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Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About the Role Our Mapping team tackles the spatial intelligence of the platform: road matching, low-latency ETA predictions, and processing thousands of coordinates every second to ensure every journey is accurately tracked. We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section. Responsibilities Write high-quality, performant code primarily in Go. Implement new microservices while helping us responsibly manage and migrate away from legacy services. Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs. Ensure our systems stay responsive under heavy load, optimising for both latency and reliability. Requirements 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services. We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Ruby). In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka. At least 1 year of hands-on experience with mapping-related work such as processing noisy geospatial data, map-matching techniques, or road network graphs and routing algorithms. Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. Nice To Have Driver-side intuition for navigation systems (rerouting behavior, GPS drift, missed turns, real-world edge cases). Experience with routing engines like OSRM. Proficiency in C++. Familiarity with open geospatial datasets such as OpenStreetMap. What We Offer Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice Salary starting from £90,000 Employee stock options plan Private medical and dental insurance Life and critical illness cover Latest-generation MacBook Pro and 4k display Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Principal Machine Learning Engineer in Twilio’s Customer Memory Team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalized. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization. Build ML systems that hold up at Twilio scale. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 10+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority. Experience in building cloud-based services using AWS, GCP, or Azure. Strong communication skills and highly effective collaborator who works well with teammates. Desired: Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial. Prior experience working in a globally distributed team. Location This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Paris Workplace: OnSite ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. As a Senior Data Product Manager, you will be joining the BI/Prediction Team which is an autonomous squad of around 10 people, delivering best-in-class predictive solutions using Machine Learning algorithms for our growth operations. The team is composed of top-tier data scientists and analysts. ROLE We are looking for a Senior Data Product Manager who is deeply passionate about machine learning and data-intensive products, leveraging among the largest datasets available in the industry. You will play a crucial role in building ML prediction products for our growth operations while working in direct cooperation with our Prediction Tech Lead. - Drive and own product vision, strategy and roadmap, guide feature prioritization and scope. - Conduct discovery with growth and other stakeholders (e.g., Gaming) to anticipate business needs and detail the specifications for the tech team. - Coordinate new product releases (e.g., prediction for a new app), assess impact and collect users feedback. - Address stakeholders questions/feedback, onboard them on the product, perform analysis, and flag key prediction/analytics issues to tech. - Collaborate with external partners (e.g., networks, MMM) on prediction projects, and identify new opportunities via benchmarking. - Stay updated on privacy topics (e.g., Privacy Sandbox, ATT) through monitoring and testing. - Support the tech team by identifying new organizational tools and processes to improve efficiency. - Act as the main point of contact for top management on deliveries and decisions - Apply analytical thinking to continuously evaluate and improve product performance PROFILE - Extensive proven experience as a Product Manager in the tech industry - Data analyst or Data Scientist background is a strong plus - Value-driven, data-driven, and open-minded problem solver - Great communicator and a team player, who likes to drive results together. - You are fluent in English and have a French conversational level. - Interest in gaming and mobile apps BENEFITS - Competitive salary upon experience - Swile Lunch vouchers - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo - Child day care facilities (Les Petits Chaperons rouges) - Wellness activities in our Paris office - Flexible vacation policy - Remote days

Location: New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Senior Software Engineer on the Remix engineering team, you’ll build software cities rely on to design and improve public transportation systems with a focus on access, equity, and long-term sustainability. You’ll own features end to end from concept to production while shaping what we build and how we build it. Our stack includes Python, Ruby, TypeScript, and React, but we care most about strong engineering fundamentals and a user-centered approach to building products. You'll work on features used by some of the largest transit networks in the world, involving optimization, geospatial computation, machine learning, and AI. About the Role: Improve our planning and scheduling products to help planners explore new concepts, make informed decisions with data, and deliver better service to their riders. Build, scale, and improve the optimization and backend systems behind those products, and make sure they run fast and reliably in production. Collaborate with designers, data scientists, algorithm researchers, product managers, our in-house transit planners and schedulers, and our customers. Work with a variety of technologies across our stack for different projects, all to deliver great end-to-end user experience. Contribute to discussions about engineering best practices and architecture within your relevant area of expertise. Build and maintain our processes and tools, to keep our productivity and code quality high. About You: You have at least 6 years of professional software engineering experience. You’ve built and scaled a computationally hard system in production, such as optimization, routing, search, simulation, or geospatial processing. Mission-driven: you’re passionate about companies with strong values and missions. User-centric: you find value in talking to customers and addressing core customer needs. You use AI tools effectively in your day-to-day engineering work. Collaborative, humble, empathetic, and feedback-driven. Experience with operations research, mathematical optimization, or applied machine learning is a plus, but not required. Experience with geospatial data, mapping technologies, or data visualization is a plus, but not required. