Вакансии

Location: Remote / Boston / Salt Lake City / San Francisco / New York The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. We're looking for a midlevel or senior IC to join our core engineering team. You'll be responsible for implementing and maintaining our C# client library, and also working alongside our core engineering team on the most performance-sensitive parts of our codebase. Responsibilities Own and maintain our C# client library, ensuring it is robust, well-tested, and easy for external users to integrate with. Design, develop, and maintain high-performance server applications in C++. Write message parsers and feed handlers for direct market data feeds from trading venues. Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds). Implement tools and libraries for petabyte-scale data processing and analysis. Collaborate with the systems team to implement best practices for build, deployment, CI/CD. Implement monitoring and improve application uptime. Ensure smooth feature rollouts and updates. Preferred background 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup. Strong proficiency in both C++ and C#. Experience with Java is a plus. Experience designing APIs with a strong focus on intuitive, developer-friendly interfaces. Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility. Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers. Experience working with multiprocess environments. Comfortable with lldb/gdb. Good communication skills and work ethic for a remote workplace. An interest in low-level optimization and performance engineering. An interest in financial data or algorithmic trading. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $150,000–$250,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: PHD is required Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $25-$30 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: New York City Workplace: Hybrid About Stepful: Stepful is a workforce platform redefining how America's largest health systems build, train, and retain their talent. Since our founding in 2021, Stepful’s trained over 32,000 practice-ready healthcare workers. Layering onto our successful direct-to-consumer training, Stepful partners with leading healthcare institutions to address the growing national shortage of healthcare workers. We’re improving access to quality healthcare for everyone, everywhere, and improving access to healthcare career ladders for those who need them most. Our students form the talent pipelines for major employers such as NY-Presbyterian, Mt. Sinai, HCA, Providence, CVS, and Walgreens. We have partnerships with half of the top 10 health systems in the US and are in process with many more. Stepful is backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $55M Series C led by Oak HC/FT https://www.stepful.com/post/stepful-announces-55m-series-c-to-scale-its-ai-powered-training-platform-across-the-healthcare-workforce. We were named the #1 EdTech company in the U.S. by TIME for 2025 https://www.stepful.com/post/stepful-named-1-edtech-company-in-us-top-10-globally-times-2025-list. Our values: We credit much of our success to our exceptional team. We’re looking for mission-driven builders who thrive in fast-paced, ambiguous environments, and embody our four core values: - Care first: We do whatever it takes for our students to succeed. - Learn quickly: We test, learn with data, and iterate. - Build together: We win when we rely on each other. - Own it: We show up, take initiative, and show pride. The opportunity: We’re looking for a data-driven and creative Growth Marketing Manager to take full ownership of some of our key paid channels. This role is perfect for someone who thrives in a startup environment—rolling up their sleeves, testing fast, scaling what works, and pushing boundaries to hit ambitious growth targets. You’ll manage high-velocity campaigns across Meta, Google, YouTube, and emerging platforms, with direct access to our in-house production studio and a talented creative team to bring bold ideas to life. If you love pairing data with storytelling—and want to see your work drive measurable impact on thousands of students’ lives—this is your stage. This hybrid opportunity is based out of our NYC office, reporting directly into our VP of Growth. What you’ll do: - Own end-to-end paid media strategy across Meta, Google, and potential new channels. From planning through launch, optimization, and scale. - Build and drive a continuous testing roadmap across different tactics, audiences, creative, messaging, and landing pages, translating results into actionable insights. - Manage our Search agency, holding them accountable to performance goals and roadmap execution. - Monitor performance daily, optimizing toward CAC and ROI targets while proactively identifying new growth opportunities. - Own weekly KPI reporting, surfacing trends, efficiencies, and scaling opportunities, and sharing learnings across the team. - Diagnose performance fluctuations and pinpoint the channel and business-level factors driving them. - Partner with the creative teams and external agencies to rapidly produce high-performing video, UGC, influencer, and static assets. - Stay current on platform updates, algorithm shifts, and industry trends to keep our paid social strategy ahead of the curve. - Drive new acquisition and full-funnel growth ideas, playing an active role in shaping and running experiments. What you’ll bring: - 3+ years of hands-on experience scaling paid social and paid search at a D2C startup, ideally managing $1M+ monthly budgets. - A track record of driving efficient growth (CAC, ROI, LTV) while scaling spend. - Strong project management skills, with the ability to handle multiple initiatives at the same time. - Comfort with tactical execution and strategic thinking—you can set the plan and run it yourself. - Sharp communicator, able to flag risks