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This role is remote and can be executed globally. However, to facilitate working with the team, we prefer candidates based in EU timezones.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is scaling rapidly but we are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerLearning & development: Annual discretionary stipend towards professional development.Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.About the roleWe are looking for someone who will help shape the future of AI voices by creating, evaluating, and curating cloned voices for our global library. You’ll work at the intersection of creativity and technology, ensuring every voice meets the highest standards of quality, diversity, and realism. The challenge: turning raw audio data and AI outputs into expressive voices that people actually want to use.Ideal archetype: a creative ear with technical rigor — someone who lives in sound, loves experimenting with voice, and knows how to judge what feels authentic.Curate a growing library of voices across languages, accents, and stylesEvaluate AI-generated voices for naturalness, expressiveness, and usabilityMix and match recordings to push the boundaries of what’s possible with cloned voicesBalance creative instincts with consistent quality standardsRequirementsSkilled in working with audio — creation, editing, or evaluationAbility to judge subtle differences in tone, clarity, and accentOrganized, comfortable curating at scale: building structured collections, not just one-offsBonus:EU time zone for collaboration is a plusMusic, dubbing, or sound design backgroundMultilingual ear for accents and natural speechExperience working with creative agencies or voice talent

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TL;DR - We’re seeking exceptional Design Engineers to help build the future of AI. You’ll work closely with both design and engineering to build world-class interfaces that empower the next generation of creators and builders.Why Lovable?Lovable lets anyone build software with plain English. Solopreneurs to Fortune 100 teams use Lovable to transform raw ideas into real products - fast. We’re at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, solve complex problems, and bring their dreams to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value high ownership, high velocity and low-ego collaboration. We seek people who care deeply, challenge us, and are driven to build something of lasting impact.What we’re looking for5+ years of years experience, shipping products users genuinely lovePortfolio demonstrating sophisticated interactions and thoughtful user affordances required (if you don’t have a portfolio - please check out our other roles!)Ability to make smart trade-offs between speed and polish, knowing when to ship and when to refineExpertise in React/TypeScript and the broader frontend ecosystemExperience translating scrappy explorations into production-ready experiencesStrong product sense with an eye for detail, accessibility, and usability What you’ll doIn one sentence: Own and scale the user-facing experience of Lovable products, turning powerful capabilities into intuitive, magical interfaces.Design and build world class product experiencesDrive front-end execution - pioneering new interaction patterns, micro-animations, and delightful details that elevate the entire experienceImplement features in React/TypeScript with obsessive attention to detailCollaborate with backend, ML, design, and product teams to bring complex features to life in a seamless wayExplore and iterate on visual designs with designers, translating explorations into scalable, web-native implementationsBuild and maintain reusable components that enhance consistency while enabling creativity across the product Our tech stackWe're building with tools that both humans and AI love:Frontend: React, TailwindBackend: Golang and RustCloud: Cloudflare, GCP, AWS, Many LLM providersDevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform)And always on the lookout for what's next!How we hireFill in a short form then jump on an intro call with our design team.Show us some of your work you’re really proud of.Show us how you approach problems during technical interviews.In some cases, we may opt to do paid, trial work.About your applicationPlease submit your application in English - it’s our company language so you’ll be speaking lots of it if you joinWe treat all candidates equally - if you’re interested please apply through our careers portal