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $180,000-$220,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Belgrade, Serbia; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Remote.BG, Bulgaria; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland We are looking for a Senior Software Developer to help build and improve backend services for a cloud based product. In this role, you will work closely with a cross functional team to deliver practical and high quality solutions for enterprise users. Cloud Product is a large scale cloud based product designed for enterprise customers. You will work on backend capabilities and product improvements in close collaboration with cross functional stakeholders. Develop and maintain backend services using Kotlin, Java, and related technologies Write clean, maintainable, and testable code Create unit tests and participate in integration testing when needed Participate in performance testing when needed Take part in code reviews Contribute to solving complex technical problems with attention to performance, security, and user experience Collaborate with cross functional teams to design, implement, and support product features 4+ years of experience in backend development of commercial web applications using Java and or Kotlin Recent experience with Kotlin Strong understanding of core computer science concepts including data structures, algorithms, and complexity Experience designing and working with APIs Experience building or supporting distributed and scalable systems Hands on experience with Kubernetes, Kafka, Cassandra, or similar tools Good understanding of concurrency and multithreading in Java Upper Intermediate English or higher Ability to work independently in a distributed team Ability to communicate effectively in a multicultural environment Experience with performance optimization Experience contributing to technical design and specifications

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We're looking for a Senior Staff Software Engineer to join our Payments Team, based in the Hong Kong. Payments is where OKX meets the real financial world. Our team has built and operates the infrastructure connecting OKX to dozens of payment channels across global markets, giving users deposit and withdrawal options that are fast, convenient, and — most importantly — trustworthy. That platform moves and safeguards user assets at institutional scale, continuously, across time zones and regulatory environments. This is not a greenfield team looking for its footing. The team is established, the platform is in production at scale, and we are actively expanding — both in scope and in headcount. That combination is rare: you get the leverage of joining a growing team where your work visibly shifts the roadmap, along with the discipline that comes from a system already trusted with real money. It's also an unusually good place to learn. Payments is a domain that's hard to pick up from the outside — every market has its own rails, its own settlement behavior, its own failure modes, its own compliance expectations. Here you'll work across a wide range of payment methods and channels, and you'll build the judgment that comes from operating financial systems where the stakes are real: how to design for correctness when money is on the line, how to reconcile, how to recover, how to keep a platform observable enough that you find problems before your users do. You'll work closely with product managers, designers, and partner-facing teams, and you'll set the technical bar for the engineers around you — through design docs, code reviews, and the everyday habit of doing things properly when nobody's watching. If you like the sound of a team where the problems are genuinely hard, the standard is high, and your opinion changes the outcome, we'd like to talk. What You’ll Be Doing Design and build the core. Develop high-scale, 24/7 APIs and distributed payment services across multiple cloud providers, using Java and Spring Boot as the primary stack. Own systems end to end — from design doc through production ownership. Expand our global reach. Help integrate and scale new payment channels and methods across markets, each with its own technical, operational, and reliability characteristics. Protect user assets. Build for correctness first: consistency, idempotency, reconciliation, failure recovery, and the operational tooling that lets us stand behind every transaction. Set the technical bar. Participate actively in design and code reviews, giving and receiving direct, constructive feedback. Help evolve the standards a growing team builds on. Solve the hard problems. Investigate complex distributed-systems challenges and drive them to resolution rather than handing them off. Partner across functions. Work with product, design, and partner teams across regions to turn ambiguous requirements into shipped systems, and to unblock dependencies before they become delays. Grow the team's capability. Mentor engineers and share what you learn. Seniority here is measured in leverage, not just output. Stay curious. Keep pace with a fast-moving industry and bring the good ideas back. What you'll take away from this role Deep, practical fluency across a wide range of global payment methods and channels — knowledge that is genuinely hard to acquire anywhere else Experience designing and operating systems entrusted with substantial user assets, where correctness and recoverability are non-negotiable A track record of shipping in a regulated, high-stakes domain at real scale What We Look For In You 8+ years of backend software development experience, with a proven track record of building and operating high-availability, large-scale applications. Strong engineering fundamentals — data structures, algorithms, concurrency, and software design patterns — and the judgment to know when to reach for which. Ownership instinct. You take responsibility for outcomes, not just tickets. When something's broken or unclear, you move toward it. Ability to drive cross-team collaboration, managing complex dependencies and competing requirements without losing momentum. Excellent problem-solving skills, and comfort operating with autonomy in a fast-paced environment. Strong written and verbal communication. You can explain a complex technical trade-off to an engineer and to a non-technical stakeholder, and land it with both. Genuine interest in crypto or fintech, and in building things that make money move better. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Atlanta, US Austin, US Denver, US New York, US San Francisco, US Seattle, US Washington DC, US Canada About the Role The Security Platform team is an infrastructure/developer tools group tasked with building and operating powerful, resilient, and secure infrastructure and systems that enable other engineering teams to deliver products to our customers efficiently and securely. We are responsible for secrets management, internal certificate authorities/PKI, machine and workload identity, and more. We are not a policy, audit, or compliance team, but rather an infrastructure engineering/software development one. Responsibilities You’ll build and operate secure and resilient distributed systems for secrets and key management, running across our network that spans more than 310 cities in over 120 countries. Our focus is strengthening/re-architecting internal PKI and machine/workload identity. You’ll run and support the systems we build, both in an operational sense and by helping other internal developers use them. You will participate in the On Call rotation for emergency incident response. You’ll consult on the design and architecture of new systems and products to ensure they are built securely and use our services correctly. Required skills Production software development: Experience designing, building, and maintaining production software in Go, C, C++, Rust, or comparable languages. We value systems-oriented engineering experience, not familiarity with a particular language alone. Production infrastructure ownership: Experience both building and operating critical production services or infrastructure, including debugging failures, recovering service, and improving reliability. Ability to reason about distributed systems and their failure modes. Linux/UNIX proficiency: Hands-on experience administering and troubleshooting Linux/UNIX systems in production. Security engineering: Experience developing or operating software or systems designed to provide security capabilities or enforce security boundaries. This can be part of a broader software or infrastructure engineering role; a dedicated security job title is not required. Applied cryptography: A working understanding of symmetric and asymmetric cryptography and public key infrastructure (PKI), sufficient to make sound implementation choices using established libraries and protocols. Experience designing new cryptographic algorithms is not required. Bonus/nice-to-have skills Experience with secrets management, key management, internal certificate authorities/PKI, or machine and workload identity. Experience managing the lifecycle of keys, certificates, or credentials, including issuance, rotation, expiration, and revocation. Familiarity with HashiCorp Vault, OpenBao, or similar systems. Experience with hardware-backed security, such as HSMs, TPMs, or trusted execution environments. Familiarity with Go, Python, or Salt. Contributions to open source security, systems software, or distributed systems projects. You do not need experience with every technology listed above. We welcome candidates with strong software and infrastructure engineering fundamentals and related security experience. Compensation Compensation may be adjusted depending on work location. For California based hires: Estimated annual salary of $194,000 - $266,000 For Colorado based hires: Estimated annual salary of $168,000 - $231,000 For New York based hires: Estimated annual salary of $185,000 - $254,000 For Washington based hires: Estimated annual salary of $185,000 - $254,000 For Washington DC based hires: Estimated annual salary of $185,000 - $254,000 For Canada based hires: Estimated annual salary of $150,000 - $206,000 Applications will be accepted until December 25, 2026. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote - Global Anywhere Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Our Trading API product team at Alpaca is looking for a Senior Product Manager to drive growth across Alpaca’s direct channel — from core Trading API products to Alpaca Connect / Marketplace, our ecosystem for third-party apps and partners. In this role, you will define and ship product initiatives that deepen developer and trader engagement, expand the partner ecosystem, and grow trading volume and revenue, while closely collaborating with engineering, design, data, marketing, partnerships, operations, and other cross-functional teams across Alpaca. Your Responsibilities: Shape the Alpaca Connect / Marketplace roadmap: self-service partner onboarding and approval, app discovery and distribution, OAuth / consent experiences, and platform utilities that help partners get found, adopted, and scaled Help drive Trading API product strategy by deeply understanding customer and partner needs and behaviors, analyzing ROI, assessing market competition, and evaluating build-vs-buy opportunities Define and own product requirements, partnering with engineering, design, operations, data, partnerships, and other cross-functional teams to deliver high-quality products on time Own product metrics by leveraging data analytics to measure success, identify opportunities, and drive continuous improvement Guide go-to-market strategy and execution, partnering with marketing, sales, partnerships, and operations to drive product adoption, activation, retention, and revenue growth Drive Trading API growth— acquisition, activation, retention, and monetization — by deep-diving the user funnel, removing friction, optimizing conversion, and running experiments that move trading volume and revenue Take ownership of ad hoc projects and initiatives as business needs evolve Who You Are (Must-Haves): Excited about what Alpaca is building Bachelor’s or Master’s degree in Computer Science, Mathematics, STEM, or a related field 6+ years of experience in Product Management, Engineering, Trading, or building a product of your own Deep passion for trading, markets, and financial products Strong analytical skills with proficiency in SQL Sharp business acumen, with the ability to balance user