At Eight Sleep, we are pioneering the future of sleep fitness. Our mission is to empower individuals to unlock their full potential through optimal sleep. Leveraging state-of-the-art technology, thoughtful design, and rigorous scientific research, we aim to personalize and enhance sleep experiences—revolutionizing how people sleep for the better.Supported by prominent investors from Silicon Valley, we have proudly been named one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023.Our flagship product, the Pod, uses temperature-regulated technology to significantly improve health and happiness by transforming sleep. The Pod has been recognized by TIME as one of the “Best Inventions of the Year” for two consecutive years. It is available for purchase in North America (United States and Canada) and across the United Kingdom and select European countries (Belgium, France, Germany, Italy, Netherlands, Spain, Sweden, Denmark) as well as Australia through eightsleep.com. We are thrilled by the Pod's success and are determined to continue on our journey to fulfill our mission.We invite you to join our team as a Senior MLOps Engineer, where you will play a crucial role in bringing current and future generations of Pod ML models to life. You will collaborate within a nimble team to design and implement innovative solutions that enhance our members' sleep experiences. Your contributions will directly impact our fleet of existing Pods, demonstrating low friction and significant business impact. We are a dynamic and rapidly growing company, seeking individuals who possess a growth mindset and a passion for helping us achieve our goal: to improve lives through optimal sleep.Your ContributionsInnovate with Advanced Technology: Implement cutting-edge machine learning technologies into our products and processes to enhance health monitoring capabilities.Take Charge of ML Infrastructure: Design and manage robust ML infrastructure, creating scalable data, model, and deployment pipelines that ensure reliable model delivery to production.Collaborate Across Teams: Work alongside R&D, firmware, data, and backend teams to ensure reliable ML inference that scales to Pods worldwide.Optimize ML Systems: Enhance performance by driving cost-effective, scalable ML systems through optimizing compute, storage, and deployment resources.Improve Tooling and Platforms: Develop tools, microservices, and frameworks to streamline our data and model operations.

Join Binance, a premier global blockchain ecosystem, as a Data Scientist focusing on Market Growth. In this pivotal role, you will harness advanced algorithmic models to enhance marketing strategies. You'll predict user behavior, optimize ROI, and develop sophisticated traffic allocation tactics. Your responsibilities will include creating precision marketing models such as CTR/CVR predictions, LTV forecasting, and channel attribution analyses, all while leveraging user profiles and real-time behavioral data. Collaborating closely with cross-functional teams, you will drive measurable growth through data-driven strategies for user acquisition, retention, and repurchase, validating your work through A/B testing and causal inference.

Position: Senior Data ScientistLocation: Remote (Eligible candidates from Egypt, Uzbekistan, and Pakistan)Work Schedule: Sunday – ThursdayWorking Hours: 9:00 AM – 6:00 PM (Saudi Arabian Time Zone)Job Overview:Join our dynamic team as a Senior Data Scientist who will spearhead the creation and implementation of sophisticated machine learning models to drive essential business insights. This pivotal role entails comprehensive ownership of machine learning solutions—from conception and enhancement to execution and oversight within live production settings. You will significantly contribute to formulating our data science vision, mentoring less experienced team members, and ensuring that analytical findings yield tangible business results. Your expertise will be crucial in steering product innovation and fostering growth.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and enhancing longevity. We leverage state-of-the-art scientific advancements to empower individuals to take charge of their health and realize their fullest potential. Our team is the core of our mission and plays a critical role in driving our success. We approach every initiative grounded in our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeSince our inception, Hone has embraced a fully virtual model and will continue to prioritize remote work.Our Ideal CandidateThe ideal candidate is a mission-driven, dynamic individual who thrives in fulfilling and impactful work. They are adaptive to change and tackle challenges with enthusiasm. With a commitment to excellence, they understand the fast-paced, high-growth nature of our organization and can manage both independent and collaborative tasks effectively. They lead with transparency and humility, driving initiatives forward while remaining open to continuous learning. They are passionate about contributing to a team focused on helping people live longer, healthier lives.The RoleHone is seeking a Senior Data Scientist, Marketing to enhance our expanding data team. Reporting to the Sr. Director of Data, Analytics, and Machine Learning, you will collaborate closely with Marketing, Growth, and Product teams to boost customer acquisition, conversion, and retention through insightful data analysis and modeling.Your primary focus will be on developing and applying statistical models, conducting experiments, and performing analyses that inform marketing strategy, optimize funnel performance, and enhance customer lifetime value. This senior individual contributor role offers significant ownership over execution and delivery, ideal for someone who excels at transforming business inquiries into machine learning solutions while producing high-quality work independently and fostering cross-functional collaboration for measurable outcomes.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Collaborate with Marketing teams to analyze and enhance the entire customer funnel, encompassing acquisition, conversion, retention, and churn.Develop and maintain robust statistical models and...