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RYZ Labs is seeking a Head of Enterprise AI Sales to lead our sales efforts into medium and large enterprises across the U.S. This is a first-in-role hire: you will be the face of RYZ Labs' enterprise AI solutions, responsible for driving new business, closing complex deals, and laying the foundation for a scalable sales organization. You'll sell into non-tech sectors — including logistics, manufacturing, healthcare, and retail — where companies are eager to implement AI but need a partner to help them navigate adoption safely and effectively. This role is ideal for a proven enterprise hunter with the credibility to sell at the C-level, and the entrepreneurial drive to build from scratch. Key Responsibilities - Own the full sales cycle for medium-to-large enterprise accounts.- Drive pipeline creation and execute outbound strategies targeting priority sectors.- Navigate complex, multi-stakeholder organizations to close six- and seven-figure deals.- Lead discovery conversations to identify business challenges and AI opportunities.- Collaborate with RYZ Labs' technical teams to scope, position, and deliver tailored proposals.- Act as a thought leader and trusted advisor to C-level executives on AI adoption.- Represent RYZ Labs at events, conferences, and industry forums. Qualifications - 8+ years of enterprise sales experience, with a track record of closing $250k–$1M+ consultative deals.- Strong background in selling services/solutions into non-tech industries (e.g., healthcare, logistics, manufacturing, retail).- Ability to lead complex, multi-stakeholder sales cycles.- Comfort in ambiguity: thrives in early-stage environments and can build playbooks from scratch.- Entrepreneurial mindset with both hunter drive and executive presence.- U.S.-based, with flexibility for travel to client meetings and industry events. 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 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 most efficiently. - 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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Ryz Labs is seeking a Head of Sales to own the GTM strategy, execution, and revenue growth for our RLHF vertical. Based in San Francisco, this leader will be responsible for building and managing the sales function, driving new customer acquisition, and establishing RYZ Labs as the go-to partner for RLHF-driven solutions in the U.S. This role requires a strong mix of enterprise sales expertise, strategic thinking, and the ability to build relationships across industries where RLHF can drive transformative value. Key Responsibilities - Build and lead the sales organization for the RLHF vertical, including hiring, training, and performance management.- Define and execute the GTM strategy for enterprise and mid-market clients in the U.S.- Identify and prioritize target accounts across industries (e.g., tech, finance, healthcare, enterprise SaaS).- Partner with marketing and product teams to refine value propositions and market positioning.- Drive end-to-end enterprise sales cycles, from prospecting to close.- Own revenue targets and consistently deliver against growth objectives.- Represent RYZ Labs at events, conferences, and with media/analyst communities.- Act as a trusted advisor to C-level stakeholders on RLHF adoption and strategy.- Work closely with engineering, product, and operations teams to ensure delivery alignment.- Provide market feedback to inform R&D and solution roadmaps. Qualifications - 8+ years of experience in enterprise sales or business development, including leadership roles.- Proven track record of closing $1M+ enterprise deals and scaling sales organizations.- Deep understanding of AI/ML markets; familiarity with RLHF and its applications is strongly preferred.- Strong network in San Francisco and U.S. tech ecosystem.- Entrepreneurial mindset, with ability to thrive in a fast-paced, evolving environment.- Exceptional communication, negotiation, and leadership 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 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 most efficiently. - 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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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods with  powerful new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled and experienced translational scientist program manager to join our team and help support the execution of PathAI’s business and academic partnerships, including strategic projects, external collaborations and internal initiatives. The Translational Science Lead will work closely with machine learning, biomedical data sciences, product development, and business operations teams to ensure that our scientific project goals are being met, and that we and that we are maximizing our platform’s capabilities. The Translational Science Lead will be responsible for the day-to-day operations of current project relationships and supporting the development of new activities, as well as lead internal scientific strategy within disease areas. What You’ll Do Responsible for the scientific and strategic development of company projects. Drive and uphold rigorous scientific standards, bringing consistency to the analyses you encounter and ensuring our discoveries are adequately reviewed. Apply cutting edge approaches towards understanding disease biology to improve precision medicine and biomarker development. Solve interesting problems with machine learning and data science. Oversee day-to-day technical developments and manage relationships with internal and external stakeholders Collaborate across a range of groups - product, design, engineering front-end, machine