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Location: Singapore; Tokyo; Seoul; Melbourne; Canberra; Sydney Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an founding HR Operations Manager for APAC, you will establish and scale our HR infrastructure across the region. This role exists to ensure our regional operations run smoothly, seamlessly blending day-to-day compliance, payroll execution, and expansion into new markets. Working closely with local and international stakeholders, you will own the end-to-end employee lifecycle. Your impact will be felt directly through the design of efficient HR systems, structured onboarding experiences, and accurate multi-country payroll management. You will act as a practical builder, optimizing everything from everyday employee inquiries to complex vendor management. By bridging legal compliance with a collaborative approach, you will support our regional growth while fostering a compliant and organized workplace. This role can be relocated in Singapore, Australia, Japan or Korea. WHAT YOU WILL DO - Manage and execute monthly payroll for employees and Employer of Record (EoR) staff across the APAC region to guarantee timely, accurate compensation. - Oversee the onboarding journey, ensuring all contractual elements, labor amendments, and internal HRIS records are systematically completed and updated. - Resolve day-to-day employee inquiries and coordinate international work visas to support business travel and team mobility. - Lead HR expansion initiatives when entering new countries, establishing local benefits administration and compliant operations from scratch. - Optimize regional operations by auditing external vendors, benchmarking payroll providers, and automating manual workflows. - Implement people-related procedures and best practices that mitigate company risk and align with local labor regulations. WHAT WE'RE LOOKING FOR - 8 to 15 years of progressive HR experience, ideally within a high-growth or startup environment. - Deep expertise in Singaporean labor law and employment regulations, with additional experience navigating multiple APAC markets such as South Korea, Australia, India, or Japan. - Solid understanding of regional payroll mechanisms, local tax laws, and handling Employer of Record (EoR) frameworks. - Practical proficiency with modern HR technology, including HRIS and payroll management software. - A hands-on, builder mindset with a proven track record of turning fragmented tasks into efficient, streamlined workflows. - Strong communication and problem-solving skills centered on a service-oriented approach to supporting team members. - Singapore citizenship or Permanent Residency (PR) status, required due to visa constraints for this specific position. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Ramat Gan WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in Python on Linux platform Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Austin; Yerevan; London Workplace: OnSite We are looking for exceptional quantitative researchers to develop systematic trading strategies based on market microstructure. This role is focused on extracting predictive signals from high-frequency market data and turning them into robust, scalable trading models. You will explore large datasets, develop new features, test hypotheses, and work closely with researchers and engineers to deploy ideas into production. Location Austin, TX, Yerevan, AM and London, UK (5 days in-office requirement) Key Responsibilities - Research predictive signals from market microstructure data. - Design and evaluate new features using the most granular market data. - Develop statistical and machine learning models for systematic trading. - Build robust research infrastructure and analytical tools. - Work directly with experienced researchers and Portfolio Managers to take ideas from hypothesis to live trading. Basic Requirements - PhD in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or a related quantitative discipline. - Outstanding mathematical and statistical skills. - Strong programming ability in Python and C++/Java. - Experience working with quantitative models. - Curiosity, creativity, and proven academic track record. What you’ll get - On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from - Build Strategies while becoming the best at what you do - Professional guidance from experienced mentors Benefits - Health insurance - Flexible sick time policy - Office Lunches

Location: Salt Lake City, Utah, United States About the Role iCapital is looking to hire a Site Reliability Engineer to join the Site Reliability Engineering team, which plays a critical role in ensuring the platform delivers consistent, reliable service to clients. The services run on Kubernetes in AWS, and this role is focused on maintaining the health, stability, and performance of production environments. This position is ideal for a hands-on engineer who thrives in diagnosing complex production issues where the root cause is not immediately apparent. This role transforms insights gained from production incidents into stronger reliability standards, safer deployment practices, more effective alerting, and automation that helps prevent recurring issues. While metrics, logs, and traces are leveraged daily, the core focus is identifying, resolving, and learning from the issues they reveal. Responsibilities Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause. Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements. Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding. Serve as the incident commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through. Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil. Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing. Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations. Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links. Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields. Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus. Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time. Qualifications 5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams 3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes Strong incident response skills, including leading retrospectives and postmortems and following through on systemic fixes Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling Track record of defining SLOs/SLIs and using an observability stack (i.e. Prometheus and Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly Clear written and verbal communication skills with the ability to influence engineering teams through standards, tooling, and practical guidance Kubernetes certification (CKA or CKS) or equivalent depth Experience improving rollout safety and autoscaling behavior for Kubernetes workloads Familiar with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems OpenTelemetry instrumentation experience at scale is preferred Benefits The base salary range for this role is $130,000 to $160,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: London WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 5 years of writing production-quality code in C++ on Linux platform Good understanding of Python language with development experience Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Copenhagen, Denmark About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Om rollen Vi udvider vores forretning i Danmark og leder efter en Sales Manager til at joine vores erfarne salgsteam i København. Som Sales Manager får du en central rolle i at vækste Wolt i Danmark – ved at onboarde nye restaurant- og retailpartnere til vores platform. Du ejer hele salgsprocessen fra første kontakt til underskrevet aftale og bliver en vigtig del af vores fortsatte ekspansion. Du kontakter potentielle partnere via telefon og mail for at booke møder – og besøger dem derefter personligt for at præsentere Wolt og skabe stærke relationer. Dine ansvarsområder Eje og drive din egen portefølje af potentielle samarbejdspartnere, som du systematisk kontakter og følger op på Booke og afholde møder med restauranter og retailpartnere (fx kiosker, bagerier, convenience og blomsterbutikker) Arbejde ud fra København og på tværs af hele Sjælland for at udbygge Wolts tilstedeværelse i alle vores byer Planlægge dit arbejde effektivt – og være villig til at tage 1–2 overnatninger om måneden, når det giver mening for at dække dit område bedst muligt Forhandle kommercielle vilkår og sikre en grundig overlevering til vores Partner Onboarding Team Samarbejde med resten af salgsteamet om at forbedre salgsmetoder og dele best practices Træffe solide forretningsbeslutninger baseret på både data og din kommercielle intuition Hvem er du? Du er en ægte hunter med minimum 3 års dokumenteret erfaring indenfor B2B-salg Du trives i et performanceorienteret miljø , hvor du sætter ambitiøse mål og fejrer succeser sammen med teamet Du har en can-do attitude og trives i et tempofyldt miljø Du er en stærk kommunikator og har solid kommerciel forståelse Du taler og skriver flydende dansk og engelsk (bemærk; dine første interviews vil være på engelsk) Erfaring med CRM-systemer (fx Salesforce eller Pipedrive) er en fordel Kendskab til hotel-, restaurant- eller detailbranchen er et plus Hvem er vi? Du bliver en del af et dynamisk og erfarent salgsteam bestående af 8 Sales Managers, hvoraf 5 er baseret i København og 3 i Aalborg, som alle arbejder tæt sammen på tværs af Danmark. Teamet består af engagerede Sales Managers, der alle brænder for at skabe vækst for vores partnere – og for at gøre Wolt til det foretrukne valg for både restauranter og retailbutikker. Hvad Wolt tilbyder Hos Wolt får du: En rolle med stort ansvar og indflydelse , hvor dine resultater kan ses direkte på væksten Et stærkt fællesskab med ambitiøse og hjælpsomme kolleger Muligheden for at blive en del af en hurtigt voksende international virksomhed , der kombinerer lokalt kendskab med global rækkevidde Et kulturmiljø præget af tillid, frihed og ejerskab , hvor du kan udvikle dig fagligt og personligt Næste skridt Vi gennemgår ansøgninger løbende, så ansøg allerede i dag. Har du spørgsmål til stillingen, er du velkommen til at kontakte [indsæt navn / titel]. Bemærk: Vi accepterer ikke ansøgninger via e-mail af hensyn til GDPR. Ansøg venligst via vores karriereside. (En) Sales Manager – Denmark About the role We’re expanding our business in Denmark and are looking for a Sales Manager to join our experienced sales team in Copenhagen. As a Sales Manager, you’ll play a key role in growing Wolt in Denmark by acquiring new restaurant and retail partners to our platform. You’ll own the entire sales process - from the first contact to a signed agreement - and be an essential part of our continued expansion. You’ll reach out to potential partners via phone and email to book meetings - and then visit them in person to present Wolt and build strong, lasting relationships. What you’ll be doing Manage your own portfolio of potential partners, driving outreach and systematic follow-ups Book and conduct meetings with restaurants Work primarily out of Copenhagen while covering all of Zealand to expand Wolt’s presence across our cities Plan your time efficiently and be flexible to travel - with 1-2 overnight stays per month when needed to cover your area effectively Negotiate commercial terms and ensure a smooth handover to our Partner Onboarding Team Collaborate closely with the rest of the sales team to share best practices and continuously improve our sales approach Make sound business decisions based on both data and your commercial intuition What we’re looking for A true hunter with a proven track record in B2B sales (minimum 3 years) Someone who thrives in a performance-driven environment , setting ambitious goals and celebrating success together A can-do attitude and the ability to thrive in a fast-paced setting Strong communication skills and solid commercial understanding Fluent in Danish and English (note: your initial interviews will be conducted in English) Experience working with CRM systems (e.g. Salesforce or Pipedrive) is a plus Experience within the hospitality, restaurant, or retail industry is an advantage Who we are You’ll be part of a dynamic and experienced sales team of 8 Sales Managers - 5 based in Copenhagen and 3 in Aalborg and 5 Inside Sales Associates - working closely together across Denmark. Our team is driven, collaborative, and passionate about helping our partners grow and making Wolt the preferred choice for both restaurants and retail stores. What Wolt offers At Wolt, you’ll get: A role with significant ownership and impact , where your results directly contribute to our growth A supportive and ambitious team culture , built on trust and collaboration The opportunity to be part of a rapidly growing international company , combining local expertise with global reach A culture of freedom, ownership, and development , where you can grow both personally and professionally Next steps We review applications on an ongoing basis, so apply today! Please note: Due to GDPR, we do not accept applications via email. Apply directly through our careers page. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in C++ on Linux platform Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Python development experience is also a plus Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-SN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Ljubljana, Slovenia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world. Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career. What you’ll be doing As Sales Associate, you will manage the full sales funnel from first contact through to closing deals and ensuring a smooth handover to the onboarding team. You’ll primarily work on the phone, contacting restaurants and retail stores across Slovenia , and will receive training and coaching to grow your skills. Day-to-day in this role you’ll: Manage a portfolio of leads and execute systematic outreach Book and run meetings to acquire new restaurants and retail stores onto Wolt’s platform Negotiate commercial terms and conditions and collect documentation Ensure seamless handover of signed partners to the merchant onboarding team Support the sales team in improving methodologies and processes Our humble expectations You’ll do well at Wolt if you: Have the charm, empathy and honesty to build strong relationships. Are used to high-performance, high-expectation cultures. Have a proven track record of making sales and closing deals. Take a hands-on, proactive approach to getting stuff done and seeing things through. Have fluent and persuasive written and spoken communication skills in English and Slovenian. Are entrepreneurial, innovative, and good at solving problems. Can adapt quickly in a rapidly changing market. Have 2+ years in partner operations or customer support and a Bachelor’s degree or equivalent, owning end-to-end workflows with on-time delivery. Are tech-savvy and quick to learn new systems, troubleshooting basic issues and escalating smartly when they exceed scope. What we offer An opportunity to work in a fast-growing tech company with a startup mindset The chance to make a significant impact on the growth and success of our restaurant partners. A supportive and inclusive team culture that values innovation and continuous improvement. Opportunities for personal and professional development within a global organization. Why you’ll love it 🚀Global and growing fast: Be part of a fast-moving scaleup 🤩Ride of a lifetime: Accelerate your career and build your sales skills 💪Instant impact: Take ownership and make a difference 💙Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going! We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today!  💙 Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities 1. Recommendation Engine & Full-Pipeline Development Multi-stage Engine Development: Own the development and refactoring of high-concurrency, low-latency recommendation serving engines, powering the full pipeline of multi-channel recall (two-tower/collaborative filtering/ANN vector retrieval) → coarse ranking → fine ranking → re-ranking. Compute Tiering & Strategy Engine: Implement dynamic compute trimming and degradation mechanisms for dynamic Ul personalization and global strategy dispatch, ensuring core engine stability under extreme traffic spikes. 2. Real-time Feature Engineering & Data Consistency Governance Real-time Feature Pipeline: Build high-throughput, low-latency real-time feature streams on Kafka/Flink, enabling minute-level/second-level user pehavioral feature updates and dynamic sliding-window aggregations. Feature Store: Contribute to the development of unified online/offline feature storage with stream-batch convergence architecture; deeply govern industrial-grade pain points such as "online/offline feature inconsistency" and "feature time-travel leakage," systematically improving online/offline feature consistency. 3. Large-scale Retrieval & Vector Infrastructure Optimization Vector Retrieval System: Own the construction and optimization of large-scale vector retrieval systems (Faiss/Milvus/NSW) supporting candidate pools from tens of thousands to milions, lead index structure parameter tuning, achieving P99 retrieval latency < 100ms. Multi-source Heterogeneous Indexing: Build unified Embedding Pipelines and high-performance inverted index services covering trading products, news, KOL content, on-chain signals, and other heterogeneous data sources. 4. High-performance Model Inference & Compute Optimization Deep Model Engineering: Own high-performance online deployment and operator optimization of complex deep ranking models (e.g., DIN/SIM sequential models, MMoE/PLE multi-objective deep models). Inference Graph & Compute Governance: Solve compute explosion in multi-task/multi-objective online inference through inference optimization (quantization, graph optimization, batching strategies) - targeting fine-ranking P99 latency < 200ms. 5. System Performance, Global Observability & Experimentation Infrastructure High Availability & SLO: Ensure global recommendation service P99 latency < 200ms and system availability > 99.9%; write comprehensive overload protection, thread isolation, and disaster recovery degradation code. Global Distributed Tracing: In complex multi-region/multi-site/multi-language cross-border IDC environments, build and maintain end-to-end distributed tracing and monitoring systems (e.g.,Jaeger/Prometheus), establishing minute-level root cause attribution and fault localization mechanisms. Experimentation Platform Engineering: Contribute to A/B experiment traffic-splitting platform upgrades, engineering CUPED variance reduction and sequential testing mechanisms to reduce sample size requirements and accelerate algorithm iteration pipelines. Requirements Industrial-grade Hands-on Experience: 5+ years of recommendation system engineering at consumer-scale internet companies; must have deeply participated in or led architecture refactoring or launches of realtime recommendation systems serving tens of millions of users at scale. Proven experience building recommendation systems from 0→1 (not just maintaining mature systems) is strongly preferred. Mastery of Engineering Foundations: Exceptionally solid low-level CS fundamentals; proficient in at least one of Go/Java/C++ (Go preferred given current stack; C++ experience a plus for future engine optimization); familiar with PyTorch/TensorFlow model online inference and deployment optimization. Deep Expertise in Big Data & Retrieval: Hands-on with Spark/Flink/Kafka stack, with real experience solving stream computing latency and data backlog issues; proficient in Milvus/Faiss cluster deployment and tuning. Engineering Perspective on Algorithms: Deep understanding of computational complexity and online bottlenecks of core algorithms (collaborative filtering, two-tower recall, multi-objective optimization MMoE/PLE); ability to interface smoothly with algorithm teams for high-quality, efficient engineering translation. Excellent System Design Capability: Proven experience in actual development and core module design of recommendation platforms, feature platforms, experimentation platforms, or high-performance RPC frameworks at top-tier companies. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are scaling rapidly. Our customers have created millions of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. Render builds and orchestrates a growing number of kubernetes clusters on different hyperscalers and recently, our own hardware. We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform. We are looking for engineers with deep specialization in cloud and compute infrastructure. We are particularly interested in experience with Kubernetes and container orchestration, micro VMs, controllers, operators, and the automation and self-healing of large scale distributed systems. Areas of focus for the team this year will unlocking bottlenecks to scale our clusters while also automating the multi-step creation, configuration, testing, and tuning of Render clusters. We will expand Render to new regions, our own bare metal, and start orchestrating micro VMs outside of Kubernetes entirely. WHAT YOU'LL DO - Own Render's core compute infrastructure across multiple cloud providers, regions, and data centers. You'll shape how we evolve our compute platform as we rapidly scale. - Design and build capabilities that give users greater performance and flexibility in how their services are built, deployed, perform, and stay available even when underlying resources go down. - Investigate challenging cloud and compute issues across the stack, from the kernel and data plane to our kubernetes cluster, control plane, and other orchestration mechanisms. - Improve the performance and reliability of our infrastructure through systematic profiling, experimentation, and tuning. - Partner with engineers across the company to build a platform that is stable, predictable, and secure. - Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents. WHAT WE'RE LOOKING FOR - At least 7 years of experience building and operating large-scale platform or compute infrastructure. - Deep expertise in operating, scaling, and enhancing Kubernetes clusters or similar resource/container orchestration system. - Experience developing in Go, Rust, or similar languages to develop custom infrastructure components, scheduling, controllers, that apply business logic to resource management. - Comfort going broad and deep in a complex systems, making tradeoffs to improve performance and efficiency without sacrificing reliability. - Strong experience designing, debugging, and operating distributed systems. - Experience planning and executing rapid, high-risk upgrades, changes with minimal downtime to user services. NICE-TO-HAVES - Background in virtualization technologies like Firecracker, gVisor, Kata, or similar. - Experience optimizing the performance of node, pod, and container spin-up times. - Familiarity with eBPF, Linux kernel internals, resource management. - Comfort securing and isolating workloads in multi-tenant execution environments. RELEVANT LINKS FROM THE RENDER INFRASTRUCTURE TEAM - The Namespaces Scaling Trap https://www.youtube.com/watch?v=NCKhoYsNsmE (video podcast interview) and related article How We Found 7 TiB of Memory Just Sitting Around https://render.com/blog/how-we-found-7-tib-of-memory-just-sitting-around - SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk - Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests - Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes - Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Amsterdam DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is seeking a Risk Manager – Equities to be based in our Amsterdam office. Reporting to the Head of Equities Risk, this role will provide independent oversight of DRW's equities, ETF, derivatives and crypto businesses. The successful candidate will partner closely with traders and business leadership to promote disciplined risk-taking and further strengthen DRW's risk management framework. Responsibilities Partner with traders, senior management and the risk management team to enhance risk frameworks, controls and tools. Monitor trading activity, portfolio exposures and risk concentrations across DRW's businesses. Challenge trading strategies, hedging approaches and key risk assumptions. Oversee pre-trade and real-time risk controls for electronic and systematic trading activities. Monitor options and derivatives exposures and perform stress testing and scenario analysis. Ensure effective oversight of market, execution, liquidity and operational risks. Interface with clearing firms, counterparties, exchanges and regulators on risk-related matters. Escalate material risk issues to senior management and the DRW Risk Committee. Required Experience and Skills Significant experience (5 years or more) in market, trading or portfolio risk management within a proprietary trading firm, market maker, hedge fund or electronic trading business. Experience navigating the EU regulatory framework for investment firms and interacting directly with European regulators. Strong quantitative and analytical skills, with experience using Python, SQL, R or similar tools. Deep understanding of options, volatility products and derivatives markets. Experience overseeing risk for electronic, systematic or market-making trading businesses, including pre-trade risk controls. Strong understanding of ETF market structure, factor models and execution risk. Ability to challenge risk-taking decisions and influence stakeholders across trading and business teams. Demonstrated ability to leverage modern AI tools and automation technologies to improve analysis, monitoring and risk management workflows. Sound judgement, intellectual curiosity and a proactive, independent approach. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters—it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-KS1]

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The opportunity Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions. On the Forecasting team, you will develop models that estimate how campaign outcomes could change with different budgets, bids, audiences, creative performance, or objectives. Your work will connect supply and demand forecasting, audience availability, and response prediction to help advertisers compare alternatives and identify valuable opportunities. This is a hands-on role with end-to-end ownership of forecasting models and production capabilities. You will drive projects from problem formulation and technical design through evaluation, deployment, and iteration, working closely with engineers and cross-functional partners. What you’ll do Own forecasting and scenario modeling projects. Translate advertiser questions into modeling problems involving delivery, reach, performance, and investment tradeoffs. Develop technical approaches, make practical tradeoffs, and drive execution. Connect inventory, demand, and response. Use signals about available advertising opportunities, audience activity, marketplace competition, and predicted response to improve estimates of achievable campaign outcomes. Model outcomes under alternative choices. Build and improve models that estimate the effects of changes in budget, bid, audience, or optimization objective, accounting for relevant auction dynamics and campaign constraints. Help advertisers identify opportunity. Incorporate predictions from partner teams, including creative-performance estimates, to evaluate potential improvements