and opportunities to internal stakeholders and manage day-to-day agency relationships. - High attention to detail, with a habit of catching and preventing errors before they become problems. - Experience managing external creative agencies, briefing them effectively, and providing sharp, actionable feedback that helps them iterate toward higher-performing ads. - Ruthlessly analytical. You dig into performance data to uncover insights, and know exactly which levers to pull to optimize campaigns at scale. - Able to translate data into a clear narrative, making it actionable for both day-to-day decisions and broader team alignment. Bonus points if: - You’ve worked in EdTech, healthcare, or another mission-driven B2C industry - You geek out over testing frameworks, UGC trends, and performance marketing communities Interview Process: - Introductory call with Talent Acquisition team member - Interview with Hiring Manager - Take-Home Assignment - Virtual Panel Interview - On-Site Panel Interview Benefits and Compensation: - Meaningful Equity Stake - Medical, Dental, and Vision insurance plan options, including 100% employer-covered options - 401(k) - FSA, HSA and commuter benefits - Open vacation policy, including: - Guidance of 15 days PTO annually - Stepful closed the last week of December - 15 work-from-anywhere days - 10 public holidays observed for 2025 The target base salary range for this opportunity is $120,000 - $140,000, and is part of a competitive total rewards package including performance-based bonus, equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Stepful is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. -- In light of recent hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @stepful.com email address to guide you through our interview process.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT YOUTUBE SCRIPTWRITING MEANS AT HIGGSFIELD At Higgsfield, growth is about distribution and revenue, not fluff or just good ideas. A YouTube Scriptwriter is a high-agency storyteller https://www.highagency.com who: - Crafts scripts that hook viewers and drive engagement. - Turns trends, research, and insights into full-length, actionable video scripts. - Works closely with Growth and Scriptwriting teams to ensure content resonates and converts. This is a hands-on role: you write, optimize, and iterate scripts that the team can directly produce and publish. WHAT YOU WILL DO SCRIPTWRITING & STORYTELLING - Write engaging, audience-focused scripts for YouTube videos. - Craft hooks, narrative flow, explanations, and calls-to-action that keep viewers watching. - Translate research, trends, and insights into clear, structured content. TREND & EDUCATIONAL CONTENT - Cover trending topics, AI tools, tutorials, model comparisons, and other educational content. - Ensure content is accurate, compelling, and aligned with what performs on the platform. - Adapt tone and style for different formats: short-form hooks, long-form explainers, or comparison videos. COLLABORATION & ITERATION - Work with Growth Researchers to understand which trends and ideas are high-priority. - Collaborate with Video Editors and Creative Directors to ensure scripts match production needs. - Take feedback from data and audience performance to continuously improve content. OPTIMIZATION & PERFORMANCE - Suggest formats, hooks, or structures that are likely to maximize watch time, CTR, and engagement. - Keep up with YouTube trends, algorithm changes, and audience behavior to improve scripts. - Help build a library of reusable templates, formulas, and structures for consistent output. WHO WE’RE LOOKING FOR We want creative, high-agency writers, not just people with a portfolio. You should have: - Strong writing skills with a knack for hooks, storytelling, and clear explanations. - Ability to work from research and turn insights into engaging scripts. - Comfort iterating based on feedback and data. - Clear written and spoken English. - Bias toward action: scripts are only valuable if they get produced and perform. BACKGROUNDS THAT OFTEN DO WELL: - Journalists or content writers with social media experience - SMM or digital marketers who write for engagement - Researchers or analysts who can turn insights into compelling narratives - Founders, operators, or early startup writers who have worn multiple hats WHAT THIS ROLE IS NOT This role is not a fit if you: - Prefer theory over execution or writing for ideas that never get produced - Avoid feedback or rewriting scripts - Struggle to meet deadlines or work at a fast pace - Don’t enjoy staying on top of trends, AI tools, or social media THE DEAL - Competitive salary in USD. - On-site role in Almaty office. - Full-time position.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management, SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise risk, and strengthen operational resilience. The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders. RESPONSIBILITIES: - Lead governance, risk assessment, and compliance activities specific to AI/ML systems, LLM integrations, AI agents, and retrieval-augmented workflows - Partner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into GRC frameworks and translate technical risk into governance requirements - Develop, maintain, and refine AI risk and compliance controls aligned with relevant frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk Management Framework, EU AI Act, GDPR, and other applicable standard - Execute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI tools, including third-party risk scoring, control mapping, and remediation tracking - Manage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring documented controls, evidence collection, and follow-up on remediation items - Support audit activities, capturing evidence and coordinating cross-functional stakeholders for internal and external compliance reviews involving AI systems - Develop