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1691021621180

Backend Engineer - Enterprise Agent

X AI
USD
180000
-
440000
US.svg
United States
Full-time
Remote
false
About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our research team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerised applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Hands-on experience with LLM APIs, embeddings, or RAG patterns Track record of delivering user-facing software at scale. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. Benefits Competitive cash-based compensation xAI equity Private health and dental insurance Unlimited time off subject to prior approval Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice
Software Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
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1691021621180

Frontend Engineer - Enterprise Agent

X AI
USD
180000
-
440000
US.svg
United States
Full-time
Remote
false
About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our research team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the Role An ideal candidate meets the following requirements: Expert knowledge of TypeScript and React, Expert knowledge of Tailwind, Expert knowledge of best practices regarding performance, accessibility, and frontend security. Additionally, any of the following qualifications may help a candidate stand out: Experience in advanced web technologies such as WebGL, WebSockets, WebAssembly, web workers, and PWAs, Experience in UI and UX design, Experience in implementing sophisticated CSS animations Experience with Kubernetes Track record of delivering user-facing software at scale. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in TypeScript: Write a small app in React HTML/CSS interview: Given a screenshot of a UI, implement it Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice
Software Engineer
Software Engineering
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n8n_logo

Senior AI Engineer | TypeScript / NodeJS

N8n
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GE.svg
Germany
Full-time
Remote
false
n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 100 talented people 🚀 Our annual recurring revenue is growing 6x year-over-year ⭐️ With +100k GitHub stars, we are in the top 100 most popular projects of all time on Github 🍾 We’re Europe’s 25th fastest growing startup in 2024 according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations. You'll build AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive.You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience. You'll improve existing AI integrations, develop new ones, and shape how AI powers our product.You’ll work across the entire AI feature lifecycle:Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimizationIntegrate LLM APIs and embedding models for text-to-workflow and natural language code suggestionsDesign and iterate on prompts to improve model output and user experienceBuild internal tooling, evaluation benchmarks, and automated testing for AI componentsCollaborate closely with other engineers to ensure AI features are reliable, performant, and scalableBalance experimentation with impact: ship quickly while focusing on user valueStay current with advances in LLMs, prompt frameworks, and developer tools - and bring those insights into our roadmapRequirementsStrong backend development skills with TypeScript, Node.js, and API design5+ years of experience building web-based products, ideally in B2B SaaS startupsProven track record shipping AI-powered features in production with LLM APIs (OpenAI, Anthropic, etc.) and understanding of how to translate machine intelligence into user valueHands-on experience with prompt engineering, embedding models, and vector storesA user-focused mindset: you care about delivering features that solve real problemsA bias for shipping and learning - fast iteration is second nature to youBonus Points ForExperience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systemsFrontend experience using Vue or ReactTechnical writing or documentation contributions, especially around developer tools or AIn8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
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1746214613863