experience, stakeholder needs, technical feasibility, and resource constraints Strategic thinker who can zoom in on solving immediate problems while keeping long-term company goals in mind Highly self-driven, with exceptional communication skills to bridge technical and non-technical audiences Who You Might Be ( Nice-to-Haves): Experience building or scaling trading platforms, brokerage products, developer platforms, or integration marketplaces Hands-on experience with algorithmic trading Technical background with experience working with APIs or partner ecosystems Experience owning growth metrics How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Baku, Azerbaijan Workplace: none PAŞA Sığorta ASC namizədləri Texnoloji həllər departamentində Texniki Lider vəzifəsinə müraciət etməklə peşəkar komandanın üzvü olmağa dəvət edir. Cross-functional squad çərçivəsində məhsulun texniki istiqamətinə, end-to-end delivery və etibarlılığına cavabdeh olacaq Texniki Lider axtarırıq. Bu rolda siz Məhsul Sahibi və komanda ilə sıx əməkdaşlıq edərək biznes prioritetlərinin texniki həllərə çevrilməsində, system design və rüblük planlaşdırmada iştirak edəcək, məhsulun stabil və proqnozlaşdırıla bilən çatdırılmasını təmin edəcəksiniz. Öhdəliklər Squad çərçivəsində məhsulun end-to-end çatdırılma prosesinə cavabdehlik; Məhsul üzrə yeni həllərin, dəyişikliklərin və inteqrasiyaların system design prosesində iştirak etmək; Məhsul Sahibi ilə birlikdə rüblük planlaşdırmada iştirak etmək, biznes prioritetləri, texniki təşəbbüslər, asılılıqlar və məhsulun etibarlılığı arasında düzgün balansı təmin etmək; Sprint çərçivəsində tapşırıqların vaxtında icrasını təmin etmək, texniki riskləri, asılılıqları və maneələri idarə etmək; Məhsulun production mühitində etibarlılığına cavabdehlik, o cümlədən insidentlərə reaksiya, kök səbəb analizi və insidentlərin aradan qaldırılması; Development və delivery prosesinin bütün mərhələlərində PDLC/SDLC proseslərinə riayət olunmasını təmin etmək; Məhsul Sahibi və IT Biznes Analitik ilə birlikdə tələblərin texniki dekompozisiyasını həyata keçirmək; Cross-functional komandanın (Backend, Frontend/Mobile, QA, DevOps və IT Biznes Analitik) texniki işini koordinasiya etmək. Bilik və Bacarıqlar Java/Spring Boot və ya C#/.NET üzrə güclü texniki təcrübə; System Design, distributed və microservice arxitekturası üzrə güclü biliklər; Kafka və/və ya RabbitMQ ilə praktiki iş təcrübəsi; Relyasiyalı və NoSQL verilənlər bazaları ilə iş təcrübəsi; Docker, Kubernetes və CI/CD üzrə yaxşı anlayış; Etibarlılıq, monitorinq, müşahidə və insidentlərin idarə edilməsi prinsiplərini anlamaq; Alqoritmlər və məlumat strukturları üzrə güclü biliklər; Cross-functional Agile komandalar ilə iş təcrübəsi; Güclü problem həll etmə, kommunikasiya və əməkdaşlıq bacarıqları; Yüksək təşkilatçılıq, məsuliyyət və detallara diqqət; Dil bilikləri: Azərbaycan, İngilis Təhsil və Təcrübə Minimum 1 il Tech Lead təcrübəsi və ya squad/məhsul üzrə end-to-end çatdırılma məsuliyyəti daşımış Senior Engineer təcrübəsi. Biz Sizə Təklif Edirik Dəyər yaradan işlər Qərarların qəbulunda iştirak etmək, dəyişikliklərə təsir göstərmək və şirkətin uğuruna töhfə vermək imkanı. Birlikdə güclənən komanda Peşəkar, dəstəkləyici və əməkdaşlığa açıq komanda mühitində çalışma imkanı. Davamlı inkişaf imkanları Yeni biliklər əldə etmək, təcrübənizi zənginləşdirmək və peşəkar inkişafınızı davam etdirmək üçün geniş imkanlar. Etimada əsaslanan iş mühiti Fikirlərinizə dəyər verilən, təşəbbüslərinizin dəstəkləndiyi və inkişafınıza investisiya qoyulan iş mühiti. *Yalnız ilkin seçim tələblərinə cavab verən namizədlərlə əlaqə saxlanılacaqdır. PASHA Insurance OJSC invites candidates to apply for the position of Tech Lead and become a member of our professional team. We are looking for a Tech Lead who will take technical ownership of a product within a cross-functional squad and be accountable for its end-to-end delivery and reliability. In this role, you will work closely with the Product Owner and the squad to turn business priorities into scalable technical solutions, contribute to system design and quarterly planning, and ensure stable and predictable delivery throughout the product lifecycle. Responsibilities Own the end-to-end delivery of the product within the squad; Participate in system design for new solutions, changes, and integrations within the product; Partner with the Product Owner in quarterly planning, ensuring the right balance between business priorities, technical initiatives, dependencies, and product reliability; Ensure timely delivery of sprint commitments while managing technical risks, dependencies, and blockers; Be accountable for product reliability in production, including incident response, root cause analysis, and resolution of underlying issues; Ensure adherence to PDLC/SDLC processes throughout all stages of development and delivery; Drive technical decomposition of requirements together with the Product Owner and IT BA; Coordinate technical activities across the cross-functional team, including Backend, Frontend/Mobile, QA, DevOps, and IT BA. Knowledge and Skills Strong technical background in Java/Spring Boot or C#/.NET; Strong knowledge of System Design and distributed/microservice architectures; Hands-on experience with Kafka and/or RabbitMQ; Experience with relational databases and NoSQL; Good understanding of Docker, Kubernetes, and CI/CD; Understanding of reliability, monitoring, observability, and incident management; Strong understanding of algorithms and data structures; Experience working in cross-functional Agile teams; Excellent problem-solving, communication, and collaboration skills; Highly organized, responsible, and detail-oriented; Language skills: Azerbaijani, English Education and Experience Minimum 1 year of experience as a Tech Lead, or experience as a Senior Engineer with responsibility for E2E delivery of a squad/product. What We Offer Meaningful Work Opportunity to contribute to the Company’s success by participating in decision-making processes and driving positive change. A Team That Grows Together Opportunity to work in a professional, supportive, and collaborative team environment. Continuous Development Opportunities Access to a wide range of learning and development opportunities to enhance your knowledge, skills, and professional experience. A Trust-Based Work Environment A workplace where your ideas are valued, your initiatives are encouraged, and your professional growth is supported. *Only candidates who meet the initial selection criteria will be contacted.