and maintain AI-specific GRC policies, standards, and procedures that map to AI risk domains, explainability requirements, and compliance obligations - Facilitate AI risk and compliance reporting to leadership, including risk dashboards, trend analysis, control effectiveness measurements, and key metrics - Monitor emerging AI governance requirements, guidance, and best practices, translating them into GRC program updates and compliance recommendations - Support security incident documentation and post-incident analysis for AI system events, coordinating with Legal and Security teams to ensure appropriate governance response QUALIFICATIONS: - 6+ years of experience in Governance, Risk & Compliance, including risk assessment, policy development, audit coordination, and third-party risk management - Demonstrated experience performing governance or risk assessments for AI/ML systems, including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systems - Experience translating AI-specific risks (i.e., data poisoning, prompt injection, model misuse, data leakage, explainability gaps) into documented control requirements and governance standards - Hands-on experience conducting third-party risk assessments for AI vendors, LLM platforms, AI APIs, or machine learning service providers - Experience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001, NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standards - Strong understanding of data governance concepts relevant to AI systems, including training data lineage, data retention, model output handling, and human oversight requirements - Experience supporting regulatory readiness or compliance efforts related to AI systems - Proven ability to collaborate with engineering and security teams to validate control implementation and remediation - Bachelor’s degree in Information Security, Computer Science, Business Risk, Compliance, or a related field 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 https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why the Kubernetes Automation Domain? Kubernetes Automation is Cast AI's core: a family of product teams that turns optimization into real infrastructure. Together, they own the full loop — deciding which nodes to run and where, provisioning them across EKS, GKE, AKS, and our own Cast AI Anywhere, optimizing the workloads on top, and reshaping it all continuously as conditions change. No manual tuning: automation makes the call and makes it happen. The scale is the point. When demand spikes, the platform brings up 15,000 nodes in a single cluster and gets every pod scheduled in under 45 minutes — and tears a cluster of that size back down in under 15 minutes — across multiple clouds at once, mixing instance types and spot capacity in a single operation. Across a fleet of thousands of customer clusters, our teams make the same high-stakes Kubernetes decisions — add this node, drain that one, move that workload, is this change safe — thousands of times a day, and each one has to land cleanly. The problems sit at the intersection of Kubernetes internals and cloud-provider behavior, and much of the territory is undocumented. One team might be writing scaling algorithms, another reverse-engineering managed control planes, another migrating running containers between nodes without disruption. The common thread: deep Kubernetes knowledge, strong infrastructure fundamentals, and the judgment to own high-stakes automation in production. If you have that, you can lead any of these teams — you'll be matched with the team that best fits your strengths and interests during the hiring process. Role overview We are looking for a hands-on Engineering Manager to join one of our Kubernetes Automation teams. It is a hybrid role: you will manage a team and spend at least half your time in the product code. Responsibilities as an Engineering Manager You own product development execution. Lead, mentor, and grow a team of talented software engineers Collaborate closely with the Product Owner and stakeholders to align on requirements and roadmaps Ensure quality, scalability, and resilience in all deliverables Foster a culture of continuous improvement, innovation, and technical excellence Be the role model and champion of Cast AI core values Responsibilities as a Software Engineer You will work in a highly skilled team across the full development lifecycle. Take on scaling challenges at fleet level Participate in feature brainstorming, requirement gathering, and solving customer needs Design and architect software for scalability, maintainability, and performance Write clean, maintainable, documented code using best practices Ensure reliability through test coverage and local testing Contribute to CI/CD pipelines and the monitoring and alerting stack Respond to incidents to resolve customer issues or service disruptions Support the team's code (on-call week every few months) Requirements Proven experience managing and leading a technical team Strong software engineering skills Strong verbal and written communication skills In-depth knowledge of Kubernetes and experience managing multi-cloud environments (AWS, GCP, Azure) Knowledge of cloud-native infrastructure, APIs, and cloud-provider-specific implementation differences Hands-on experience with IaC tools such as Terraform Proficient in designing and managing CI/CD pipelines (GitLab CI, ArgoCD) with a GitOps approach Strong analytical, problem-solving, and troubleshooting skills What's in it for you? Competitive salary (up to €10,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don't. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity, we hire from: Bulgaria, Croatia, Cyprus; Estonia, Finland, Greece, Hungary, Ireland, Latvia, Lithuania, Malta, Moldova, Montenegro, North Macedonia, Poland, Romania, Slovakia, Slovenia, Sweden and Ukraine. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.