Welcome to Kaizen GamingAt Kaizen Gaming, the driving force behind Betano, we are proud to be one of the largest GameTech companies in the world, serving 19 diverse markets. Our mission is to harness the latest technology to deliver unparalleled experiences to millions of customers who rely on us for their entertainment.We boast a vibrant team of over 2,700 Kaizeners from more than 40 nationalities across three continents.Recognized as one of the Best Workplaces in Europe and certified as a Great Place to Work in our offices, we promise you that no two days will be the same. Are you ready to Press Play on Your Potential?The Role OverviewAs our Lead Principal Data Scientist, you will be pivotal in harnessing data and AI to generate value and secure a competitive edge for our organization. We are seeking a seasoned Data Scientist or AI Engineer with a proven history of architecting and executing innovative, data-centric, AI-driven applications and their associated machine learning/deep learning algorithms.

As a trailblazer in the remote-first tech landscape, Canonical inspires individuals globally with its innovative products. Our unique hiring process empowers our Hiring Leadership team to take charge of talent selection. The Talent Science team plays a crucial role in ensuring that our recruitment methods are effective, enabling us to identify and select exceptional candidates. This is an outstanding opportunity to be part of a team that is revolutionizing hiring practices.We are committed to employing objective, scientifically rigorous, and efficient methods to attract the best talent, irrespective of location, culture, or background. By collaborating closely with a select group of hiring partners, we ensure our judgment in candidate selection is exceptional, adhering to a model that supports the identification of top-tier talent. Our initiatives, automation strategies, and expertise in talent assessment drive our success.We are looking to enhance our graduate hiring strategy to identify and evaluate outstanding junior talent. This role will concentrate on forging strong partnerships with prestigious universities globally. The ideal candidate will have experience leading graduate recruitment on a regional or global scale within the tech sector, a solid academic background, and the capability to analyze data, assess performance outcomes, and develop dashboards to track results. This role transcends traditional recruitment; it focuses on the science of talent and performance, fostering insights across the organization to ensure the selection of the best candidates from our global talent pool.Location: This is a remote position based in the EMEA region.

About TrafileaTrafilea is an innovative Consumer Tech Platform dedicated to driving transformative brand growth. We are on a mission to build the AI Growth Engine that will empower the next generation of consumer brands.Having achieved over $1 billion in cumulative revenue, we proudly serve over 12 million customers and employ more than 500 talented individuals across 19 countries. Our unique blend of technology, growth marketing, and operational excellence enables us to scale purpose-driven, digitally native brands.Unlike agencies, we own and operate our own digitally native brands, with a significant presence in major retailers such as Walmart, Nordstrom, and Amazon, alongside a robust global D2C footprint.Why Join Trafilea?We are a tech-driven eCommerce group scaling our own globally loved DTC brands, while fostering rapid growth for ambitious talent. We innovate and scale our own brands. We heavily invest in AI and automation, setting us apart in the eCommerce space. We embrace fast testing and growth, empowering you to thrive in the same way. Become a part of a dynamic, diverse, and talented global team. Enjoy a 100% remote work environment, competitive salary in USD, generous paid time off, and more.Key ResponsibilitiesWe are in search of a creative and results-driven Growth Product Lead to design and implement value-driven experiences that engage customers consistently.As part of our Subscriptions Tribe, you will be pivotal in scaling initiatives like Shapermint Club, Autoship, ShaperBox, and Credits into sustainable, high-performing programs that enhance recurring revenue, increase order share, and maximize customer lifetime value.In your role as Product Lead – Subscriptions & Loyalty, you will collaborate closely with Product Manager Camila Rodríguez and the Subscriptions Tribe to execute initiatives aimed at strengthening customer retention, refining subscription funnels, and achieving measurable improvements in churn, repurchase rates, and LTV.Lead subscription growth experiments across various programs, transforming hypotheses into MVPs and pilot projects that yield quick wins.Analyze and enhance subscription journeys (onboarding, renewal, cancellation) to reduce friction and boost retention.Implement data-driven initiatives with defined KPIs (churn, RR45D, LTV uplift) and present insights via dashboards and reports.Engage daily with Product, Marketing, CX, BI, and Tech teams to synchronize roadmap priorities and manage dependencies effectively.Create innovative retention strategies and personalized flows based on customer feedback, cohort analysis, and behavioral insights.Enhance influencer/ambassador engagement by ensuring community-driven loyalty mechanics resonate with customer needs.Adopt agile methodologies (sprints, stand-ups, retrospectives) to maintain momentum within squads.