in delivery, efficiency, or advertiser value. Improve model generalization. Develop approaches for sparse segments, cold start, seasonality, delayed feedback, and changing marketplace conditions. Choose methods that balance predictive quality, complexity, and production requirements. Build trustworthy evaluations. Measure forecast accuracy, calibration, uncertainty, and performance across advertiser cohorts. Document modeling assumptions and limitations, and work with partners to determine which scenario comparisons the evidence supports. Close the learning loop. Compare predictions with mature outcomes, investigate systematic errors, and use experiments and observed results to improve forecasts and validate scenario estimates. Deliver reliable production systems. Own training, inference, monitoring, and iteration for your models. Collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams; contribute to design and code reviews; and mentor engineers through project work. What we’re looking for Experience independently designing, shipping, and improving predictive ML systems in advertising, marketplaces, recommendations, search, forecasting, or similarly complex domains. Strong foundations in statistical learning, probability, and optimization, with experience working with large-scale behavioral or transactional data. Practical experience in at least one relevant area, such as forecasting, response prediction, probabilistic modeling, multitask learning, or transfer learning. Sound evaluation judgment, including temporal validation, segment-level analysis, and an understanding of calibration, uncertainty, and the limits of predictions under changed conditions. Experience diagnosing and addressing modeling challenges such as sparse observations, cold start, seasonality, distribution shift, selection bias, or delayed labels. Strong programming and software engineering skills, including experience building and operating production ML pipelines and services. Demonstrated ability to turn ambiguous product questions into concrete technical plans, lead projects through rollout, and collaborate effectively across functions. Preferred experience Experience in one or more of: Demand, supply, and inventory forecasting: Advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting, including time-series methods, hierarchical or global models, and multi-horizon prediction. Auction and investment modeling: Auction simulation or replay, win-rate and price prediction, bid/budget response curves, or constrained optimization. Scenario evaluation: Counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, or combining predictive models to estimate campaign outcomes. Reach and audience estimation: Population and overlap estimation, reach/frequency models, sampling correction, or saturation modeling. Probabilistic and response modeling: Quantile or distributional prediction, calibrated conversion/value prediction, or delayed-feedback modeling. What success looks like You independently deliver and operate forecasting capabilities that improve accuracy and calibration for priority advertiser populations. Your models support credible comparisons of campaign alternatives, have clear evaluation and monitoring, and help advertisers make better planning and investment decisions. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AK1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New York WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required. Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions. Key Responsibilities: - Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation - Create cohesive data infrastructure that supports continuous parallel operation with model experimentation - Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation - Collaborate with the ML modeling team to align data capabilities with experimental needs - Maintain opinionated, well-documented solutions that become team standards - Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps Qualifications: - Extremely strong software engineering skills. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL) - Demonstrated ability to own complex technical projects from conception to deployment - Opinionated approach to technical architecture with ability to make principled decisions - Understanding of ML data requirements and the intersection of data engineering with modeling workflows Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Boston adjoe is redefining the future of mobile advertising. Powered by advanced AI, first-party data, and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with our intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 700 million users worldwide for scalable growth. Backed by Europe’s leading media powerhouse Bertelsmann and operating from offices in Hamburg (HQ), Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us. About the Role We are seeking a Director, Strategic Enterprise Partnerships to own adjoe’s most critical enterprise relationships. This is not a maintenance role; it is a commercial strategy role. You will act as the “General Manager” for a portfolio of our top-tier partners, responsible for merging their long-term goals with adjoe’s tech innovation to build a shared path to growth and profitability. Your mandate is to align adjoe’s technology with the partner’s long-term vision, ensuring our stacks evolve together. You will define and execute ambitious commercial goals, treating each account as a joint venture where you set the targets, forecast the growth, and engineer the technical strategy required to hit them. Reporting directly to our Managing Director, Supply and working closely with regional VPs of Revenue, the wider adjoe leadership team, and our Product and Tech departments, you will act as the gatekeeper to our largest enterprise accounts. What You Will Do: - Ambitious Commercial Strategy: You systematically identify new revenue opportunities for our partners, launch large-scale campaigns, or lead high-stakes renegotiations, securing long-term exclusivity - Joint Strategic Roadmap: You don’t just deliver features; you orchestrate the joint technical roadmap. You drive integration timelines, manage feature testing, and facilitate QBRs or workshops - C-Level Navigation: You move beyond day-to-day managers and build relationships with CROs, CTOs, or Heads of Monetization to align adjoe’s roadmap with our partners’ long-term business goals - Product Loop & First Line of Defense: You are the bridge between the market and adjoe’s Product teams. You translate partner feedback into actionable product features that unlock scalability while proactively solving technical or performance blockers before they impact revenue - People Leadership & Cross-Functional Influence: You directly lead and develop a small, high-impact team while also guiding and aligning senior cross-functional stakeholders across Product, Tech, Revenue, and