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Location: Remote - US About the Job: LaunchDarkly is seeking a skilled Full-Stack Engineer to join our Experimentation team! You’ll collaborate closely with a cross-functional team of backend, frontend, and full-stack engineers, along with product managers, data scientists, and designers, to help build an experimentation platform that balances power and accessibility. In this role, you’ll contribute to the design, development, and maintenance of scalable, performant services using Go and RESTful APIs, and user experiences built with React and TypeScript. You’ll have opportunities to take ownership of projects, grow your technical expertise, and help improve the quality and reliability of our systems. We’re focused on building a best-in-class experimentation platform that enables customers to run impactful, data-driven experiments with ease and confidence, and we’re actively growing the team to deliver on this vision. We are committed to delivering a leading experimentation platform that empowers our customers to run tests and data-driven experiments seamlessly and at scale. We have a robust product roadmap, and we are actively expanding our teams to execute on it. Responsibilities: Contribute to the design, development, and maintenance of scalable and performant solutions for experimentation and data-driven products, with attention to usability and maintainability. Collaborate with senior engineers on architectural decisions that impact system scalability and performance. Lead limited scope features from definition to deployment Help identify and troubleshoot performance issues and participate in efforts to optimize service reliability. Work closely with product managers, engineers, data scientists, and designers to implement new features and iterate on existing functionality. Participate in code reviews to support code quality and share constructive feedback with teammates. Write clean, maintainable, and well-tested code that enhances the reusability and readability of team systems. Contribute to the team’s efforts to improve observability, monitoring, and operational excellence. Help investigate and resolve production issues, occasionally partnering with customer support or other teams as needed. Collaborate across functions to align on priorities, surface blockers, and improve team workflows. Learn from and support more senior engineers, and contribute to a culture of growth, inclusion, and continuous improvement. Stay current with industry trends related to software development, experimentation, and backend technologies. Demonstrate curiosity, creative thinking, and a proactive mindset in problem-solving. Qualifications: 5+ years of hands-on experience building full stack web applications. Familiarity with Typescript, React, Node, and Go is preferred but not required. Solid grasp of software engineering principles, design patterns, and coding best practices. Exposure to building or maintaining scalable, production-grade systems. Familiarity with observability practices and tools (e.g., logging, metrics, monitoring). Experience working with cloud platforms (AWS, GCP, or Azure) is a plus. Strong collaboration and communication skills with a team-oriented mindset. Comfortable working in Agile development environments. Experience with CI/CD practices and tools. Passion for writing high-quality code and continuously improving engineering practices. A self-motivated approach and willingness to take initiative. Ability to thrive in a fast-paced, evolving environment. Prior experience working with or contributing to distributed teams is a plus. Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860** Zone 3: All other US locations - $ 145,500 - $200,090 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Metro Atlanta, United States I. POSITION OVERVIEW We are partnering with a fully accredited K–12 institution, is seeking highly qualified Math and English Language Arts (ELA) Tutors to provide high-quality, face-to-face instruction to students across the Metro Atlanta area. Tutors will support students in grades K–12, delivering targeted academic interventions designed to close learning gaps, reinforce classroom instruction, and improve overall student achievement. II. POSITION DETAILS • Location: Metro Atlanta (Fulton County Priority) • Position Type: Contract (On-Site Only) • Compensation: $20 – $25 per hour • Schedule: During the school day, 8 am to 3 pm III. KEY RESPONSIBILITIES • Provide in-person tutoring services at assigned school locations • Deliver instruction aligned to grade-level academic standards • Support students with homework completion and skill mastery • Identify and address academic gaps through targeted instruction • Differentiate instruction for diverse learners, including struggling and advanced students • Maintain an engaging, structured, and academically focused environment • Collaborate with school staff when necessary to support student success IV. QUALIFICATIONS • Minimum of 2 years of tutoring or teaching experience • Strong content knowledge in Math and/or English Language Arts • Ability to work on-site during school hours • Proven ability to support students with varying academic needs Salary: $20 – $25 / hour

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is hiring for a Manager, Enterprise Sales to shape our sales strategy and collaborate with teams across the company. You aren’t the typical sales leader, and we aren’t the typical design tool company. At Figma we think creatively, lift constraints that block our imagination everyday and we expect you to do the same. With this role you’ll get in at the ground floor in a fast growing sales org. You’ll collaborate with our existing customer base and potential customers in driving meaningful relationships that make valuable contributions to the customer experience and revenue to our bottom line. Figma is growing and moving fast. Our next team member will have an agile, dynamic mentality, be comfortable embracing change, a true team-player, and love working with our growing footprint of Fortune 1000 customers. You won’t be alone! Figma has an incredible team and you’ll work closely with other groups including Support, Design, Engineering, Product Marketing, Customer Success, and Community. As a Manager, Enterprise Sales, you will lead a team of Account Executives responsible for the engagement, expansion and retention of our rapidly growing customer base. You will report to the Director of Enterprise Sales. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead a team of motivated and diverse individuals to foster an environment of success Participate in customer and prospect meetings Assist in continual training and development, including mentorship, hiring and career growth Help shape and further develop sales processes and initiatives Interview, hire and train new team members as we scale the business and company Deliver weekly forecast meetings and advise Account Executives on strategies to help exceed their goals We'd love to hear from you if you have: 7+ years of SaaS sales experience, including 2+ years managing sales teams Strong understanding of technical products, market dynamics, and competitive landscapes Proven ability to thrive in fast-paced, constantly evolving environments Exceptional coaching, communication, discovery, and presentation skills Passion for driving customer success, building lasting relationships, and delivering consistent sales results At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $155,500 — $230,500 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

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: 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.

Location: Barcelona, Spain Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities 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.