learning, business operations, and infrastructure teams. Recommend new features for internal and external users, and improve existing ones to enhance the user experience. Drive the prioritization of our platform development, considering the team and our future roadmap. Mentor, learn, and share knowledge with others along the way. What You Bring 5+ years of experience in biotech, pharmaceutical or medical device industries. Advanced degree in life sciences or biomedical engineering-related disciplines required, PhD preferred. Ability to process quantitative datasets and broad comfort with statistics. Intellectual curiosity and the ability to learn quickly in a complex space. Strong organizational skills and experience managing project timelines We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.    #LI-Remote   

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are seeking a Battery Test Technician to support the development and validation of our battery systems. In this role, you will prepare and execute tests both onsite and offsite, collect critical performance data, and collaborate with engineering teams on debugging, analysis, and system improvements. This is a hands-on position that requires strong electro-mechanical skills, attention to detail, and a collaborative mindset. Responsibilities: Prepare and execute battery tests following engineering test outlines and procedures Instrument battery assemblies and test fixtures to enable accurate data acquisition Collect, document, and share test results with engineering teams for analysis Assemble and build test samples Perform test execution and post-test teardowns, including failure analysis Travel (~35%) to off-site testing facilities as required Fabricate test fixtures and prototype components as needed Troubleshoot and repair complex electro-mechanical systems Suggest and implement process improvements based on test outcomes Operate test instruments such as multimeters, oscilloscopes, ohm testers, DAQs, and bidirectional converters Maintain organized records of test setups, configurations, and outcomes Support integration of battery systems into full robot platforms Collaborate closely with cross-functional engineering teams to refine test methods Requirements: 5+ years of hands-on experience in testing, validation, or R&D support Experience with high-voltage systems and a strong understanding of safety protocols Proficiency in battery pack assembly, testing procedures, and basic failure analysis Strong understanding of electrical schematics with the ability to troubleshoot circuits Hands-on experience with soldering, crimping, and wire harness assembly Proficiency with test instruments (e.g., multimeters, oscilloscopes, DAQs) Strong documentation and reporting skills Excellent attention to detail, organizational skills, and ability to manage multiple priorities Willingness to travel to test facilities and work in hands-on environments Bonus Qualifications: IPC/WHMA-A-620 Certification for cable and harness assemblies Familiarity with certification testing such as UL 2271 and UN 38.3 requirements for lithium-ion batteries Certification in Dangerous Goods handling or transportation Experience with battery safety and abuse testing The US base salary range for this full-time position is between $35 - $55/hr.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.   

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Scale is at the frontier of the AI industry, improving the world’s leading generative AI and large language models through model evaluations, human-powered supervised fine-tuning datasets, world-class reinforcement learning with human feedback, and more.    Scale AI’s Public Sector team is growing in the Generative AI space, and we’re seeking an Operations Manager to lead high-impact projects that drive revenue and experimentation. In this role, you’ll work across operations, engineering, and customer engagement to produce world-class training and test and evaluation data for Large Language Models for our Public Sector customers.  This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets. In addition, you will partner directly with our internal machine learning experts and external stakeholders to ensure our data enables the development of mission-critical applications of AI. You will: Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes  Work closely with customers to understand their requirements and design data taxonomies that optimize model performance. Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance Partner with stakeholders across engineering, product, operations, and go-to-market teams to solve multi-faceted problems and drive LLM advancements Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines   You have:  An active Top Secret security clearance  2-3 years of experience in product development, data science, or operations A history of successful project management and comfort in ambiguity Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc    Nice to have:  Experience working in defense tech and/or an AI company A technical degree in fields like computer science, data science, or engineering A deep understanding of ML operations for generative AI workflows / products  Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of Washington DC is:$132,000—$166,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Sr Backend/LLM Ops Engineer Role at Fuse FinanceFuse is a high-growth New York City startup revolutionizing financial services infrastructure through an innovative low-code tool. Backed by top-tier venture capital, the company is creating a transformative self-service platform for configuration, integration, and automation in financial technology. We are now expanding our capabilities to leverage artificial intelligence in revolutionizing how financial services workflows and integrations are built.Position OverviewWe are seeking a Senior Backend engineer with hands-on experience with LLM ops to spearhead our artificial intelligence agents initiatives, focusing on leveraging generative AI to enhance our low-code platform capabilities. This role combines deep technical expertise in Backend development with practical experience in implementing AI agents solutions, particularly in generating and optimizing low-code workflows, user interfaces, and data schemas.Key ResponsibilitiesThe Senior Backend/LLM ops Engineer will drive the development and implementation of AI-powered features across our platform. Core responsibilities include:Building and optimizing AI agent pipelines that leverage leading language models and AI services to enhance our low-code platform capabilities.Developing sophisticated agentic workflows to ensure high-quality answers of our AI systems, with a particular focus on domain knowledge from low-code data sources.Designing and implementing AI agent systems that can effectively generate and validate use case specific workflows, user interfaces, and data schemas.Creating robust evaluation frameworks to measure and improve the quality of AI-generated outputs within our platform.Collaborating with product and engineering teams to seamlessly integrate AI capabilities into our existing platform architecture.Establishing best practices for AI implementation, including monitoring, versioning, and continuous improvement of models.Essential QualificationsAdvanced degree in Computer Science or related field, with 8+ years of relevant experience in Backend Development and proven hands-on experience implementing AI agents workflows.TypeScript, NodeJS.Large Language Model integration (GPT, Claude, Gemini, Grok) and prompt engineeringAI agents evaluation.Ai agents workflows pipeline design and implementation.Git version control and prompt versioning management.Cloud-based AI SDKs (GPT, Claude, Gemini, Grok)RESTful API design principlesDatabase models designs.Architectural patterns.Basic understanding of concepts related to authorization and authentication within an AI agents environment.Proven track record of implementing production-grade AI systems that deliver measurable business value.Technical ExpertiseStrong foundation in:Large Language Processing and Language Model (LLM)Machine Learning Operations (LLMOps)Agents evaluation and optimization (deepchecks, openAI Evals, Langsmith and similar)Cloud computing platforms (preferably AWS)SQL querying and optimization.ETL processing and integration..RESTful API integration, management and design.Software development best practicesProject Experience RequirementsPrevious success in:Implementing and fine-tuning large language modelsBuilding agentic centered workflow pipelines.Developing generative AI applications.Creating automated testing and validation frameworks for AI systems.Documentation and knowledge sharing of AI agents systems.Ideal CharacteristicsThe ideal candidate will demonstrate:Innovation in applying AI to solve complex business problemsStrong analytical and problem-solving abilitiesExcellence in technical communicationAbility to balance technical depth with practical implementationEnthusiasm for low-code platforms and their potentialCommitment to ethical AI development practicesTechnical EnvironmentLanguages: Typescript/Node.jsAI/ML Frameworks (Like Lanchain, LlamaIndex, Haystack, FlowWise)Cloud Infrastructure: AWSPostgreSQL.Version Control: GitCI/CD: GitHub ActionsNice to havePython and its ML/AI ecosystem (PyTorch, TensorFlow, Pandas or similar).FE experience.Impact OpportunityThis role offers the unique opportunity to:Shape the future of low-code development through AI innovationBuild next-generation financial services automation toolsWork with cutting-edge AI technologies and methodologiesDrive technical decisions that impact product directionMentor team members in AI implementation best practicesThe Selection ProcessSilver ScreeningSilver Technical Interview Client Willo InterviewClient Technical TestTech Lead InterviewSystem Design InterviewCTO Interview