Leadership to drive shared outcomes Who You Are: - 5-7 years in AdTech, Big Tech, or SaaS Strategic Account Management, specifically handling enterprise clients and ideally with some exposure to the mobile ecosystem and core metrics such as CPI, eCPM, ARPDAU, etc. - Tech-Commercial Hybrid & Communication: Outstanding communication skills that allow you to bridge the gap between product and business, with fluent English required for daily collaboration with global stakeholders. You can discuss API limitations with a CTO in the morning and revenue growth opportunities with a CEO in the afternoon with equal fluency - Proven success in Solution Selling: Experience sitting down with product teams to scope out custom technical solutions or roadmaps, not just selling off-the-shelf inventory - Strategic Vision: Ability to look 6–12 months ahead. You aren’t worried about yesterday’s numbers; you are worried about next Q3’s product release - Commercial Acumen and Excellence: You own the revenue targets for your account. You don’t settle for “maintenance mode”; you actively identify opportunities to expand & set ambitious goals, strengthening the partnership. - Location: Based in Boston Our Commitment to Your Success: Invest in Your Future: You’ll join a high-performing, rapidly scaling global company with a clear vision, while directly influencing the company’s trajectory and sharing in its success. We’re committed to your growth through regular feedback, mentoring, and our development programs. You’ll expand your skillset and build a long-term career at adjoe. Easy Arrival to adjoe: From signing to settling in Boston, we’ve got you and your family covered, including a relocation package and personal support to help you build your life here, making your move smooth and stress-free. Live Your Best Life, at Work and Beyond: Flexible hours, remote Fridays, and 30 vacation days. You’ll also have three weeks of remote work each year, wellness reimbursement, and mental health support through our Employee Assistance Program (EAP). Future & Financial Health Package: Comprehensive medical, dental, and vision plans as well as 401K match program. We welcome applications from people who will contribute to the diversity of our company.

Location: Chișinău, Chișinău Municipality, Moldova About the Role Join Alvys, an early-stage company transforming the $800B US freight industry. As a Senior Full-Stack Engineer, you’ll build and operate key parts of our cloud-native SaaS platform—spanning backend services, frontend applications, and cross-cutting system components. You will own features end-to-end, partner closely with engineering, product, and design, and help advance both the technical foundations and user experience of our products. Industry Insight Transportation logistics is massive, fragmented, and still largely underserved by modern software. You’ll be helping define the future of how freight moves by contributing to automation, operational intelligence, and workflow modernization at scale. About Alvys Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world’s most essential industries. Our Principles Engineering Principles: Build for Real-World Impact — Our users rely on Alvys to solve real problems, not abstract ones. Every feature we ship is designed to reduce friction, increase efficiency, and drive tangible results for the people moving freight every day. Extreme Ownership and Empowerment — Ownership extends beyond building—it means being accountable for quality, reliability, and customer impact. If it's in production, it's yours—bugs, uptime, and results. Technology Debt is Strategic, Not Accidental — Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow. Simplicity Scales; Complexity Costs — Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load. Radical Transparency — We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback—we systematize constructive feedback loops to ensure growth. Engineering Culture: Move Fast, Learn Fast — Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity. Own the Outcome — Every engineer owns outcomes, not tickets. We take responsibility end-to-end—identifying problems, delivering solutions, and ensuring they last. Engineering-Led, Customer-Driven — Engineering leads by shaping technical strategy, but never in isolation. Designers, PMs, and Engineers share context and decisions, keeping customer outcomes at the center. Pragmatism Over Purism — Elegant code matters, but business impact matters more. We choose solutions that scale, are maintainable, and solve real customer problems—not theoretical ones. People Over Heroics — We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work—that's expected. Tech Stack Backend: .NET/C#, CosmosDB, Cognitive Search, Azure Services Frontend: TypeScript, Angular, React, Dart/Flutter Infrastructure & Ops: Azure, Azure Monitor, App Insights, CI/CD through DevOps / GitHub Actions pipelines Integrations: Multiple third-party APIs and workflow systems Minimum Qualifications Fluent in English —spoken and written Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. 5+ years of professional engineering experience across both frontend and backend development. Strong proficiency in at least one modern backend language (C#, Java/Kotlin, TypeScript/Node). Proficiency in at least one modern frontend framework (React, Angular, or Vue). Experience with relational and NoSQL databases in production environments. Experience with at least one major cloud provider (Azure, AWS, or GCP). Ability to collaborate effectively with designers, product managers, and cross-functional partners. Preferred Qualifications Experience building large-scale, high-traffic systems. Experience leading or mentoring other engineers. Experience with C#/.NET or Angular is a plus. Experience developing responsive, data-rich interfaces. Experience contributing to or maintaining design systems. Familiarity with CI/CD tooling such as Azure DevOps. Background in logistics or transportation is a bonus. Responsibilities Build, own, and operate full-stack features from design through deployment. Develop robust backend services and intuitive, high-quality UIs for web and native applications. Work closely with design and product to deliver consistent, user-centric experiences. Improve engineering patterns, reliability, performance, and developer experience across the stack. Provide mentorship and guidance to peers across frontend and backend disciplines. Advocate for engineering excellence, maintainability, and scalability in all areas of the product. We offer: Official and competitive salary in USA$; Private medical insurance; Hybrid/Remote work model; Regular revisions of remuneration package; Budget for Sports and Learning and Development Work in an international environment within a professional in-house team of engineers; Chisinau city center location; Corporate and team building events for employees.