RevenueCat is revolutionizing the process of building and scaling in-app subscriptions, making it seamless for developers. Since our emergence from Y Combinator's S18 batch, we have established ourselves as the leading monetization platform for mobile applications. Our platform supports over 40% of newly launched subscription apps, processes an impressive annual purchase volume exceeding $10 billion, and empowers developers—from individual creators in Brazil to the OpenAI mobile team—to optimize and enhance their revenue streams.As a fully remote team of over 120 members spread across 25 countries, we are committed to our core values: Customer Obsession, Always Be Shipping, Own It, and Balance. If you are eager for your contributions to impact hundreds of millions of end-users and assist the developers who create for them, you will find a perfect fit with us.The RoleWe are in search of a proactive and product-focused Senior Data Scientist. This role is ideal for someone who does not wait for questions to be perfectly defined and who thrives in a collaborative environment. Your insights will help us understand customer challenges, identify new opportunities, and drive innovative ideas forward.You will collaborate closely with Product, Engineering, and Analytics teams to influence our development, rationale behind our projects, and our success metrics. Your contributions will directly enhance customer-facing features such as LTV prediction, experimentation and statistical significance testing, benchmarking, and the development of new data-driven products.Expect to bring forth ideas supported by robust analysis and clear hypotheses, steering product direction with your data expertise.Our data infrastructure encompasses a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS.What You Will DoActively analyze RevenueCat’s data to uncover customer issues, opportunities, and potential product innovations.Translate vague product and business inquiries into precise analyses, models, and actionable recommendations.Collaborate with Product Managers to define and influence roadmaps, rather than merely executing them.Design, develop, and deploy production-quality predictive and descriptive models that enhance customer-facing functionalities.Establish and assess statistical strategies for experimentation, benchmarking, and forecasting.Effectively communicate insights to both technical and non-technical stakeholders, focusing on customer impact.Continuously refine deployed models and features based on user feedback and real-world performance.This position entails substantial ownership. Your role will not just be about supporting decisions; you will actively shape the direction of our initiatives.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and promoting longevity. Our mission is to leverage the latest scientific innovations to empower individuals to take charge of their health and realize their full potential. The heart of our success lies in our people, who embody our core values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeAs a fully virtual organization from the start, Hone is committed to maintaining a remote-first work culture.Our Ideal CandidateWe seek a mission-driven and enthusiastic multitasker who is passionate about impactful and fulfilling work. Our ideal candidate embraces change and faces challenges with vigor, adopting an “all-in” approach to their responsibilities in our fast-paced, high-growth environment. They excel in both independent and collaborative tasks and lead with transparent communication. They embody humble leadership, driving initiatives forward while remaining dedicated to continuous learning and development. Most importantly, they are committed to being part of a team that advocates for improved longevity and quality of life for all.The RoleWe are searching for a Senior Data Scientist in Healthcare Operations to join our data science team. In this pivotal role, you will report to the Sr. Director of Data, Analytics, and Machine Learning, focusing on the application of data science and AI to enhance clinical outcomes and boost physician productivity across Hone’s virtual care platform.You will collaborate closely with clinical leadership, product, and engineering teams to design, develop, and assess models and AI-driven workflows that facilitate care delivery, minimize operational challenges, and empower clinicians to utilize their skills fully. As a senior individual contributor, you will be responsible for executing and delivering high-impact, well-defined projects. This position is perfect for someone who thrives at the intersection of healthcare, data science, and applied AI, eager to make a tangible impact on patient care.

Join Binance, a pioneering force in the global blockchain ecosystem, as an LLM Data Scientist and Algorithm Engineer. In this dynamic role, you will leverage innovative artificial intelligence solutions to develop and refine Large Language Models (LLMs). Your expertise will drive actionable insights, enhance business decision-making processes, and optimize prompt design for superior output accuracy. Additionally, you will create scalable and robust LLM/RAG frameworks tailored for customer service scheduling, fostering innovation and ensuring our competitive edge in the market. Embrace the opportunity to work 100% remotely, contributing to a mission focused on enhancing financial access worldwide.