Lead Data Scientist

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Contractor
Remote
true
RyzLabs is seeking a highly skilled and experienced Lead Data Scientist to join our growing analytics team. The ideal candidate will possess a deep understanding of statistical modeling, machine learning, and data engineering, with a proven track record of applying these skills to solve complex business problems, particularly within the e-commerce domain. This role requires a leader who can not only build sophisticated models but also mentor junior team members and translate technical insights into actionable strategies for business stakeholders.  Key Responsibilities  - Lead the design, development, and deployment of advanced predictive models, machine learning algorithms, and data-driven solutions to optimize various aspects of our e-commerce operations (e.g., personalization, recommendation engines, pricing, inventory management, fraud detection, customer lifetime value). - Collaborate with product, engineering, and business teams to identify opportunities for data science applications and dene project scopes.- Perform in-depth exploratory data analysis to uncover trends, paerns, and insights from large, complex datasets across a wide assortment of products. - Develop and maintain robust data pipelines and ensure data quality and integrity for modeling initiatives. - Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences. - Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation within the team.- Stay abreast of the latest advancements in data science, machine learning, and e-commerce trends, and evaluate their applicability to our business.  Qualifications Must-Haves Education: Master's or Ph.D. in a quantitative eld such as Statistics, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related discipline.  Experience: - Minimum of 6+ years of progressive experience in data science, with at least 3 years specically focused on e-commerce, retail, or a similar high-volume consumer-facing industry. Demonstrated experience in building and deploying data science models across a large and diverse assortment of products. Proven leadership experience, including leading projects and mentoring junior team members. Technical Prociency: - Expert-level prociency in Python, including libraries essential for data science (e.g., scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, SciPy). ○ Strong command of SQL for data extraction and manipulation from various databases. - Extensive experience with machine learning techniques (e.g., supervised, unsupervised, reinforcement learning), statistical modeling, hypothesis testing, and experimental design (A/B testing). Analytical Skills - Exceptional problem-solving abilities, with a strong analytical mindset and aention to detail. Ability to translate business problems into quantitative questions and actionable solutions.  Nice-to-Haves - Experience with Marketing Mix Modeling (MMM) or Multi-Touch Aribution (MTA) models for marketing aribution. Experience with big data technologies (e.g., Spark, Hadoop, Flink). - Familiarity with cloud plaorms (e.g., AWS, GCP, Azure) and their data science services. Experience with notebook visualization tools (Hex, Deepnote, Jupyter Notebooks, etc.). Knowledge of causal inference methods. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Data Scientist
Data Science & Analytics
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thoughtfulautomation_logo

Sr. Software Engineer, Full Stack

Thoughtful
USD
170000
-
220000
US.svg
United States
Full-time
Remote
true
Join Our Mission to Revolutionize Healthcare Thoughtful is pioneering a new approach to automation for all healthcare providers! Our AI-powered Revenue Cycle Automation platform enables the healthcare industry to automate and improve its core business operations. We're looking for an Exceptional Full Stack Engineer for our Core Platform Engineering team. As a Sr. Engineer, you’ll be a technical anchor across the stack - shaping everything from scalable backend services to responsive, intuitive frontends. You’ll lead by example, building systems that are reliable, maintainable, and thoughtfully engineered for scale - avoiding premature complexity while leaving room for growth. Your work will directly support both internal teams and customer-facing products. Learn more about our Warrior culture. Join us to transform how leading healthcare companies operate. Your Role: Lead End-to-End Builds Own projects across the full development lifecycle - from greenfield prototypes to scaling out mature systems. You’ll take loosely defined problems and return well-architected, production-ready solutions. Design for Clarity and Change Build backend services and user interfaces that are modular, testable, and ready to evolve. You prioritize simplicity, knowing where abstraction helps - and where it just adds noise. Drive Pragmatic Scalability Design for growth without overengineering. You’ll apply best practices in schema design, API modeling, and state management with a clear sense of tradeoffs and long-term maintainability. Collaborate Closely Partner with product, design, and other stakeholders to understand real-world needs and shape the right technical solutions. You'll operate autonomously but never in isolation. Continuously Level Up Bring curiosity and humility. We’re a senior team that shares learnings freely and pushes each other to do our best work. Your Qualifications: Frontend Deep experience building complex, interactive UIs using React, Vue, or Angular. Strong grasp of state management patterns and reactive paradigms (e.g. refs, signals, RxJS, or similar). Proficiency in TypeScript and JavaScript, with clean, maintainable component architecture. Familiarity with frontend performance profiling, accessibility, and design system integration. Comfortable working with designers and PMs to turn wireframes and mockups into polished interfaces. Backend Proficiency in Python and TypeScript, with experience across modern backend frameworks (e.g. FastAPI, Next.js, Express). Skilled in API design, including versioning, pagination, and error modeling. Solid understanding of authentication and authorization protocols (OAuth, JWT, etc.). Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases, including schema design, indexing strategies, and performance tuning. Familiarity with AWS and infrastructure concepts like CI/CD pipelines, containerization, and cloud deployments. Invested in setting up logging, monitoring, and alerting from day one. Builds with testability in mind - unit tests, integration tests, and end-to-end test frameworks. What Sets You Apart: You know how to ship fast without creating tech debt landmines. You balance product intuition with a strong technical foundation. You default to clarity and modularity, especially when designing for unknowns. You’ve worked at early-stage startups or launched new systems from scratch. You value peer collaboration and open sharing of technical learnings. You care just as much about why you're building something as how you build it.   Why Thoughtful? Competitive compensation Equity participation: Employee Stock Options. Health benefits: Comprehensive medical, dental, and vision insurance. Time off: Generous leave policies and paid company holidays. Required Technical Exercise - submissions without this component will not be considered: Please spend no more than 20 minutes completing a quick coding exercise by following the instructions here.  California Salary Range $170,000—$220,000 USD
Software Engineer
Software Engineering
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abridgehq_logo