Location: Cyprus Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. Company & Culture EXANTE is a pioneering wealth tech company that delivers cutting-edge centralised trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our proprietary trading platform offers seamless access to diverse financial instruments—including stocks, ETFs, bonds, futures, and options—all within a single, multi-currency account. We cultivate a culture that transcends the ordinary, where rapid responses to market dynamics and proactive problem-solving are the norm. At EXANTE, the potential to make a meaningful impact is ever-present. Our team members continuously pursue personal and professional growth, empowered to spearhead change across people, processes, and products. True innovation stems from an insatiable desire for improvement, and everyone at EXANTE is committed to fostering this spirit and propelling the company forward. As a rapidly expanding global firm with over 600 talented employees from 65 nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are clear: We prioritise investing in our most valuable asset—our people. Join us in shaping the future of finance. About the Role Build, run and develop EXANTE’s principal trading book across asset classes. Provide liquidity against client flow, manage the resulting inventory and hedge residual exposure to generate P&L within the firm’s regulatory, best-execution and conflict-of-interest framework, with full P&L responsibility for the principal trading book. Reporting line: Chief Operations Officer. Worksite : Remote Responsibilities Principal trading book — provide liquidity against client flow, internalise and aggregate exposures where commercially attractive, manage inventory and hedge residual market risk. Trading strategies — market making, flow trading, relative-value and other legitimate strategies the candidate identifies, within Board-approved risk limits. Counterparty and execution venues — identify, negotiate and onboard the exchanges, prime brokers and OTC counterparties needed for hedging and inventory management. Risk management framework — in partnership with the Risk function, design, implement and operate the risk limits, monitoring and escalation framework for the book. Stock Lending cooperation — coordinate securities inventory, financing and revenue with the existing Stock Lending team, avoiding disruption to that revenue line. Desk cooperation — work with the Options Trading and Fixed Income & Structured Products desks to ensure complementary principal books and shared risk visibility. Operations and platform — cooperate with Operations, Treasury and Technology on workflow, financing, settlement and platform tooling. Conflict and best execution — manage conflicts of interest, best-execution arrangements and product-governance compliance across the relevant booking entities (MiFID II, FCA, SFC and equivalent regimes). Team build-out — size, composition and sequencing at the hire’s discretion as the book grows, consistent with the approved business plan. Experience 10–20 years’ experience in principal trading, flow trading, market making or running a multi-asset trading book at a sell-side firm, broker-dealer, prime broker or proprietary trading house, with documented P&L through different market regimes. Multi-asset risk management — strong background across delta, gamma, vega, correlation, liquidity and counterparty risk. Regulatory expertise — hands-on familiarity with the MiFID II Systematic Internaliser regime, best-execution obligations and conflict-of-interest management in a regulated broker-dealer environment is essential. Securities financing — familiarity with securities financing and stock lending operations is a strong plus. Cooperative profile — non-negotiable; the role only succeeds by working closely with the existing Stock Lending team and the new trading desks, and a track record of operating effectively across desks and functions is expected. Fluent English — mandatory. Commercial and disciplined — technical, comfortable with full accountability for a P&L. What we offer Competitive salary that reflects your experience and the value you bring. Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle. A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. Connection beyond your desk — events that bring our teams together to network and celebrate. Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries. EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Location: Switzerland Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. Company & Culture EXANTE is a pioneering wealth tech company that delivers cutting-edge centralised trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our proprietary trading platform offers seamless access to diverse financial instruments—including stocks, ETFs, bonds, futures, and options—all within a single, multi-currency account. We cultivate a culture that transcends the ordinary, where rapid responses to market dynamics and proactive problem-solving are the norm. At EXANTE, the potential to make a meaningful impact is ever-present. Our team members continuously pursue personal and professional growth, empowered to spearhead change across people, processes, and products. True innovation stems from an insatiable desire for improvement, and everyone at EXANTE is committed to fostering this spirit and propelling the company forward. As a rapidly expanding global firm with over 600 talented employees from 65 nationalities across 70 locations, we are a frontrunner in the financial sector. Our investment priorities are clear: We prioritise investing in our most valuable asset—our people. Join us in shaping the future of finance. About the Role Build, run and develop EXANTE’s principal trading book across asset classes. Provide liquidity against client flow, manage the resulting inventory and hedge residual exposure to generate P&L within the firm’s regulatory, best-execution and conflict-of-interest framework, with full P&L responsibility for the principal trading book. Reporting