Hiring Manager: Nick Churcher – VP Marketing Why This Role Is CrucialWe are excited to invite applications for the position of Founding Partnerships Lead, a key role dedicated to establishing Scribe's partnerships function from the ground up.This position aims to address a fundamental question: how can partnerships drive sustainable and repeatable growth for Scribe?You will be responsible for crafting the initial partnership strategy, personally securing the first partners, and validating effective methods through real customer interactions. In the initial stages, this role will be very hands-on; you will lead partner discussions, shape commercial agreements, conduct pilot programs, and transform insights into scalable initiatives.This is not a position for someone looking to manage an established channel; it's ideal for an individual eager to innovate, experiment, and take ownership of partnership outcomes. Role OverviewAs our Founding Partnerships Lead, your responsibilities will include:Establishing the partnerships function from scratch, which includes defining strategic priorities, developing core operational workflows, and determining how partnerships are sourced, tracked, enabled, and evaluated.Identifying, pitching, negotiating, and securing the initial cohort of partners, managing relationships from the initial conversation to the achievement of first customer outcomes.Crafting partner offerings and commercial frameworks that resonate with how partners market and deliver services, while ensuring long-term economic viability.Conducting time-limited pilot programs with partners to demonstrate value through authentic customer engagements, and subsequently converting successful strategies into clear, repeatable playbooks.Monitoring partner performance across metrics such as pipeline generation, revenue, product activation, and expansion, and utilizing these insights to inform scalability strategies.Collaborating closely with Sales, Marketing, Product, Legal, and RevOps teams to eliminate obstacles and deploy effective partnership strategies. Work LocationAlthough we are a globally distributed team, this position requires you to be permanently located in the United States, with a strong preference for San Francisco. Ideal Candidate ProfileYou have a proven track record of building partnerships from the ground up, demonstrating a desire to create something impactful.You possess a strong commercial acumen and are capable of owning partnerships end-to-end.

Hello,We are excited to present a fantastic opportunity for a GenAI Engineer within the dynamic field of AI and Machine Learning. This role is fully remote, allowing you to work from anywhere, and is a perfect fit for someone with extensive experience in developing prototypes and proofs of concept.Position OverviewAs a GenAI Engineer, you will leverage your deep understanding of AI and machine learning principles to create innovative solutions. Your expertise in Python and familiarity with tools such as Hugging Face, Langchain, and OpenAI API will be essential in driving project success.Key Responsibilities:Develop prototypes, PoCs, and MVPs using advanced AI/ML methodologies.Utilize deep learning frameworks including TensorFlow, Keras, and PyTorch to implement solutions.Engage with cloud platforms such as Google Model Garden, Amazon Bedrock, and Nvidia Nim to enhance project outcomes.Work collaboratively in a fast-paced environment, bringing innovative solutions to complex problems.Ideal Candidate:The successful candidate will possess a strong foundation in AI and machine learning, coupled with a passion for problem-solving and a collaborative mindset.

Join hophr, an innovative AI-driven recruiting operations platform, as we revolutionize the hiring process with autonomous agents that enhance decision-making through governance, auditability, and continuous adaptation to user preferences.We are seeking our first Growth Marketing Lead to spearhead our go-to-market strategy from the ground up. This pivotal role will encompass validating our positioning, conducting paid experiments, optimizing funnel mechanics, creating customer-proof systems, and delivering insightful performance reports. As there is no existing marketing or RevOps function, you will have the unique opportunity to construct the growth engine from scratch.This is a hands-on, experiment-focused position ideal for a dynamic individual who thrives in ambiguous environments and is eager to implement rapid solutions.We welcome applications from candidates located in the United States, Canada, United Kingdom, Australia, New Zealand, and Ireland. Proficiency in English at the C2 level is required.

Join Binance, the premier global blockchain ecosystem and cryptocurrency infrastructure leader. Our comprehensive suite of financial offerings includes the world’s largest digital asset exchange.We are driven by our mission to expedite cryptocurrency adoption and enhance financial freedom for everyone.If you thrive in a dynamic, purpose-driven environment that offers limitless opportunities for growth and innovation, Binance is your ideal destination.