Location: Cluj-Napoca, Romania Workplace: hybrid About Adapt   Adapt, a Welo Global brand, is an international digital performance marketing agency focused on driving the success of digital content across platforms and markets. We offer our customers a unique combination of global services designed to support their growth from strategy all the way through to execution, production, and performance measurement. With a collaborative and inclusive environment, you will join a unique culture which celebrates difference and embraces diversity. You will play a key role in developing strong relationships and shared ethos, whilst at the same time benefiting from a wide range of career opportunities, training, and flexibility for work-life balance.     Our culture is built on curiosity, and we are looking for team members who have a passion for learning about the developments in the industry, their clients, and their peers. In return, we offer the opportunity to develop your ability and exposure to a wide range of clients from growth-minded startups all the way up to global enterprise clients. Our client base is predominantly focused on B2B businesses, though we do also support customers in the e-commerce and retail space. Regardless of vertical, Adapt offers dynamic and diverse challenges that foster creativity, innovation and application of knowledge to create client solutions. Overview At Welo, an SEO Account Specialist leads strategic SEO initiatives across a diverse portfolio of global clients. You’ll leverage technical expertise and a data-driven mindset to develop, execute, and optimise comprehensive SEO strategies that drive measurable business outcomes. Job Description Develop and contribute to comprehensive SEO strategies, including technical audits, content optimisation, and off-site initiatives. Oversee SEO performance tracking and deliver actionable insights through advanced reporting. Collaborate cross-functionally with content, development, and localisation teams to implement SEO best practices. Help identify opportunities to further improve efficiency or quality of work delivered. Own the day-to-day delivery of SEO work against customer objectives. Lead comprehensive SEO audits, identifying and addressing technical issues. Manage and optimise on-page and off-page SEO campaigns. Develop and execute advanced keyword strategies for content optimisation. Oversee and refine link-building strategies to enhance domain authority. Analyse and report on SEO performance metrics, providing actionable insights. Stay updated with the latest SEO trends and algorithm changes. Required experience and background Ideally 2+ years experience in SEO. Any prior exposure to other digital marketing channels is a plus. Ability to work collaboratively with cross-functional teams. Up-to-date knowledge of SEO trends and algorithm changes. Advocate and demonstrable impact on insights and delivery. Ideal Skillset Ability to conduct comprehensive SEO audits and competitive analysis. Experience in leading SEO projects and initiatives. Strong data analysis skills to derive actionable insights and optimise strategies. Experience in developing and executing advanced keyword strategies.

Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role As the Marketplace Operations Lead UK, you will own the economic engine of Wheely’s London business . You will balance supply and demand to ensure flawless service reliability for our clients while maximizing utilization and earnings for our chauffeurs. This is a highly analytical, high-impact role where you will design pricing strategies, optimize marketplace liquidity, and build the frameworks that scale our luxury ride-hailing product. Responsibilities Marketplace Health & Liquidity: Own core marketplace metrics including fulfillment rates, Estimated Times of Arrival (ETAs), chauffeur utilization, and cancellation rates across the market. Pricing & Incentives Strategy: Develop, test, and optimize localized pricing structures, dynamic pricing (surge) algorithms, and chauffeur incentive programs to stabilize the marketplace during peak hours and high-demand events. Product & Algorithm Collaboration: Partner closely with global Product, Data Science, and Engineering teams to improve matching algorithms, dispatch logic, and internal operational tooling. Requirements We are looking for analytically exceptional, entrepreneurial operators who thrive on ownership and are comfortable solving complex, open-ended problems in real-time operating environments. Experience: 4+ years of professional experience in a fast-paced, highly analytical environment (e.g., Marketplace/Platform Operations at a ride-hailing or logistics scale-up, Management Consulting, Investment Banking, or Tech Corporate Strategy). Technical Analytics: Advanced proficiency in SQL is strictly required. You must be comfortable querying large datasets, building your own dashboards, and conducting independent quantitative analysis. Execution Mindset: Proven track record of moving rapidly from data-driven hypotheses to hands-on execution and operational implementation. Nice To Have Direct experience working within the marketplace, pricing, or driver operations teams at a major mobility, on-demand, or location-based services platform (e.g., Uber, Lyft, Bolt, Deliveroo). Experience building and scaling operational processes, automated workflows, or analytics frameworks from scratch. What We Offer Office-based role in West London four days a week with flexible start and finish times, plus one remote day of your choice Base salary of £65,000 to £90,000 p.a. Employee stock options plan Private medical and dental insurance Life and critical illness cover Best-in-class equipment Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: Λευκωσία, Nicosia, Cyprus About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role We’re looking for a Backend Engineer to join one of our teams that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section. Responsibilities Write high-quality, performant code primarily in Go. Implement new microservices while helping us responsibly manage and migrate away from legacy services. Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs. Ensure our systems stay responsive under heavy load, optimising for both latency and reliability. Requirements 3+ years of experience building and maintaining scalable backend services. We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Ruby). In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka. Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: Colombia, Huila, Colombia; São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Senior ML & Data Engineer — Data Quality & Sensitive Data Compliance This is a full-time remote role based in Brazil or Colombia. About the role Enterprise data flows through our connectors, gets processed, and passes through a sanitization layer before anything downstream touches it. Two things have to be true at every step: the data is what we think it is, and no sensitive information — PII, PHI, company identifiable information (CII), or financial data — gets through. You'll own both. You'll do this primarily by building the machine learning that detects sensitive entities in text and image data and replaces them consistently at scale. This is a hands-on IC engineering role with a QA mindset. You'll build the detection models, validation infrastructure, adversarial test sets, and audit processes that let us make strong claims about data quality and de-identification performance — and back them up with evidence. You'll work closely with a senior ML lead, with no client-facing responsibilities. What you'll do Data Quality Run deep dives into enterprise data to assess quality: topic coherence across connectors, domain depth within connectors, completeness, and consistency Design and automate validation suites for data pipelines — schema checks, completeness, drift detection, and reconciliation across raw → processed → sanitized stages Surface and characterize quality issues in ways that engineering and product can act on Sensitive data compliance (PII / PHI / CII / financial) Design, train, and evaluate ML models (NER and other approaches) that detect sensitive entities across text and image-based documents such as scans, invoices, and presentations Build replacement pipelines that substitute detected entities with coherent alternatives, so the same entity always maps to the same replacement across every file in a corpus and the data stays useful Run these algorithms over large volumes of data to prepare it for downstream agentic task building Build adversarial test sets for de-identification across all sensitive data classes: edge cases, obfuscated identifiers, multilingual entities, OCR noise, and formats designed to slip past detectors Cover company identifiable information specifically — organization names and aliases, domains and email patterns, internal project and system names, org charts, vendor and partner relationships, contract terms, and any combination of details that could re-identify the source enterprise Cover financial data — account and routing numbers, card numbers, revenue and pricing figures, transaction records, tax IDs, and financial statements Measure and report de-identification performance by data class — entity-level precision and recall, leak rates, false-negative audits, and replacement consistency Implement regression gates in CI/CD so no pipeline change ships without passing data quality and sensitive-data checks Run sampling-based human-in-the-loop audits and maintain the audit trail as compliance evidence Partner with engineering on root-cause analysis when inconsistencies or leaks are found, and drive fixes to closure What we're looking for About 4 to 5 years of hands-on machine learning experience, with ML as your primary background Strong Python for ML development and data validation (pytest, Great Expectations, Pandera, or similar) Solid SQL and experience validating data across pipeline stages Familiarity with sensitive data categories and the relevant standards — HIPAA Safe Harbor for PHI, GDPR/LGPD for PII, PCI DSS for cardholder data, and confidentiality/NDA obligations for company information Experience building and testing NER or other ML-based detection systems: building labeled eval sets, computing precision/recall, handling non-determinism Understanding of re-identification risk — how seemingly innocuous details combine to reveal an organization or individual Comfort with ambiguity and a fast-moving environment A skeptical, detail-oriented approach — you assume things are broken until you've proven otherwise Nice to have Computer vision and OCR experience, especially building, scaling, and evaluating document pipelines for contracts, statements, invoices, presentations, and internal documents Hands-on experience with financial or healthcare data, including the privacy requirements specific to those industries Startup experience Auditing LLM or VLM outputs Synthetic sensitive-data generation (PII, PHI, company and financial records) Familiarity with the GCP data stack (BigQuery, GCS, Cloud Run jobs) and CI/CD integration Experience handling multi-tenant enterprise data with strict customer confidentiality requirements Compliance reporting or working with auditors Why this role matters Our enterprise customers trust us with their data on the condition that it can never be traced back to them. Every downstream model, dashboard, and customer commitment depends on the data being clean and the sanitization layer being airtight. When you find a leak, you've prevented an incident. When you prove there isn't one, you've earned the trust that lets the rest of the company move fast. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Staff Applied Machine Learning Scientist to develop and continuously improve production-ready edge algorithms that transform sensor data into accurate, reliable, and real-time physiological insights. In this role, you will develop innovative approaches that combine deep learning, machine learning, and signal processing to deliver meaningful value to WHOOP members while optimizing for accuracy, latency, power, and scalability across wearable platforms. You will work closely with a cross-functional team of scientists, engineers, physiologists, and hardware experts to solve challenging problems at the intersection of wearable sensing, physiological modeling, and applied AI. You will develop novel modeling approaches, and own complex algorithmic problems from early development through production deployment and continuous improvement. Your work will directly shape the future of WHOOP’s sensing capabilities and our ability to provide members with accurate, personalized, and actionable insights into their health and performance. RESPONSIBILITIES: - Design advanced algorithms that combine signal processing, physiological modeling, machine learning, and deep learning for physiological time-series and multimodal sensor data, with a focus on accuracy, robustness, and generalization across diverse members and real-world conditions. - Own the development and continuous improvement of production-ready edge algorithms that transform multimodal sensor data into accurate, reliable, and real-time physiological insights. - Analyze large-scale wearable sensor datasets to identify performance gaps, characterize challenging conditions, and drive data-informed algorithm improvements. - Define rigorous evaluation methodologies, validation frameworks, and performance metrics to assess algorithms throughout development and deployment. - Optimize algorithms for embedded deployment, balancing accuracy with power, memory, latency, and compute constraints across current and future