Partner Success Director, Key Accounts (Location: Pittsburgh)

Abridge
USD
0
135400
-
159300
US.svg
United States
Full-time
Remote
false
About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleAs a Partner Success Director at Abridge, you will play a vital role in ensuring the satisfaction, adoption, and expansion of our solutions within our customers. You will be a core member of the commercial team and work closely with clinicians, administrators, and key stakeholders to understand their needs, provide ongoing support and guidance, and drive the successful utilization and expansion of our products and services. What You'll DoClinician Success:Build and maintain strong relationships with clinicians and healthcare professionals across enterprise customers.Act as a trusted advisor to clinicians, offering guidance and best practices to enhance their productivity, efficiency, and patient outcomes.Understand user workflows, pain points, and objectives to align our solutions with their needs.Provide product training and onboarding support to clinicians, ensuring a smooth transition and optimal utilization of our solutions.Proactively identify and address any issues or concerns raised by clinicians, collaborating with internal teams to provide timely resolutions.Monitor and track clinician satisfaction and adoption rates, proactively identifying opportunities for improvement and driving engagement initiatives.Customer Expansion:Collaborate with the sales team to identify expansion opportunities with existing customers, outlining goals, milestones, and action plans.Conduct regular business reviews with key stakeholders to assess product performance, user feedback, and identify opportunities for additional value-add solutions.Present new features, upgrades, and solutions to clients, highlighting their potential benefits and ROI.Track customer expansion metrics and contribute to revenue growth targets.Partner Success Advocacy:Support all clinician users and serve as the voice of the customer internally, sharing insights, feedback, and success stories to drive product and service improvements.Collaborate with cross-functional teams, including sales, marketing, and product, to deliver a seamless customer experience.Contribute to the development of partner success resources, such as knowledge bases, training materials, and partner success stories.What You'll BringProven experience as a Customer/Partner Success Director or Customer Success/Partner Manager5+ years of experience working in or with enterprise health systemsStrong understanding of the healthcare ecosystem, including the dynamics and challenges faced by large health enterprises and clinicians.Excellent communication and interpersonal skills, with the ability to build trust and establish rapport with clinicians and stakeholders at all levels.Technical aptitude and ability to quickly understand and effectively communicate complex software solutions.Strong problem-solving skills, with a proactive and results-oriented mindset.Ability to multitask and manage multiple client relationships simultaneously.Familiarity with CRM software and customer success tools is a plus.Strong organizational and project management capabilities.***This role requires up to 20% travel******This role must be based in New York City***We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 
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finalroundai_logo