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Role OverviewWe are looking for a versatile Research Engineer with a strong background in machine learning or 3D, software development, and systems design. This role is ideal for someone excited about bridging cutting-edge research with practical engineering, and who thrives on solving diverse technical challenges across modeling, infrastructure, and product development.You’ll work closely with researchers, engineers, and product teams to design, build, and deploy advanced models and systems in real-world applications on the cutting edge of spatial intelligence. The role emphasizes hands-on contributions across the entire lifecycle—exploration, prototyping, experimentation, and production deployment. You will help ensure our technology continues to push boundaries in AI and remains robust, scalable, and impactful.Key ResponsibilitiesResearch, design, and implement machine learning models and systems across multiple domains (vision, generative AI, simulation, rendering).Develop efficient software pipelines and infrastructure for data curation, training, evaluation, and deployment.Translate research insights into production-ready solutions, collaborating with product teams to meet real-world requirements.Contribute hands-on to all aspects of the engineering cycle—prototyping, optimization, integration, and scaling.Stay current with the latest research trends and explore opportunities to apply new methods to product and system development.Share technical expertise with colleagues, mentor junior team members, and promote engineering best practices. Ideal Candidate Profile3+ years of experience in applied machine learning, research engineering, 3D, or related development roles, ideally in fast-paced or startup environments.Proficiency with ML frameworks such as PyTorch or TensorFlow, and solid understanding of generative modeling, deep learning, or reinforcement learning.Demonstrated ability to work across different problem domains (e.g., computer vision, simulation, graphics, or systems).Proven track record of delivering robust prototypes and/or production systems.Strong coding skills in Python (additional experience with C++ or CUDA a plus) and comfort with GPU-accelerated computing.Strong problem-solving skills with the ability to adapt quickly, manage ambiguity, and operate in a dynamic environment.Excellent communication skills, with the ability to work effectively across research and product-focused teams.Nice to HaveContributions to open-source projects in ML, systems, or developer tools.Experience with large-scale training or distributed systems (multi-GPU or multi-node).Familiarity with deployment and integration of ML models in production settings.Experience writing efficient low-level code (e.g., CUDA kernels, performance optimization).

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Role OverviewWe are seeking a talented Research Scientist specializing in generative modeling and diffusion models to join our modeling team. This role is ideal for someone who is an expert at pre-training or post-training of large-scale diffusion models for images, videos, or 3D assets or scenes.You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.Key ResponsibilitiesDesign, implement, and train large-scale diffusion models for generating 3D worldsDevelop and experiment with post-training for large-scale diffusion models to add novel control signals, adapt to target aesthetic preferences, or distill for efficient inferenceCollaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps.Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment.Continuously explore and integrate cutting-edge research in diffusion and generative AI more broadlyAct as a key technical resource within the team, mentoring colleagues, and driving best practices in generative modeling and ML engineeringIdeal Candidate Profile3+ years of experience in generative modeling or applied ML roles, ideally at a startup or other fast-paced research environmentExtensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative modelsDeep expertise in at least one area of generative modeling: pre-training, post-training, diffusion distillation, etc for diffusion modelsStrong history of publications or open-source contributions involving large-scale diffusion modelsStrong coding proficiency in Python and experience with GPU-accelerated computing.Ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes.Comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.Nice to HaveContributions to open-source projects in the fields of computer vision, graphics, or ML.Familiarity with large-scale training infrastructure (e.g., multi-node GPU clusters, distributed training environments).Experience integrating machine learning models into production environments.Led or been involved with the development or training of large-scale, state-of-the-art generative models