About the Role You will design, implement, and evolve the Taproot Assets Protocol, working on mission critical peer-to-peer cryptocurrency daemons written in Go. You'll collaborate with the wider team on researching and designing future iterations of the protocol, participate in issue triage and code review of open source contributions, and communicate with the broader community and industry about the software and technology you build. Requirements — Strong engineering background with solid programming skills — Experience in Go desired, C or C++ relevant as well — Thorough understanding of the principles of distributed systems and peer-to-peer networking — Solid engineering practices and processes, such as testing methodology and documentation — Experience with Bitcoin, cryptography, and/or financial software — Prior contributions to crypto protocols and open source software collaboration preferred — Quick learner, geared towards implementation — Eager to develop new skills and willing to take ownership of projects Responsibilities — Design and implement core Taproot Assets Protocol (TAP) features and algorithms — Contribute to mission critical peer-to-peer cryptocurrency daemons written in Go — Collaborate with the team on research and design of future iterations of the Taproot Assets Protocol — Participate in issue triage and code review of open source contributions — Communicate with the wider community and industry about the software and technology

Location: Bremen, Germany Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology About the Position The research group of Dr. Sari Sadiya at Constructor Knowledge Labs (CKL) , in collaboration with Constructor University (CU) and Constructor Technology (CT) , invites applicants for Ph.D. student positions in Computer Science with a focus on wearable intelligence, multimodal data fusion, and edge AI . The project investigates how wearable data streams can be transformed into structured knowledge and integrated into a knowledge-grounded digital avatar that supports bi-directional collaboration in education and research. Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction . In close collaboration with academia and industry, they will contribute to building privacy-preserving, real-time personalization frameworks while pursuing their doctoral dissertation. About the Program The PhD program is research-centered, emphasizing original contributions in: Wearable data analytics and fusion methods Biomedical data analytics On-device processing and performance modeling Personalization and adaptive reasoning systems AI for Education Doctoral students will also have access to specialized courses in: Artificial Intelligence, Machine Learning, and Edge Computing Advanced Computational Methods and Data Science Cognitive Science and Human-Centered Computing As part of the program, students will collaborate with Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes. Research Focus This PhD position is part of the Wearable Intelligence Project , with two main research directions: Data fusion of heterogeneous temporal streams Designing algorithms to unify multimodal signals (physiological, cognitive, contextual, scheduling, and learning data). Developing pipelines that produce structured insights powering the Agentic Personalization Engine (APE) . On-device data processing & performance modeling Developing models balancing computation, energy, and data flows across wearable, edge, and cloud environments. Exploring feasibility of running compact micro-LLMs directly on wearables . The overarching goal is to create scalable, ethical, and transparent personalization systems that support education and research. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €603 mini-job allowance to support parallel part-time employment (optional) Constructor Knowledge Labs actively supports candidates in preparing applications for external funding — doctoral scholarships, foundations, or international mobility grants — and can provide institutional support and references Applicant Profile Mandatory requirements: MSc degree (or equivalent) in Computer Science, AI/ML, Data Science, Cognitive Science, or related disciplines. Strong background in AI/ML, signal processing, or edge computing. Hands-on experience with wearable or multimodal data (e.g., heart rate, EEG, activity, sleep, GPS) . Solid mathematical and computational modeling skills. Proficiency in academic English writing (e.g., reports, papers, theses). Preferred qualifications: Experience with LLMs, multimodal data fusion, or agent-based AI systems . Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks . Demonstrated ability to conduct independent research and collaborate across disciplines. Interest in teaching, mentoring, and applied industrial research. Application Details Deadline : August 31, 2026 Required documents: Curriculum Vitae (CV); Academic transcripts; Letter of motivation outlining research interests and career goals; 2 recommendation letters. Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Annapolis, MD The Patient Access Associate (PAA) is a hospital-based, non-clinical healthcare professional who serves as the first point of contact for patients. In this pivotal role, the PAR ensures a positive patient experience during the registration and admission processes by accurately collecting essential demographic and financial information. 1. Patient Identification and Documentation: · Greet patients and visitors courteously and professionally. · Accurately identify patients in the Master Patient Index to reduce erroneous duplicate medical records, maintaining a 98% accuracy rate in medical record creation. · Update demographics per legal identification. · Verify the information on armbands before placing them on patients. · Explain all required documents verbally, obtain signatures appropriately, and document any inability to obtain signatures correctly, including immediate scanning into EMR, per process. · Process all ‘unable to sign’ consents per process, including following legal algorithms to research and communicate with patient contacts to obtain appropriate surrogate; escalate to next steps (Care Management) when unable to find surrogate. 