wearable platforms. - Set technical direction and establish best practices for modeling, experimentation, validation, and algorithm development across complex sensing problems. - Pursue ambiguous, high-impact technical initiatives from research and prototyping through validation, production deployment, monitoring, and continuous improvement. - Collaborate closely with Data Science, Firmware, Software, Hardware, Product, and domain experts to translate algorithmic innovations into production-ready capabilities and member-facing features. - Stay at the forefront of advances in deep learning, machine learning, signal processing, edge AI, and physiological sensing, and translate relevant innovations into differentiated WHOOP capabilities. QUALIFICATIONS: - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field. - 7+ years of experience developing and deploying machine learning, deep learning, and/or signal processing algorithms for complex real-world applications. - Deep technical expertise in modern machine learning and deep learning methods, particularly for time-series and multimodal sensor data. - Strong foundation in digital and statistical signal processing, with the ability to combine classical signal processing techniques with modern learning-based approaches. - Strong proficiency in Python for algorithm development, experimentation, and large-scale data analysis; experience with C/C++ and embedded algorithm development is highly desirable. - Demonstrated ability to develop robust models using large, noisy, real-world datasets and achieve strong generalization across diverse conditions. - Experience designing rigorous experiments, defining performance metrics, performing error analysis, and translating findings into algorithm improvements. - Experience taking algorithms through the full development lifecycle, from research and prototyping through validation, deployment, monitoring, and continuous improvement. - Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make sound technical decisions. - Experience with physiological signals, wearable sensors, or biomedical sensing is highly desirable. - Experience optimizing algorithms for resource-constrained embedded or edge environments, including tradeoffs across accuracy, power, memory, compute, and latency, is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day work while maintaining high standards for quality and rigor. Join us in pushing the boundaries of wearable sensing, applied AI, and physiological intelligence and positively impacting people’s lives! This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. Relocation assistance + bonus for European and UK candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally eligible to work in Canada . Must be capable of obtaining the required security clearance . English proficiency is required. French is considered an asset. Candidates must have strong experience with fault-tolerant embedded systems supporting LEO, MEO, and/or GEO spacecraft missions. About the Role We are seeking an experienced Satellite Bus Flight Software Systems Engineer to lead and support the system-level definition, architecture, integration, verification, and operational readiness of flight software for current and next-generation spacecraft platforms. This is a systems engineering and technical leadership role at the intersection of spacecraft architecture, platform subsystems, embedded flight software, avionics, mission operations, and verification. You will ensure that spacecraft bus flight software meets platform and payload functional, performance, autonomy, safety, reliability, and operational requirements throughout the full spacecraft lifecycle—from early architecture and detailed design through integration, launch preparation, commissioning, and on-orbit operations. Key Responsibilities Translate functional, performance, safety, and security requirements into flight software requirements and architecture. Allocate requirements to software modules and execution threads while maintaining bidirectional requirements traceability. Define Flight Software (FSW) architecture, including: RTOS Initialization PUS services Autonomy Health monitoring Fault management Payload interfaces Define FDIR algorithms , isolation logic, recovery actions, safe-mode sequencing, and redundancy management. Guide the integration of FDIR logic into flight software. Develop and maintain Interface Control Documents (ICDs) for payload, platform, and ground-segment interfaces. Support Satellite Reference Database development and validation. Collaborate with payload, platform, ground-segment, and mission-operations teams to identify and resolve integration issues. Develop and support Flight Software Verification Plans and integration testing. Support SIL, HIL, fault-injection, performance, and security testing . Support verification and test automation frameworks, test case development, results analysis, and test-report certification. Support spacecraft mode and operational procedure development. Analyze on-orbit telemetry and support software updates and operational improvements. Support SOOH development and operator training. Participate in major design reviews, including SRR, PDR, CDR, MRR/TRR . Mentor junior engineers and serve as a technical liaison with customers, partners, and vendors. Contribute to engineering standards, process improvements, technology roadmaps, and lessons learned. Required Qualifications Bachelor's degree in Electrical Engineering, Aerospace Engineering, Computer Science, Embedded Systems , or a related field. 10+ years of experience working with fault-tolerant embedded systems on LEO, MEO, and/or GEO satellite missions . Experience with: CCSDS ECSS PUS services MIL-STD-1553 SpaceWire RS-422/485 CAN Ethernet Experience with real-time computing cores and/or embedded Linux . Experience with auto-coding or automated code-generation workflows. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, troubleshooting, and problem resolution . Experience with Confluence and JIRA . Ability to work independently with minimal supervision. Strong analytical and problem-solving skills, with the ability to break down complex technical challenges into fundamental components. Excellent written and verbal communication skills in English . Preferred Qualifications Experience with end-to-end spacecraft flight software development and integration. Experience with FDIR, spacecraft autonomy, safe-mode management, and redundancy management . Experience supporting spacecraft commissioning and on-orbit operations . Experience with SIL/HIL , fault injection, and automated verification frameworks. Experience integrating flight software with spacecraft payloads, avionics, and ground systems. French language proficiency. Experience supporting satellite programs from early concept and architecture through launch and on-orbit operations.