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Role OverviewWe are seeking a talented Research Scientist specializing in 3D Models to join our modeling team. This role is ideal for someone passionate about developing and implementing cutting-edge 3D representation and machine learning models that generate sophisticated 3D scenes and objects, ranging from intricate details to expansive environments. You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.Key ResponsibilitiesDevelop and implement state-of-the-art 3D representations and machine learning models to accurately capture and generate detailed 3D structures.Design and model small to large-scale objects and complex scenes, applying computer vision, graphics, and generative AI techniques.Collaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps.Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment.Continuously explore and integrate cutting-edge research in 3D modeling and generative AI.Act as a key technical resource within the team, mentoring colleagues, and driving best practices in 3D modeling and ML engineering.Ideal Candidate Profile3+ years of experience in 3D models, graphics, or applied ML roles, ideally within startup or fast-paced research environments.Extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of generative models and 3D representations.Deep expertise in at least one area of computer graphics, 3D reconstruction, neural rendering, generative AI for vision, or related fields.Proven ability to deliver high-quality 3D projects that involve complex object and scene generation.Strong academic track record or demonstrated expertise in 3D modeling, machine learning and/or rendering.Strong coding proficiency in Python and experience with GPU-accelerated computing.Ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes.Comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.Nice to HaveContributions to open-source projects in the fields of computer vision, graphics, or ML.Familiarity with large-scale training infrastructure (e.g., multi-node GPU clusters, distributed training environments).Experience integrating machine learning models into production environments.Experience writing custom graphics or rendering related CUDA operators for use in ML frameworks such as PyTorch

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About Celestial AI As Generative AI continues to advance, the performance drivers for data center infrastructure are shifting from systems-on-chip (SOCs) to systems of chips. In the era of Accelerated Computing, data center bottlenecks are no longer limited to compute performance, but rather the system’s interconnect bandwidth, memory bandwidth, and memory capacity. Celestial AI’s Photonic Fabric™ is the next-generation interconnect technology that delivers a tenfold increase in performance and energy efficiency compared to competing solutions. The Photonic Fabric™ is available to our customers in multiple technology offerings, including optical interface chiplets, optical interposers, and Optical Multi-chip Interconnect Bridges (OMIB). This allows customers to easily incorporate high bandwidth, low power, and low latency optical interfaces into their AI accelerators and GPUs. The technology is fully compatible with both protocol and physical layers, including standard 2.5D packaging processes. This seamless integration enables XPUs to utilize optical interconnects for both compute-to-compute and compute-to-memory fabrics, achieving bandwidths in the tens of terabits per second with nanosecond latencies. This innovation empowers hyperscalers to enhance the efficiency and cost-effectiveness of AI processing by optimizing the XPUs required for training and inference, while significantly reducing the TCO2 impact. To bolster customer collaborations, Celestial AI is developing a Photonic Fabric ecosystem consisting of tier-1 partnerships that include custom silicon/ASIC design, system integrators, HBM memory, assembly, and packaging suppliers.ABOUT THE ROLE As Director of 2.5D/3D Process development you will lead, grow, and manage a high‑performing assembly & packaging team, utilizing your in‑depth 2.5D assembly process experience and partner management experience to drive the company’s AI products from concept to high volume manufacturing. You will be responsible for managing and driving the assembly process technology development in close collaboration with foundries and OSATs to ensure design for manufacturing, reliability, and cost. Responsibilities will include identification and mitigation of risk to new technologies used in product integration and ensure factory readiness through maturing product during the NPI phase. This job will require you to have hands‑on experience in TSV and wafer process development, 2.5D/3D CoW assembly development along with strong project management, written and verbal communication skills as well as a can‑do attitude to prioritize and address issues with a high sense of urgency.   ESSENTIAL DUTIES AND RESPONSIBILITIES Build, lead, and manage a high‑performance team responsible for assembly & packaging process technology; set goals, direct resources, mentor staff, conduct performance reviews, and ensure team delivers on objectives. Work with cross‑functional packaging teams and lead TSV, backend stack development at the foundry along with 2.5D/3D CoW process development at OSATs to bring packaging solutions from concept to prototypes and ramp to high volume manufacturing with aggressive cost reduction strategies. Actively manage qualification of packages with sensitivity to physics of failures for high thermo‑mechanical reliability, while operating within established cost constraints. Manage internal and external resources effectively and efficiently towards established corporate milestones. Drive ideation and innovation of advanced package solutions and specifications with vendors to advance productization efforts by Celestial AI.   