2. Patient Registration and Insurance Verification: · Conduct face-to-face interviews to accurately obtain and process patient demographic and financial information, maintaining a minimum accuracy rate of 97% for error-free registrations. · Process and act on Real-Time Eligibility (RTE) messages, including adding, terminating, and correcting coverages. · Identify all true self-pay patients accurately and forward to Medicaid eligibility and application staff, ensuring only true self-pay patients are screened. · Scan all required documents into patient records and place HAR notes on accounts when necessary. · Identify and resolve insurance verification issues, informing patients of available options, including financial assistance. 3. Regulatory Compliance and Customer Service: · Ensure all patients receive necessary regulatory information and enter appropriate documentation in the EMR (e.g., HIPAA, Patient Rights Brochure, IMM, NOOS, ABN, etc.). · Explain hospital policies, procedures, and financial responsibilities to patients and their families, providing excellent customer service. 4.       Appointment Scheduling: · Schedule appointments, surgeries, and other medical procedures according to patient and provider preferences. · Verify insurance coverage and obtain pre-authorizations as needed. 5.       Financial Communication: · Communicate financial responsibilities to patients and collect funds in accordance with established protocols. · Make referrals to Charity Care and Medical Assistance when needed. 6.       Workflow Management: · Answer and direct incoming and external calls promptly. · Independently prioritize work, including work queue management, patient registrations, insurance verification, and other assigned tasks to meet performance and productivity standards within department deadlines. · Identify and correct errors in accounts using appropriate tools (e.g., NextBar, OneSource). 7.       Meeting and Training Participation: · Attend departmental staff meetings or watch videos when absent. · Attend all required in-person training/in-services and complete all educational assignments within the required timeframe. · Read and respond to emails during each shift. 8.       Adherence to Policies: · Adhere to hospital policies and procedures, including timely arrival, minimal absences, appropriate attire, readiness for work, and minimal personal electronic usage. · Adhere to the RISE values. Contribute to a positive work environment that promotes teamwork, collaboration, professionalism, and continuous improvement. 9.       Additional Responsibilities: · Perform other duties as assigned by the Director, Manager, or Supervisor. Experience/Education/Certification Requirements: High school diploma or equivalent. 0–11 months of direct Patient Access or healthcare registration experience. Strong verbal and written communication skills to interact with patients, families, and clinical teams. Demonstrated ability to work both independently and collaboratively in a high-paced healthcare environment. Excellent attention to detail and accuracy in data entry and documentation. Compassionate, patient-centered approach to service delivery. Must obtain Certified Patient Access Specialist (CPAS) certification within 8 months of hire. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands – Light Work – Exerting up to 20 pounds of force occasionally and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $17.50 — $24 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Worldwide IMPORTANT NOTE: If you have already passed the 20four7VA Recruitment Process after the Final Interview, or you have been hired by a 20four7VA Client before, make sure that you are applying via the 20four7VA Team Portal , for faster processing of your application. You will be logging in using your 20four7VA email address. If you have just logged in to the Team Portal, please continue reviewing the Job Description below. If you have just logged in to the Team Portal, please continue reviewing the Job Description below. You don't need to type all the information in the application form, upload your resume first and see the magic! If you are interested in the job, click APPLY TO POSITION. ******************************************************************** About the Search Engine Optimization (SEO) Specialist position: We are looking for an SEO/SEM expert to manage all activities in the areas of search engine optimization and marketing. The SEO Specialist is responsible for managing all SEO activities including but not limited to: content strategy, link building, and keyword strategy. This skilled management is what we need in order to increase rankings on all major search networks. Your charge will also be the management of all SEM campaigns on Google, Yahoo, and Bing in order to maximize ROI. Search Engine Optimization (SEO) Specialist responsibilities are: Execute tests, collect and analyze data and results, identify trends and insights in order to achieve maximum ROI in paid search campaigns Track, report, and analyze website analytics and PPC initiatives and campaigns Carefully manage budgets for campaigns, remaining on budget with the ability to estimate monthly costs as well as remedy any discrepancy that may arise. Optimize copy and landing pages for search engine marketing Continually perform keyword discovery, expansion, and optimization Research and implement search engine optimization recommendations Research and analyze competitor advertising links Conceptualize and execute link-building strategy Ensure newly developed code meets SEO best practices by working with the development team Drive SEO in content creation and programming by collaborating with editorial and marketing teams Search for opportunities to optimize website architecture, content, linking, and other factors in the interest of improving SEO positions for target keywords. Search Engine Optimization (SEO) Specialist requirements are: Proven SEO experience Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing. Sound comprehension of performance marketing, conversion, and online customer acquisition In-depth experience with website analytics tools (e.g., Google Analytics, NetInsight, Omniture, WebTrends) Experience using, reading, and understanding bid management tools such as Click Equations, Marin, Kenshoo, and Search Ignite Experience with A/B and multivariate experiments Working knowledge of HTML, CSS, and JavaScript development and constraints Knowledge of ranking factors and search engine algorithms Continually current on the latest trends and best practices in SEO and SEM BS/MS degree in a quantitative, test-driven field Want to work with this amazing client? Apply now and join 20four7VA! Join the remote world, today. What we offer: Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance from managers and mentors Clear schedules and guidelines A vibrant community always ready to support you And more!