产品经理Product Manager

Final Round AI
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CN.svg
China
Full-time
Remote
true
【岗位描述】 通过策略迭代、产品设计,与协作部门紧密合作,共同推动产品及AI模型的迭代,持续提升AI面试助手和模拟面试、AI简历、其他AI协助求职工具的体验; 通过对用户行为的分析,基于数据和用户实际使用情况,深入挖掘用户需求,把握用户痛点,优化用户的使用体验; 跟进数据指标,参与建立数据反馈机制,构建数据和产品的联动闭环; 参与到企业/行业/职位等领域的知识图谱建设,用户画像关键词、标签体系、提示词的建设和优化与AI策略自动化。 【岗位要求】 本科及以上学历,2年以上互联网产品经验,熟练使用各种AI工具、AB test、sql等工具者优先; 有产品 owner 意识,有主见,有创新意识,自驱力强,结果导向,追求极致; 同理心强,对用户行为观察细致、敏锐,在求职上有花钱找过辅助者优先; 4、英语能力四级以上;英语六级或雅思6.5以上或留学海外/海外生活经验者优先; 5、有海外产品工作或海外生活经验者优先; 6、熟练使用各种AI工具,或参与过AI产品,构建过AI应用者优先; 硅谷明星创业公司,产品增长十分迅速,base上海
Product Manager
Product & Operations
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UI Designer 高级UI设计师

Final Round AI
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CN.svg
China
Full-time
Remote
true
岗位职责UI&UX设计:负责面试助手等AI工具产品设计,市场推广页面设计等品牌及营销设计:营销物料设计,品牌视觉设计等;;配合产品经理和开发,协助需求梳理,推进设计稿落地;使用V0、loveable、Figma等工具,通过AI能力,让设计稿快速落地成为前端页面 岗位要求硬性条件:本科及以上学历,2年+ UI/UX经验,有AI/B端工具成功案例(作品集必备);精通AI设计工具链(Figma AI等),掌握动效设计;理解LLM/RAG等AI基础逻辑及熟练使用如GPT、V0等AI工具。2.加分项:英语流利,六级或雅思6.5以上;效率量化能力(例:AI工具节省60%创意时间)。有海外产品工作或海外生活经验者优先; 熟练使用各种AI工具,或参与过AI产品,构建过AI应用者优先;
Product Designer
Creative & Design
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appier_logo

Senior Software Engineer, Backend Development(Ad Cloud)

Appier
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TW.svg
Taiwan
Full-time
Remote
false
About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About Ad Cloud  Serving Services Team At Appier's Ad Cloud Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, ensuring the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation. Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integration. Champion code quality through rigorous code reviews and adherence to best practices in system design and implementation. Mentor and guide junior engineers, fostering their growth in backend development best practices, distributed systems, and agile methodologies. Actively participate in on-call rotation within the Backend team to maintain product reliability and scalability for critical serving services. Contribute to a culture of continuous improvement, initiating team-level technical discussions, process enhancements, and knowledge sharing. About You [Minimum Qualifications] 3-5+ years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems. Proficient in one or more of the following languages: Go, Python. Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment. Good understanding of Network API Design (e.g., RESTful APIs, gRPC) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines. Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies. Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Experience with observability tools (e.g., Prometheus, Grafana) and implementing robust monitoring and alerting. Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting. [Preferred Qualifications] BS/MS degree in Computer Science or a related field. Demonstrated ability to refactor complex systems, improve performance metrics (e.g., latency, error rate, CPU usage), and optimize resource utilization. Familiarity with A/B testing frameworks and supporting customizable configurations for model iteration. Hands-on experience with deploying and serving machine learning models in production environments. Exposure to ad-tech or recommendation systems is a plus. #LI-SW1
Software Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
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1746214613863