Location: Paris 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. ABOUT THE ROLE We are hiring an LLM Scientist to push the boundaries of AI-driven scientific discovery. You will specialize in developing and optimizing large language models (LLMs), agentic AI, and deep learning frameworks to solve open problems in the natural sciences: Biology, Chemistry, Physics, and/or Materials Science. Your work will empower scientists with cutting-edge AI tools and accelerate research through: - Model-centric innovation: Improving LLMs’ capabilities to tackle complex scientific problems (e.g., literature synthesis, autonomous experimentation, rigorous derivations). - Cross-disciplinary collaboration: Partnering with Natural sciences domain experts to translate AI advancements into real-world scientific impact. WHAT YOU WILL DO - AI/ML Research: Participate in end-to-end training of LLM-based solutions, with a focus on scalability, generalization, and scientific applicability. - Data creation: Design original workflows to accumulate high quality scientific data at scale, either through synthetic or crowd sourced pipelines. - Algorithm Design: Use and improve reinforcement learning, or agentic systems tailored to Natural sciences challenges (e.g., modeling resolution, material property prediction, advanced data analysis and coding). - Interdisciplinary Bridge: Work closely with domain scientists to identify AI opportunities and refine models based on feedback. - Tooling & Infrastructure: Contribute to company infrastructure to improve usability for model training in scientific contexts and open-source AI tools for science for non-AI experts. - Autonomous Innovation: Set a research agenda for AI in science, exploring high-risk/high-reward ideas.   WHAT WE'RE ARE LOOKING FOR - AI/ML Expertise: Strong background in LLMs, deep learning, or agentic AI, with a track record of applying these to real-world problems (publications, open-source contributions, or deployed systems) – at the minimum extensive experience in computer science and ideally experience scaling synthetic data generation. - State-of-the-art Knowledge: Familiarity with the latest advancements in LLM architectures and post training. - Technical Depth: Hands-on experience with PyTorch/TensorFlow/JAX, model optimization, and scaling techniques (e.g., fine-tuning, RLHF). - Scientific Capability: Ability to understand 1 Natural Science domain at a high level (e.g., graduate level specialization + general undergrad knowledge) to design effective AI solutions. - Engineering Rigor: Proficiency in scientific computing (e.g., numerical methods, HPC) and software best practices. - Collaboration: Experience translating technical AI concepts for non-experts (e.g., scientists, engineers) and iterating based on user needs. - Mindset: Low ego, team player, and eager to tackle operational challenges (e.g., data pipelines, model deployment). MOTIVATIONAL PARAGRAPH When applying for the AI for Science team at Mistral, please describe in a short paragraph a potential project that you would like to contribute to the team, why it is challenging and interesting in general, and more specifically for Mistral. Please also highlight the specific skill set that you can bring to the team. 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: Georgia; Serbia; Armenia; Cyprus We are looking for a Senior Content Manager to own and grow GoMining's social media presence across YouTube, Instagram, TikTok, X, LinkedIn, and Telegram . This is a hands-on role combining content strategy, production, distribution, community management, and growth. You will be responsible not only for reach and engagement, but also for turning social audiences into registered and paying users. We are looking for someone who understands both crypto culture and mainstream digital audiences, can translate complex products into compelling stories, and knows how to build content that performs. Responsibilities Content Strategy & Production Develop content strategies for different audiences, platforms, and markets. Adapt content to platform-specific formats, algorithms, and user behavior. Translate complex crypto, financial, and technical products into clear and engaging stories. Create and develop original content across short-form video, graphics, photos, threads, and other formats. Work closely with designers and video editors to produce high-quality content. Repurpose product updates, PR materials, and long-form content into platform-native social content. Own the content calendar and publishing workflow. React quickly to trends, news, and market events while maintaining a consistent brand voice. Growth & Performance Develop social media as a measurable acquisition and conversion channel. Own social KPIs across reach, engagement, traffic, registrations, and paying users. Set up and maintain tracking through UTMs, attribution, and analytics tools. Analyze performance, generate actionable insights, and continuously test new formats and growth hypotheses. Build and scale KOL and influencer collaborations — from sourcing and briefing to negotiation and ROI measurement. Experiment with unconventional organic growth mechanics where relevant. Align social activity with CRM, Retention, SEO, Performance Marketing, and PR. Community & Brand Monitor community sentiment and manage moderation across social channels. Support crisis communication and respond to scams, impersonation, negative feedback, and reputational risks. Work with Product, Design, Legal, and Leadership on large-scale multi-channel campaigns. Ensure content complies with regulatory requirements for financial and crypto products, including geo-restrictions and communication limitations. Requirements 4+ years of hands-on social media and content management experience. Proven experience growing YouTube, Instagram, TikTok, X, LinkedIn, and/or Telegram channels. Portfolio or case studies demonstrating measurable growth in reach, engagement, acquisition, or revenue. Experience working with large-scale B2C digital products. Proven ability to turn social media audiences into registered or paying users. Experience with crypto products and communication for both mainstream and crypto-native audiences. Strong understanding of social media analytics, attribution, UTMs, and funnel tracking. Experience working with KOLs and influencers. Ability to independently develop strategy, generate ideas, and manage content production. Strong understanding of platform trends, algorithms, and content formats. Near-native or native-level English (C1/C2), with excellent writing and editing skills. Would be a plus Experience growing and managing communities on Reddit. Experience with CoinMarketCap Community, CoinGecko, Binance Square, or similar crypto platforms. Experience with financial, fintech, investment, or other regulated products. Experience working with global B2C brands. Familiarity with AI tools for content creation, research, and workflow automation. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.   EXAMPLE INITIATIVES You'll get to work on these types of projects as an Inference Performance engineer: - Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/ - How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/ - Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/#eliminating-traditional-bottlenecks - Making Kimi K3 Tokenization 18x faster https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES - Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms. - Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel. - Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs. - Bring up and tune new model architectures on new hardware quickly, often in the same week they're released. - Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations. - Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Experience with one or more general-purpose programming languages, such as Python or C++. - Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching). - Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM. - Demonstrated interest and experience in LLMs. - Deep understanding of GPU architecture.   NICE TO HAVE - Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs) - Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine. - Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity. - Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar) - Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production. - Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).