead the mechanical integration of multi-sensor and electronics systems onto mobile ground, trailer-mounted, and maritime platforms Define and manage mechanical interfaces between electronics packages, structural systems, mounting hardware, and vehicle platforms Develop ruggedization strategies for vibration, thermal exposure, dust, sand, corrosion, and harsh environmental conditions Design sensor mounts, enclosures, brackets, and support structures optimized for durability, serviceability, and field deployment Support environmental qualification efforts including shock, vibration, thermal, and environmental testing Collaborate closely with electrical, manufacturing, systems, and program teams throughout development and integration activities Create and manage interface control documentation (ICDs), installation requirements, alignment strategies, and tolerancing schemes Evaluate installation constraints and field-maintenance considerations across complex deployment environments Drive root-cause analysis and resolution of integration or survivability issues discovered during testing or deployment Provide technical mentorship and integration guidance across multidisciplinary engineering teams Qualifications Bachelor’s degree in Mechanical Engineering or related discipline 10+ years of experience in aerospace, defense, or ruggedized platform integration environments Demonstrated experience integrating electronics, sensors, or mission systems onto large mobile platforms such as vehicles, trailers, ships, or other deployable systems Strong understanding of ruggedized mechanical design principles including vibration isolation, thermal management, sealing, shock loading, and environmental survivability Experience designing to environmental qualification standards such as MIL-STD-810 Strong CAD proficiency with experience managing large assemblies and mechanical interfaces Experience developing installation approaches, tolerancing strategies, interface definitions, and integration documentation Practical hands-on engineering mindset with strong troubleshooting and systems integration capability Strong communication skills and ability to work cross-functionally in fast-paced development environments U.S. citizenship preferred; ability to obtain a security clearance is strongly preferred Preferred Experience Multi-spectral sensor system integration including EO/IR, radar, RF, or ISR-related hardware Vehicle, maritime, naval, or trailer-mounted defense platform integration experience Thermal management design for electronics operating in extreme ambient environments Experience designing vibration isolation systems and shock mitigation approaches Familiarity with FEA and structural analysis tools such as ANSYS, NASTRAN, or ABAQUS Experience supporting environmental testing, qualification, and field deployment activities Knowledge of military connectors, ruggedized cabling, and harsh-environment electrical integration Background working with government or defense platform programs Experience bridging electronics packaging requirements with large structural integration constraints What Makes This Opportunity Unique This role sits at the intersection of advanced sensing technology, ruggedized mechanical design, and large-platform system integration. The company is looking for someone who has real-world experience solving difficult integration problems — not just designing isolated hardware components. The right candidate will bring practical engineering judgment, field-tested lessons learned, and the ability to anticipate problems before they become expensive redesigns. You’ll play a key role in helping transform advanced sensing systems into deployable, mission-ready platforms operating in demanding environments. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $180,000 – $230,000 / year

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Principal Mechanical Engineer – Launcher Systems An advanced aerospace and defense technology company is seeking a highly experienced Principal Mechanical Engineer to lead the architecture, design, and integration of next-generation launcher systems supporting UAV and missile platforms. This role will own launcher hardware development from concept definition through production and deployment across mobile ground and maritime applications. The ideal candidate brings deep launcher system expertise, strong electro-mechanical integration capability, and direct experience designing ruggedized hardware for harsh operational environments. This is a highly hands-on technical leadership role suited for engineers who thrive in fast-moving development environments and are comfortable owning complex hardware systems end-to-end. Responsibilities Lead the mechanical architecture and system integration of launcher platforms across ground and maritime environments Define and manage critical mechanical and electro-mechanical interfaces between launcher systems, canisters, payloads, and platform infrastructure Design solutions addressing blast, plume, thermal, and structural loads associated with rocket or missile launch environments Develop gas management, shielding, thermal protection, and structural mitigation strategies Design and integrate deployment, retention, release, and actuation mechanisms Support launch sequencing, safety interlocks, and system-level safing requirements Create and manage interface control documents (ICDs), mechanical specifications, and system integration documentation Serve as a primary technical interface with suppliers, manufacturing partners, customers, and platform integrators Lead supplier technical reviews, design validation efforts, and make-versus-buy assessments Support transition from development into production, qualification, and sustainment activities Mentor and provide technical direction to cross-functional engineering teams Qualifications Bachelor’s degree in Mechanical Engineering or related discipline 10+ years of experience in aerospace or defense mechanical design and system integration Direct experience designing launcher systems, missile integration hardware, UAV launch platforms, or closely related defense systems Strong understanding of blast, plume, thermal, vibration, and dynamic load environments Experience with electro-mechanical integration including power, data, connector, and umbilical systems Hands-on experience designing ruggedized mechanical hardware for harsh environments Strong CAD proficiency using SolidWorks or equivalent tools, including large assembly management Familiarity with military standards and environmental qualification practices including MIL-STD-810 Experience creating and managing interface documentation, tolerancing strategies, and installation requirements Demonstrated ability to lead technical decision-making and resolve complex integration challenges U.S. citizenship and ability to obtain and maintain a security clearance required Preferred Experience Master’s