Nuclear Engineering - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Contractor
Remote
true
We are seeking experienced Nuclear Engineers and domain experts to collaborate with top-tier AI research labs to help build the next generation of intelligent systems. Your deep technical expertise in Nuclear Engineering will play a crucial role in shaping how advanced AI models understand, reason about, and interact with complex systems within the nuclear domain. Qualifications:- 5+ years of experience in nuclear engineering, power generation, or similar fields.- Hold a Ph.D. in Nuclear Engineering or a related field from a top U.S. university.- Possess a strong understanding of nuclear systems design, reactor physics, and related frameworks.- Exhibit strong attention to detail.- Demonstrate strong verbal and written communication skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Vibe Coding
Software Engineering
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Investment Banking - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Part-time
Remote
true
We are looking for Investment Banking professionals to join an exciting collaboration with a top AI research . This role involves contributing to the development and evaluation of advanced AI systems designed to mimic real-world investment banking workflows. You'll help train, test, and calibrate AI agents on complex financial tasks related to M&A, IPOs, debt offerings, equity research, and pitchbook development. Key Responsibilities:- Evaluate financial outputs produced by AI systems for quality and accuracy.- Calibrate AI decision-making processes in areas such as valuation or financial modeling.- Simulate and audit workflows related to pitch decks, comps analysis, and due diligence.- Provide domain-specific feedback on AI-generated investment documents.-Collaborate asynchronously with product and AI teams to enhance system performance. Ideal Qualifications:- 2+ years of experience in Investment Banking, ideally at top-tier firms such as Goldman Sachs, JPMorgan, or -similar institutions.- Bachelor’s degree in Finance, Economics, Accounting, Business Administration, or a related field.- Strong proficiency in financial modeling, including DCF/LBO/Comps analysis, and valuation methods.- Familiarity with capital markets, M&A deal cycles, and transaction processes.- Excellent analytical, writing, and presentation skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Machine Learning Engineer
Data Science & Analytics
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Staff Software Engineer - AI Platform

Evenup
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US.svg
United States
CA.svg
Canada
Full-time
Remote
false
EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.Our AI Platform team is looking for backend-focused Software Engineers who will join us in our mission to make LLMs more accessible and mainstream to the rest of our engineering teams. The team has already built and released some of the best legal industry large language models that extract and summarize data from documents our clients provide. This person will join a multi-disciplinary team of Data Scientists, Researchers and Software Engineers whose day-to-day work lies at the intersection of programming, LLM integration, and iterative experimentation. This is a great opportunity for someone looking to take on complex engineering challenges in the field of generative AI and leverage the power of technology to bring fairness and accessibility to the legal system. This is a hybrid role with 3 days per week spent collaborating with the team in the office. We are open to applicants located in either the San Francisco Bay Area or the Greater Toronto Area. What you will do: Deliver high-quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch) while introducing and evaluating new tools and technologies as appropriate.Lead the architecture, design, and delivery of resilient, scalable systems and infrastructure that power production-grade applications including those based on large language models.Set technical direction for complex projects with significant ambiguity, owning outcomes end-to-end from inception to deployment and iterative improvement.Act as a force multiplier—mentoring engineers, setting engineering best practices, and elevating the technical bar across the organization.Partner cross-functionally with Product, ML, and Infrastructure teams to translate abstract or high-level product needs into robust engineering solutions.Influence platform and infrastructure roadmaps with a long-term view of scalability, maintainability, and developer velocity. What we're looking for: 10+ years of software engineering experience, including at least 2 years in a Staff or equivalent senior technical leadership role.Deep expertise in building and scaling distributed systems, frameworks, and internal platforms with a focus on reliability, observability, and performance.Proven experience in driving complex technical initiatives across teams or domains, with strong system design skills and clear tradeoff thinking.High standards for code quality, system design, and software architecture—along with a track record of mentoring others to meet those standards.Strong proficiency in Python and/or experience in additional languages such as NodeJS, GoLang, Java or C++.Clear, structured communication and the ability to influence stakeholders across engineering and product functions.Experience working in fast-paced, high-growth environments—ideally in startups or early-stage companies.Bonus experience: Experience in AI/ML systems, legal tech, or mission-driven, social impact-oriented engineering work.Prior work with LLM-powered systems, AI platforms, or developer enablement tooling in ML-heavy environments. Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks:Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco and TorontoPlease note the above benefits & perks are for full-time employees About EvenUp:EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Software Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
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1746214613863