Location: Mapbox Germany; Finland; Mapbox UK Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO We build the mission-critical engine that powers real-time navigation for global customers like BMW, Porsche, DoorDash, and Instacart. We process petabytes of geospatial data through a sophisticated blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates - from traffic jams to road closures. The intelligent AI agents we build enhance our core algorithms, ensuring Mapbox maps are as dynamic as the roads themselves and that millions of drivers reach their destinations in the most optimal way possible.   Engineers on this team develop and deliver of every stage of the event detection lifecycle: 1. Intelligent Ingestion and Detection: Building automated agents to gather data and discover closures using proprietary Mapbox signals. 2. Validation and Conflation: Leveraging algorithms to invalidate stale data and merge duplicate reports into a single, high-fidelity source of truth. 3. Strategic Delivery: Designing the systems that expose this data across the entire Mapbox ecosystem. 4. AI Collaboration: Partnering with the MapGPT team https://www.mapbox.com/mapgpt to evolve our Feedback Agent https://www.mapbox.com/feedback-agent, allowing us to refine the map using real-time customer insights.   As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO As an Engineering Manager supporting our Traffic Events Detection organization, you will lead innovative and high-performing multi-disciplinary teams who are building the Events Detection product using a blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates. You will be responsible for driving your team’s day-to-day work, fostering the growth and development of the people on the team, and aligning the team’s work with the company's priorities. Thousands of customers rely on Mapbox services to seamlessly handle billions of requests every day and scale in real-time to global events. You will drive solutions that remain robust, reliable, and innovative in a fast-evolving technological landscape. - Deliver complex, high-impact projects while providing technical expertise and mentorship to your team. - Operate your team’s day-to-day and be hands-on in project management and sprint planning. - Manage operational best practices for on-call and related responsibilities. - Empathize with internal and external customers delivering features that address their needs. - Manage and develop the team through hiring, retaining, mentoring, and continually building the team’s capabilities. - Drive company, product, and team objectives, carrying your team and relevant stakeholders along in the decision-making. - Work with Product and Engineering teams to develop the long-term business strategy driving the team’s work. - Establish, track, and iterate on operational metrics to ensure the team is delivering products that meet or exceed customer expectations. - Determine best engineering practices and promote them within the team and across Mapbox. - Foster a culture of collaboration, innovation, diversity, and data-driven decisions on the team. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: Bachelor’s degree in Computer Science, or equivalent practical hands-on engineering experience. - Technical Skills & Tools (Must-Haves): - 5+ years of people management experience: You have managed remote engineering team(s) leading to product execution and business outcome while growing and developing a team of engineering talent. - Hire & Develop: You understand the importance of hiring the best diverse talent and creating a culture where your team members can learn & grow with the organization. - Technical Expertise: You have deep knowledge and experience of building scalable web services and data pipelines in AWS. - Operational Excellence: You drive a culture of quality and continuous improvement within your team and personally embody a passion for monitoring, metrics, triage, resolving customer issues, and iterative improvement. You help foster the end to end development of clearly designed interfaces, documentation, thorough test coverage, and effective code reviews. - Ownership & Execution: You own the vision, lead the strategy, and guide the team to execute towards building the future of your product. - Customer Focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Strong written and verbal communication: You can talk and write about complex ideas concisely to a wide audience. - Core Competencies & Scope: - Experience leading cross-functional teams of 5+ people EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: Full-time - Location/Hybrid Policy: Remote WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb Workplace: Remote RUST ENGINEER - TRADING SYSTEMS ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. MISSION STATEMENT We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage. As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones. JOB DESCRIPTION - Design, develop, and optimise low-latency, mission-critical trading systems - Own key trading stack components end-to-end — from architecture through to production operation - Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience - Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence - Troubleshoot complex production issues across exchange connectivity, execution, and market data handling - Drive engineering standards through technical leadership, code reviews, and mentoring - Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling - Contribute to functional, component, and production-readiness testing for critical trading components BACKGROUND AND EXPERIENCE TECHNICAL SKILLS - Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage - Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk - Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting - Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling - Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds - Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK) - Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation - Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems SENIORITY & COMPETENCIES - Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise. - Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions. - Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes. - Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions. - Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you. - Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation. - Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team. OUR RECRUITMENT PHILOSOPHY We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes. OUR OFFER - A competitive salary package - Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely - The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE ROLE Checkout.com http://Checkout.com is looking for a Data Scientist to join our ambitious team, focused on discovering, designing, and experimenting with new estimators, models and features to boost