degree in Mechanical Engineering or related field Prior experience serving as technical lead or responsible engineer for launcher or weapons systems programs Experience integrating launcher systems onto mobile or maritime platforms Familiarity with launch sequencing, safe-and-arm systems, fuzing interfaces, and mission-critical safety requirements Experience with structural, thermal, or multiphysics simulation tools such as ANSYS, NASTRAN, ABAQUS, or similar Experience planning and executing hardware integration or environmental testing Knowledge of manufacturing and assembly methods for deployable or ruggedized mechanical systems Familiarity with military connector standards including 38999, ARINC, or Micro-D interfaces Hands-on prototyping, CNC machining, additive manufacturing, or fabrication experience What Makes This Opportunity Unique This role offers the opportunity to help establish a launcher systems capability from the ground up within a rapidly growing advanced defense environment. The engineering team is looking for someone with true launcher domain expertise — not simply general mechanical design experience. The right person will have significant influence over system architecture, integration strategy, supplier engagement, and long-term platform development. You’ll work closely with multidisciplinary teams developing mission-critical systems that must operate reliably in highly demanding operational environments. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment U.S. citizenship required due to security and export control requirements 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $180,000 – $230,000 / year

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Director of Global Logistics An advanced hardware and defense technology company is seeking a Director of Global Logistics to build and lead its end-to-end logistics and international shipping operation. This is a highly strategic and hands-on leadership role focused on standing up scalable global logistics infrastructure from the ground up. The ideal candidate has experience operating in complex, fast-moving environments where they were responsible not only for execution, but also for designing the systems, workflows, and processes behind the operation. The role will oversee international shipping, freight forwarding, customs coordination, export compliance, and logistics operations supporting highly regulated hardware programs and global customers. Responsibilities Global Logistics & Shipping Operations Own all inbound and outbound logistics operations across domestic and international channels Manage carrier selection, routing strategies, freight forwarding partners, and shipment execution Coordinate closely with Manufacturing, Supply Chain, and Program teams to ensure successful delivery execution Ensure shipments are delivered on time, compliantly, and without damage Build scalable shipping workflows capable of supporting increasing production volume and global operations Export Compliance & International Trade Ensure compliance with ITAR, EAR, and other applicable export regulations Oversee export classifications including ECCN and USML categorization Manage international shipment execution including government and defense-related programs Coordinate with customs brokers, freight forwarders, and external logistics providers Maintain documentation, audit readiness, filings, and shipment records Process Development & Operational Scale Establish logistics infrastructure, documentation standards, SOPs, packaging procedures, and shipment workflows Implement scalable operational processes and systems for shipping and trade compliance Help define organizational structure and operational ownership across logistics functions Partner cross-functionally to improve visibility, efficiency, and operational readiness Risk Management & Issue Resolution Identify and mitigate shipping, customs, compliance, and operational risks Resolve shipment delays, customs holds, and transportation issues Act as escalation point for critical logistics and trade-related problems Qualifications 10+ years of experience in logistics, global shipping, international trade, or export operations Strong experience with international freight forwarding and customs processes Working knowledge of ITAR, EAR, export controls, and trade compliance requirements Experience managing customs documentation, brokers, and global shipment execution Proven experience building or scaling logistics operations, processes, or teams Ability to operate both strategically and tactically in a fast-paced environment Strong cross-functional communication and operational leadership skills Preferred Experience Defense, aerospace, advanced manufacturing, or other regulated hardware industries Experience supporting FMS, government, or defense-related shipment requirements Familiarity with ERP, WMS, or TMS platforms and logistics system integrations Experience managing 3PLs, freight forwarders, and external logistics partners at scale Exposure to ATA Carnet processes and temporary import/export workflows Startup, scale-up, or high-growth operational experience strongly preferred Licensed Export Compliance Officer certification or equivalent experience is a plus What Makes This Opportunity Unique This is an opportunity to build a global logistics function from the ground up inside a rapidly scaling advanced hardware environment. The company is looking for someone who can create structure, processes, and operational rigor where little infrastructure currently exists. The right person will have significant ownership and influence across logistics strategy, trade compliance, operational scaling, and international execution. The role is best suited for someone who enjoys building systems, solving complex operational problems, and operating close to hardware, manufacturing, and mission-critical delivery timelines. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Onsite collaboration environment 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $120,000 – $180,000 / year