Astrophysics Expert - AI Trainer

Ryz Labs
-
US.svg
United States
AR.svg
Argentina
Contractor
Remote
true
We are seeking Ph.D.-level astrophysicists to collaborate with AI researchs and contribute to the development of next-generation intelligent systems. This role offers the chance to apply your expertise in fields such as cosmology, stellar physics, exoplanets, plasma dynamics, or computational astrophysics to train advanced AI models capable of reasoning through complex scientific phenomena. You'll work alongside AI teams to teach models how astrophysicists analyze data, build theories, interpret observations, and explain cosmic-scale systems, enhancing AI’s ability to support science education, discovery, and simulation. Qualifications:- +5 years of research and academic experience in fields such as stellar physics, planetary science, cosmology, gravitational lensing, etc.- Hold a Ph.D. in Astrophysics, Astronomy, or a related field - Possess strong verbal and written communication skills.- Exhibit strong attention to detail. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Research Scientist
Product & Operations
Machine Learning Engineer
Data Science & Analytics
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Architectural Engineering - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Contractor
Remote
true
We are seeking experienced Architectural Engineers to collaborate with AI research. In this role, you will leverage your expertise in building systems, construction engineering, energy modeling, and structural integration to train advanced AI models, helping them reason like true experts in architecture-engineering collaboration. You will work closely with AI teams to ensure models can accurately evaluate, design, and coordinate real-world building systems, adhering to industry standards. Qualifications:- +5 years of experience in design, construction, or building systems engineering.- Hold a degree in Architectural Engineering, Building Science, or a related discipline.- Are proficient with tools such as AutoCAD MEP, Revit/BIM 360, etc.- Possess strong verbal and written communication skills.- Exhibit strong attention to detail. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Machine Learning Engineer
Data Science & Analytics
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Drug Discovery - AI Trainer

Ryz Labs
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US.svg
United States
AR.svg
Argentina
Part-time
Remote
true
We are seeking experts in drug discovery to contribute to the development of intelligent systems capable of navigating the complexities of pharmaceutical R&D. This role offers the opportunity to apply your expertise in medicinal chemistry, molecular biology, pharmacology, or computational modeling to shape how AI supports scientific innovation in healthcare. You will work closely with AI teams to train models on drug development workflows, covering stages from target validation and compound screening to lead optimization, ADME/Tox prediction, and regulatory insight. Qualifications:- +5 years of experience in pharmaceutical R&D, biotechnology, or academic drug discovery.- Hold a PhD in Medicinal Chemistry, Pharmacology, Biochemistry, Molecular Biology, or a related field - Possess strong working knowledge of tools and methodologies such as QSAR Analysis, Molecular Docking, Hit Identification, SBDD, LBDD, etc.- Have excellent written and verbal communication skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Machine Learning Engineer
Data Science & Analytics
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Air Transportation Systems - AI Trainer

Ryz Labs
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AR.svg
Argentina
US.svg
United States
Contractor
Remote
true
We are seeking experienced air transportation systems experts to collaborate directly with world-class AI research labs and contribute to developing the next generation of intelligent models. Your expertise in aerospace systems, airport infrastructure, or air traffic engineering will be crucial in shaping how AI understands and interacts with complex, real-world aviation environments. Qualifications:- +5 years of experience in aviation, aerospace, or air traffic systems engineering.- Hold a bachelor's degree in Aerospace Engineering, Transportation Engineering, or a related field - Are familiar with engineering tools and modeling platforms.- Possess strong verbal and written communication skills.- Exhibit strong attention to detail. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Vibe Coding
Software Engineering
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1746214613863

Nuclear Engineering - AI Trainer

Ryz Labs
-
US.svg
United States
AR.svg
Argentina
Contractor
Remote
true
Ryz Labs is seeking experienced Nuclear Engineers to collaborate with top-tier AI research labs in developing the next generation of intelligent systems. By leveraging your technical expertise in Nuclear Engineering, you will influence how advanced AI models understand, reason about, and interact with complex systems in the nuclear domain. Qualifications:- +5 years of experience in nuclear engineering, power generation, or similar fields.- Hold a PhD in Nuclear Engineering or a related field from a top U.S. university.- Possess a strong understanding of nuclear systems design, reactor physics, and related frameworks.- Exhibit strong attention to detail.- Have excellent verbal and written communication skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Vibe Coding
Software Engineering
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Manufacturing Experts - AI Trainer