line: Chief Operations Officer. Worksite : Remote Responsibilities Principal trading book — provide liquidity against client flow, internalise and aggregate exposures where commercially attractive, manage inventory and hedge residual market risk. Trading strategies — market making, flow trading, relative-value and other legitimate strategies the candidate identifies, within Board-approved risk limits. Counterparty and execution venues — identify, negotiate and onboard the exchanges, prime brokers and OTC counterparties needed for hedging and inventory management. Risk management framework — in partnership with the Risk function, design, implement and operate the risk limits, monitoring and escalation framework for the book. Stock Lending cooperation — coordinate securities inventory, financing and revenue with the existing Stock Lending team, avoiding disruption to that revenue line. Desk cooperation — work with the Options Trading and Fixed Income & Structured Products desks to ensure complementary principal books and shared risk visibility. Operations and platform — cooperate with Operations, Treasury and Technology on workflow, financing, settlement and platform tooling. Conflict and best execution — manage conflicts of interest, best-execution arrangements and product-governance compliance across the relevant booking entities (MiFID II, FCA, SFC and equivalent regimes). Team build-out — size, composition and sequencing at the hire’s discretion as the book grows, consistent with the approved business plan. Experience 10–20 years’ experience in principal trading, flow trading, market making or running a multi-asset trading book at a sell-side firm, broker-dealer, prime broker or proprietary trading house, with documented P&L through different market regimes. Multi-asset risk management — strong background across delta, gamma, vega, correlation, liquidity and counterparty risk. Regulatory expertise — hands-on familiarity with the MiFID II Systematic Internaliser regime, best-execution obligations and conflict-of-interest management in a regulated broker-dealer environment is essential. Securities financing — familiarity with securities financing and stock lending operations is a strong plus. Cooperative profile — non-negotiable; the role only succeeds by working closely with the existing Stock Lending team and the new trading desks, and a track record of operating effectively across desks and functions is expected. Fluent English — mandatory. Commercial and disciplined — technical, comfortable with full accountability for a P&L. What we offer Competitive salary that reflects your experience and the value you bring. Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle. A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. Connection beyond your desk — events that bring our teams together to network and celebrate. Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries. EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Location: San Francisco; Sunnyvale Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: We are building a core team to develop next-generation native video and omni foundation models for multimodal generation and understanding. Our current focus is large-scale video foundation model development, spanning pre-training, continued training, and post-training for high-quality, controllable, consistent, and efficient generation. Our broader roadmap includes reference- and memory-based generation, multimodal understanding and interaction, and joint audio-video generation. In this role, you will work on foundational research and large-scale model development across the full model lifecycle, including architecture, data, training, evaluation, post-training, training systems, and efficient inference. You will have the opportunity to shape both the technical direction and the team from an early stage. What You’ll Do: - Research, develop, and scale native video and multimodal foundation models, from early prototypes through large-scale pre-training, continued training, and post-training. - Explore new model architectures, training objectives, and conditioning mechanisms for video generation, reference- and memory-based generation, multimodal interaction, and joint audio-video generation. - Build and improve large-scale data curation, distributed training, evaluation, and post-training pipelines for high-quality and controllable generation. - Design systematic experiments to understand model scaling, generation quality, controllability, consistency, robustness, and inference efficiency. - Collaborate closely with researchers, engineers, and product teams to help shape the technical roadmap and, where appropriate, translate model advances into real-world capabilities. - Contribute to research publications and open-source releases when appropriate. What You’ll Bring: - Strong research and engineering experience in generative modeling, including areas such as diffusion models, flow matching, DiTs, video generation, multimodal models, world models, or related fields. - Hands-on experience training and evaluating large-scale image, video, or unified multimodal models using modern deep learning frameworks and distributed training systems. - A strong track record of developing impactful models or systems, demonstrated through research publications, open-source contributions, production impact, or other significant technical work. - Ability to independently own ambiguous research problems, move effectively from ideas to experiments, and work well in a highly collaborative environment. - Specialized depth in one or more areas across the foundation model lifecycle, such as model architecture, data curation, controllable generation, multimodal understanding and conditioning, post-training and reward modeling, model acceleration, inference systems, or deployment. Compensation: The anticipated annual base salary range for this role is between $200,000-$320,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data. Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!