payment performance across our portfolio of merchants. You will work closely with Data Scientists, Product and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. KEY RESPONSIBILITIES - Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance. - Design and implement experiments to produce actionable insights, focusing on managing time-based data leakage and ensuring robust model evaluation. - Collaborate with other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks. - Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. - Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non-technical audiences. ABOUT YOU - 3+ years of experience developing machine learning models to solve business problems. - Strong understanding of supervised ML algorithms, tuning, and performance evaluation. - Experience with a range of feature engineering techniques (e.g. target encoding). - Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. - Experience in writing clean, production-grade Python code for both model training and inference. - Excited to leverage LLMs for coding support and process optimisation to maximise personal and team productivity. NICE TO HAVE - Experience with advanced data transformation techniques (e.g., lambda functions). - Familiarity with, or hands-on experience in, recommender systems, contextual bandits, or network intelligence applications. - Experience in fintech, payments, or building cross-disciplinary relationships for advice and guidance. - Familiarity with the unix shell, Databricks, Docker, and common cloud platforms (GCP/AWS). Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: San Francisco, United States About the Opportunity We are partnering with an innovative early-stage robotics company developing intelligent automation solutions for industrial manufacturing. The team is building advanced robotic systems that combine perception, motion planning, and real-time control to solve complex automation challenges in production environments. This is an opportunity to join a small, highly technical engineering team where you'll have significant ownership, work directly with robotics hardware, and help build core technology from the ground up. What You'll Do Design, develop, and maintain robust software for industrial robotic systems. Build and optimize motion planning, trajectory generation, and real-time control algorithms. Develop vision-based robotic applications by integrating cameras and other sensors. Improve system performance, reliability, and scalability across embedded and cloud-based environments. Write clean, modular, well-tested code following software engineering best practices. Perform simulation, testing, and real-world validation of robotic systems. Collaborate closely with software, hardware, and controls engineers to deliver integrated robotic solutions. Contribute to system architecture and technical design decisions. What We're Looking For Required Qualifications Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field. Strong software development experience in Python. Solid understanding of robotics fundamentals, including: Kinematics Dynamics Control theory State estimation Experience with Git, software testing, and debugging. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Must be authorized to work in the United States without future sponsorship due to export control requirements. Preferred Qualifications Master's degree in Robotics, Computer Science, or a related field. Experience with ROS or other robotics middleware. Experience with motion planning, trajectory optimization, and real-time robotic control. Experience working with industrial robot arms or robotic manipulation systems. Familiarity with computer vision and 3D perception. Experience optimizing software for embedded or edge computing platforms. Knowledge of distributed systems or cloud-based robotics infrastructure. Ideal Background We're especially interested in engineers who have experience developing software for robotic manipulation systems in industrial, manufacturing, or automation environments. Candidates who enjoy building new systems from the ground up, working across hardware and software, and taking ownership of challenging technical problems will thrive in this role. What You'll Find Opportunity to work on cutting-edge robotics technology. High-impact engineering role with meaningful ownership. Collaborative, fast-moving technical team. Competitive compensation and equity package. Relocation assistance may be available for qualified candidates.

Location: Montreal Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Software Developer Intern , you will join one of our development teams supporting our network development initiatives or trading businesses. Depending on the team you join, you will build advanced trading, analysis and risk applications, or advanced monitoring and automation systems leveraging cutting-edge technology. DRW enables our Software Developer Interns to develop computationally intensive software under the guidance of senior technologists with the goal of deployment during your internship. While your days will have you immersed in complex projects directly driving DRW's progress, your time also will be packed with education, responsibility, problem-solving, and social events to experience what it is like to work at DRW. How will you make an impact? Design, develop test, and deploy proprietary software development solutions across the firm. Examples include creating: MLOps and High Availability inference systems Data pipeline engineering Agentic / RAG / MCP(tools) Development GPU optimization and management Full stack web applications and dashboards Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner Conduct research using a data driven approach to employ statistical analytics on large data sets Collaborate with other software developers, quantitative traders and researchers as well as business analysts in cross-functional team environments What do you bring to the team? Are pursuing a bachelor's, master's, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics or any related science discipline and have an expected graduation date between December 2027 and June 2028 Have exposure to multi-threaded applications, computational intelligence, algorithms, real-time programming or GUI programming Have strong understanding of object-oriented design, data structures, and algorithms Exhibit excellent software development skills in at least one of Python, JavaScript (Node, React, and/or Angular), C++, Ruby, C#, Go or Java, and a deep curiosity to learn and absorb new technologies quickly What to expect during the internship? Meaningful projects: You'll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie. Housing: DRW provides fully furnished apartments located close to the office making your morning commute as easy as possible. Mentorship: You'll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. 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. 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-SB1