At Assured, we are revolutionizing the insurance industry by modernizing the way claims are processed. Our mission is to eliminate outdated manual processes that currently involve tedious phone calls and faxes, which cost the industry tens of billions of dollars annually. We believe we can do better.Our cutting-edge software solutions empower large insurers to thrive in an increasingly technology-driven landscape. From user-friendly self-service claim-filing tools to sophisticated backend fraud detection systems, we are the backbone of claims processing for some of the world’s largest insurance providers.The challenges we tackle are both deep and varied, ranging from designing digital experiences that offer comfort and clarity to claimants during their most vulnerable moments to implementing large-scale, machine-learning-driven decision-making for billions of dollars in claims payments. At Assured, you will find a dynamic, collaborative, and fulfilling work environment.In this pivotal role of Product Lead, Data & Integrations, you will drive the strategy, execution, and evolution of our customer integrations, API ecosystem, and data exchange capabilities. This position sits at the crossroads of product development, engineering, and customer relations, requiring you to define how Assured connects with external systems, facilitates data flow, and scales to meet the needs of enterprise customers.

AI Trainer – Computer ScientistAbout ProlificAt Prolific, we are not just another AI company; we are on a mission to create the world's largest repository of high-quality human data.With over 35,000 AI developers, researchers, and organizations leveraging Prolific to gather data from diverse paid study participants, we are at the forefront of innovation.The RoleWe are seeking individuals with a strong background in Computer Science to join us as self-employed AI Trainers. In this role, you will assist in training and evaluating cutting-edge AI models developed by some of the leading AI laboratories globally. If you possess the necessary expertise, we will provide a brief 10- to 15-minute assessment to evaluate your skills for AI tasks. Successful candidates will be invited to participate as Domain Experts, where you will be compensated for training and evaluating powerful AI models.Researchers seeking your expertise typically offer compensation up to £50/hr, depending on task length. Candidates must be willing to complete paid tasks that require a minimum of one hour of focused work, though many tasks are shorter.Key ResponsibilitiesAs an AI Trainer, you will: - Perform AI training tasks, including analyzing, editing, and creating content related to computer science. - Assess AI performance on programming tasks, algorithms, data structures, and systems prompts. - Enhance advanced AI models utilizing your software engineering knowledge and computational thinking.

AI Trainer – Research ScientistsAbout ProlificAt Prolific, we are not just another entity in the AI landscape; we are dedicated to creating the largest and most reliable pool of quality human data globally.Over 35,000 AI developers, researchers, and organizations leverage Prolific to acquire data from compensated study participants with diverse experiences, expertise, and skills.The RoleWe are seeking individuals with a background as Research Scientists to join us as freelance AI Trainers. In this role, you will assist in training and evaluating state-of-the-art AI models developed by some of the world’s leading AI laboratories. Candidates with the requisite experience will be invited to undertake a brief 10- to 15-minute assessment to evaluate your skills and compatibility with AI tasks. If successful, you will be welcomed as a Domain Expert participant at Prolific, where you will be compensated for your contributions to training and assessing advanced AI models.Researchers seeking your expertise typically offer compensation of up to £50/hour, depending on the duration and complexity of tasks available. Candidates must be prepared to engage in paid tasks that require a full hour of uninterrupted work, although many tasks are shorter in nature.Responsibilities1. Conduct AI training tasks including analyzing, editing, and composing research-oriented content.2. Evaluate AI performance based on research design, methodology, and scientific reasoning prompts.3. Enhance cutting-edge AI models using your research and experimentation expertise.What You’ll Bring

Join rwazi as a Decision Research Scientist, where your expertise will drive innovative research and analysis to support critical decision-making processes. In this fully remote role, you will collaborate with a diverse team of professionals to develop and implement advanced analytical models and methodologies.

Join Canonical as a Senior Growth EngineerAt Canonical, we have been empowering developers with cutting-edge open-source solutions since 2004, facilitating innovations across public cloud, machine learning, robotics, and blockchain. As part of our marketing team, you'll be at the forefront of technology adoption, driving our marketing strategies and enhancing our martech stack. We seek a seasoned Senior Growth Engineer to take charge of our marketing technology infrastructure, data architecture, and growth initiatives.In this pivotal role, you will design and scale systems that power automation, lifecycle marketing, and data-driven strategies. We want a candidate who is not just skilled in technology and data, but is also enthusiastic about leveraging these tools for impactful marketing. If you enjoy solving complex challenges, utilizing state-of-the-art tools, and architecting automated systems for a global enterprise, we want to hear from you!This position is integrated within the Marketing team and reports directly to the Growth Engineering Manager.Location: This role is offered as a remote position within the EMEA region.