Ryz Labs
-
No items found.
Part-time
Remote
true
We are seeking Manufacturing Experts - AI Trainer to collaborate with one of our clients and contribute to the development of the next generation of intelligent systems. By leveraging your extensive industrial and process knowledge, you will play a pivotal role in shaping AI models to better understand, reason about, and engage with real-world manufacturing environments. Qualifications:- +5 years of experience as a manufacturing professional in areas such as production, operations, quality, and process engineering.- Hold an undergraduate degree in Mechanical, Electrical, Industrial Engineering, or a related field from a top U.S. university.- Possess knowledge of tools, methodologies, and standards such as ERP, MES, PLM, and ISO.- Exhibit strong attention to detail.- Having excellent verbal and written communication skills. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Machine Learning Engineer
Data Science & Analytics
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Voice Expert - AI Trainer

Ryz Labs
-
AR.svg
Argentina
Part-time
Remote
true
Join our customer's team as a Voice Expert - AI Trainer, where your specialized knowledge in voice production, speech coaching, or voiceover artistry will be instrumental in shaping the future of AI voice technology. In this dynamic role, your acute listening skills and extensive voice-related vocabulary will be key as you provide invaluable training and feedback, significantly enhancing AI-generated voice output. Key Responsibilities:- Analyze and evaluate AI-generated voice samples for accuracy, naturalness, and expressiveness.- Provide detailed verbal and written feedback using industry terminology to describe nuances in vocal performance.- Collaborate with AI engineers and linguists to refine voice algorithms and enhance model performance.- Develop comprehensive evaluation criteria for voice characteristics such as tone, pitch, pacing, and clarity.- Coach and instruct AI systems on a wide range of vocal styles, emotional deliveries, and accents.- Document findings, track improvements, and suggest actionable insights for ongoing model training.- Participate in regular virtual meetings to align project goals and share expertise. Qualifications:- Demonstrated expertise as a voice producer, speech coach, or professional voiceover artist.- Exceptional written and verbal communication skills with an emphasis on clarity and precision.- Advanced ability to discern and articulate subtle differences in vocal expression.- Experience instructing or coaching others in vocal performance or technique.- Strong attention to detail and a commitment to producing high-quality deliverables.- Comfort working independently in a remote, part-time capacity.- Sound understanding of audio production principles and voice recording technology. Preferred Qualifications:- Previous experience collaborating on AI or machine learning projects.- Familiarity with phonetics, linguistics, or a relevant academic background.- Track record of delivering constructive critique in creative or technical environments. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
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Data Infrastructure Engineer

HeyGen
-
US.svg
United States
CA.svg
Canada
Full-time
Remote
false
About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com.  Visit our Mission and Culture doc here. Position Summary: At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV, Photo Avatar, Instant Avatar, Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success.   Key Responsibilities: Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include Large scale data acquisition Multi-modal data processing framework and applications Storage and computation efficiency AI model evaluation and productionization infrastructure Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions. Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement. Assist in budget planning and management of cloud resources and other infrastructure expenses. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Proven experience in managing infrastructure for large-scale AI or machine learning projects Excellent problem-solving skills and the ability to work independently or as part of a team. Proficiency in Python Experience optimizing computational workflows Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch. Preferred Qualifications: Experience with GPU computing Experience with distributed data processing system Experience building large scale batch inference system Prior experience in a startup or fast-paced tech environment. What HeyGen Offers Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and advancement. Collaborative culture that values innovation and creativity. Access to the latest technologies and tools.   HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Data Engineer
Data Science & Analytics
MLOps / DevOps Engineer
Data Science & Analytics
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