Location: Chicago, New York City Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Researcher , you will develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. You will have access to clean data integrated with compute resources and the support of experienced researchers, traders and dedicated software developers. You will conduct quantitative analysis of market data to uncover relationships and identify historical trends. We do not require familiarity with or prior experience in financial markets for this role. We will give you the training you need to be successful. How you will make an impact Extract predictive signals from financial data through both traditional statistical analysis methods and cutting edge machine learning techniques Assist software developers to translate research strategies into production software Optimize the order execution and risk management of our trading system Create robust solutions to problems presented in the trading environment Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas You will be right at home if you have… A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between December 2026 and August 2027 (Bachelor’s, Master’s, PhD) A curiosity for model development and experience handling large data sets Expertise in programming using Python, R, MATLAB, or C++ for conducting research Can advocate for your beliefs in a concise and effective way with the team Significant hands-on experience applying machine learning algorithms to real world problems Strong problem-solving and statistics skills The proactive ability to take the lead on assignments and deliver practical research results in a timely manner 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. The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. 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-SB1

Location: Chicago, New York City Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory.  The teams focus on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organized social events to truly discover what it’s like to live and work in Chicago or New York City. How you will make an impact… Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities Work closely with traders and researchers to build and refine research infrastructure and tools What you bring to the team… Are pursuing a Bachelor’s, Master’s or PhD in a technical discipline with a focus on Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2027 and August 2028 Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc. Proficient programming skills with experience exploring large datasets Strong analytical and problem-solving skills including a solid foundation of statistics knowledge Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc. Some exposure to Natural Language Processing and/or High-Performance Computing is a plus Excellent written and verbal communication skills to report research results as well as methodologies Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing What to expect during the internship Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. 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. The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. 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-DNI

Location: Chicago Our formula for success is simple: hire exceptional talent, empower bold thinking, and reward performance that drives impact. As a Software Developer at DRW, you will be an integral member of a dynamic team of technologists, quantitative researchers, and traders. Collaborating closely, you will contribute across the full technology stack tackling complex problems that require careful analysis and swift execution. We’re looking for individuals who are eager to learn, think critically, and deliver solutions that drive tangible impact. From day one, you will be entrusted with meaningful responsibility, supported by mentorship from experienced engineers, and participate in a rigorous training program designed to accelerate your growth in this role. At DRW, you’ll thrive in a fast-paced, collaborative environment that values innovation, adaptability, and excellence—providing the tools and opportunities to make a direct difference. How You Will Make an Impact: You will design, develop, test, and deploy proprietary software that powers fundamental aspects of our business, such as: Design, develop , test and deploy proprietary software including : Trading strategy simulation software optimized for distributed computation Large scale data acquisition, storage, accessibility, and visualization Ultra-low-latency trading strategies Complex algorithmic trading systems Real time trade management and risk analysis platforms Low level optimizations for data processing Fully automated trading strategies Adapters for exchange protocols Robust inter process communication mechanisms Analyze and tune system performance Collaborate with experienced teammates to learn and implement bespoke solutions that balance speed, features, and cost to improve our technology stack What You Bring to the Team: You’ll join us with a strong technical foundation and the ability to collaborate effectively. Specifically, you bring: A degree in Computer Science, Physics, Mathematics, or a related engineering discipline, with graduation expected between December 2026 and June 2027 (Bachelor’s, Master’s, or PhD) Proficiency in modern C++, Java or Python Skills in multi-threading, API design and integration, data processing, and UI development Skills in network programming (TCP/IP), multi ‐ threaded applications, computational intelligence, real ‐ time programming or GUI programming A strong grasp of object-oriented design, data structures, and algorithms Solid programming fundamentals paired with clear logical thinking and effective communication The ability to clearly articulate and advocate for your ideas within a collaborative team environment DRW is a diversified trading firm with over three decades of experience bringing together sophisticated technology and exceptional talent to operate in markets around the world. We trade using our own capital and at our own risk, giving us the autonomy to move quickly and adapt to new opportunities. Headquartered in Chicago, with offices across the U.S., Canada, Europe, and Asia, we participate in a broad range of asset classes, including fixed income, ETFs, equities, FX, commodities, and energy—trading across all major global markets. Beyond traditional trading, we’ve extended our expertise into real estate, venture capital, and cryptoassets. At DRW, we value respect, curiosity, and open-mindedness. We believe that how we work is just as important as what we do. Our culture is defined by high expectations, integrity, innovation, and a willingness to challenge the status quo. The annual base salary range for this position is $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. 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-DNI