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are seeking a skilled & hands-on Senior Security Architect for Kraken Security Labs. Kraken Security Labs provides boutique-style, deeply technical internal security consulting on current and future products. We don't merely provide high-level guidance but indeed get deeply embedded in the different engineering teams and do not mind hands-on work. Our projects span from classical infrastructure security projects, over cryptography, web3, and complex Rust projects, to securing our next generation of AI products. You will work in a small, highly technical team and collaborate with teams all across the company & world.   THE OPPORTUNITY - Design, review & verify robust security architecture in a heterogeneous environment - Conduct thorough security assessments and audits of existing architectures, recommending practical improvements - Stay updated with latest (blockchain) security trends, threats and mitigation techniques - Provide expertise to our blockchain teams, ensuring secure operational practices   WHAT YOU BRING - Proven experience as an IT security expert, with a strong background in application security - Experience in security testing diverse application - Experience with infrastructure security - Basic familiarity with security frameworks (OWASP, NIST, etc) - Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment - Strong communication and collaboration skills to effectively remotely work with stakeholders across the organization Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are seeking a skilled & hands-on Senior Security Architect for Kraken Security Labs. Kraken Security Labs provides boutique-style, deeply technical internal security consulting on current and future products. We don't merely provide high-level guidance but indeed get deeply embedded in the different engineering teams and do not mind hands-on work. Our projects span from classical infrastructure security projects, over cryptography, web3, and complex Rust projects, to securing our next generation of AI products. You will work in a small, highly technical team and collaborate with teams all across the company & world.   THE OPPORTUNITY - Design, review & verify robust security architecture in a heterogeneous environment - Conduct thorough security assessments and audits of existing architectures, recommending practical improvements - Stay updated with latest (blockchain) security trends, threats and mitigation techniques - Provide expertise to our blockchain teams, ensuring secure operational practices   WHAT YOU BRING - Proven experience as an IT security expert, with a strong background in application security - Experience in security testing diverse application - Experience with infrastructure security - Basic familiarity with security frameworks (OWASP, NIST, etc) - Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment - Strong communication and collaboration skills to effectively remotely work with stakeholders across the organization Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Munich Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions. - Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy. - Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution. WHAT YOU'LL BRING - 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales. - Past experience in demo building, and presenting, and working with customers or clients in the GTM function. - Experience in relationship-building with potential customers, including executives and technical leaders. - Experience in leading the sales process with Enterprise customers. - Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience - Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]." - Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience translating code, technical logic and user requirements to product and engineering requirements. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Canada, Remote Workplace: remote Introduction to the Team & Role This is a rare opportunity to join our North American team as an Enterprise Account Executive, where you will be instrumental in fueling revenue growth by engaging the largest and most strategic organizations (5,000+ employees). We are seeking a strategic hunter energized by the challenge of winning executive mindshare against established incumbents. This role requires flawlessly executing complex, consultative sales cycles and aggressively multi-threading high-value accounts. As a remote-first organization, your success will also involve an exciting and challenging requirement for regular travel (up to 25%) to key customer sites for executive meetings and strategic deal checkpoints. This is a chance for a driven professional to showcase strategic thinking, keen business acumen, and unwavering ownership, making a direct impact on company growth alongside a high-performing and ambitious team. What You'll Do Within 1 month, you will: Master the product demo and pitch Start accepting qualified leads Integrate into our remote-first culture of Convexity and build relationships with your team Within 3 months, you will: Develop territory plans Build and manage your own pipeline Run strategic prospect meetings Become knowledgeable in Learning & Development market trends, emerging technologies, and competitors Close your first deals! Within 6 months, you will: Drive revenue generation through qualifying leads and closing new business opportunities Meet and exceed all quarterly sales quotas Help mentor junior Account Executives Within 12 months, you will: Contribute as a subject matter expert on the 360Learning platform and share your knowledge with the rest of the organization and externally Tackle more complex, multi-threaded deals The Skill Set At least 5 years of experience in a B2B SaaS environment as an Account Executive (Preferably with experience selling learning solutions like an LMS or LXP, or selling an HR Tech product) Formal training on selling methodology (Challenger, SPIN, PURPOSE, MEDDIC) A growth mindset and a life-long learning attitude Strong analytical and organizational skills Strong written and verbal communication skills Experience executing complex software/platform demos in your previous sales processes A Bachelor’s degree or higher level of education Enthusiasm for our working environment of Convexity explained here: https://bit.ly/Convexity360L What We Offer Compensation: Pay structure includes base salary, variable incentive pay, and company equity 📈 Benefits/Perks : Comprehensive health insurance starting your first day of employment 🏥 RRSP contribution matching 🏦 Generous parental leave 👶 Professional development opportunities through our own platform 📚 Balance: We offer unlimited days of annual PTO 🌴 5 days for sick leave 🤒 Holiday time in accordance with the Ontario Holiday Calendar 🗓 We are a remote-first organization and promote flexible work hours 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture : A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Phone screen with the Talent Acquisition Manager Discovery Meeting with the Director, Enterprise Sales Team Meeting & Case Study Presentation with an Enterprise AE, and two Sales Leaders Culture-fit interview with an Executive Leader References & Offer! → Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

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 Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. 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 Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. 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 Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. 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 Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. 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.