QUALIFICATIONS 15+ years of experience in Semiconductor Packaging, Process and Technology Development. Expert level understanding of advanced foundry process node and its interaction with packaging/assembly/substrate across various package technologies is required. Expertise in advanced packaging technologies: knowledge and insight to deliver high density/high performance interconnects with TSVs in various 2.5D/3D package form factors. Proven track record of bringing products from technology development, package design/definition, qualification, NPI through HVM is required. Working level understanding of cross‑functional packaging areas: package architecture, design rules, BOM, enabling material/process technologies, mechanical, design for manufacturing, reliability, and cost. Familiarity with component & system level reliability, testing, and Failure Analysis (FA). Experience with photonics packaging will be preferred but is not necessary. Experience in project management and communicating technical and project/program status and issue resolution at the executive level. Previous management experience: must have managed direct reports and been responsible for hiring, mentoring, performance reviews, and resource allocation. Excellent problem‑solving skills with strong fundamentals in science, sound engineering judgment, and analytical ability. Effective communicator and comfortable engaging with internal cross functional teams as well as domestic and overseas suppliers. Excellent attention to detail, process and operationally oriented and self‑driven with the ability to work independently and take projects to completion with minimum supervision. M.S or Ph.D. in Mechanical Engineering, Materials Science or Physics is required.     LOCATION: Santa Clara, CA   For California Location: As an early stage start up, we offer an extremely attractive total compensation package inclusive of competitive base salary, bonus and a generous grant of our valuable early-stage equity. The target base salary for this role is approximately $215,000.00 - $245,000.00. The base salary offered may be slightly higher or lower than the target base salary, based on the final scope as determined by the depth of the experience and skills demonstrated by candidate in the interviews.We offer great benefits (health, vision, dental and life insurance), collaborative and continuous learning work environment, where you will get a chance to work with smart and dedicated people engaged in developing the next generation architecture for high performance computing. Celestial AI Inc. is proud to be an equal opportunity workplace and is an affirmative action employer.   #LI-Onsite

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About Celestial AI As Generative AI continues to advance, the performance drivers for data center infrastructure are shifting from systems-on-chip (SOCs) to systems of chips. In the era of Accelerated Computing, data center bottlenecks are no longer limited to compute performance, but rather the system’s interconnect bandwidth, memory bandwidth, and memory capacity. Celestial AI’s Photonic Fabric™ is the next-generation interconnect technology that delivers a tenfold increase in performance and energy efficiency compared to competing solutions. The Photonic Fabric™ is available to our customers in multiple technology offerings, including optical interface chiplets, optical interposers, and Optical Multi-chip Interconnect Bridges (OMIB). This allows customers to easily incorporate high bandwidth, low power, and low latency optical interfaces into their AI accelerators and GPUs. The technology is fully compatible with both protocol and physical layers, including standard 2.5D packaging processes. This seamless integration enables XPUs to utilize optical interconnects for both compute-to-compute and compute-to-memory fabrics, achieving bandwidths in the tens of terabits per second with nanosecond latencies. This innovation empowers hyperscalers to enhance the efficiency and cost-effectiveness of AI processing by optimizing the XPUs required for training and inference, while significantly reducing the TCO2 impact. To bolster customer collaborations, Celestial AI is developing a Photonic Fabric ecosystem consisting of tier-1 partnerships that include custom silicon/ASIC design, system integrators, HBM memory, assembly, and packaging suppliers.ABOUT THE ROLE We are seeking a Photonics Chip Lead that can own the delivery of product PICs for Celestial’s industry-leading scale-up network offerings. The role requires deep expertise and experience in Silicon Photonics system, block & device design, IC design EDA tools and PIC/ASIC co-design. ESSENTIAL DUTIES AND RESPONSIBILITIES Delivery of Photonic ICs (PICs) for Celestial’s key product segments. Drive critical aspects of PIC design, including photonic architecture & routing, schematic capture & modeling and physical design. Work in conjunction with broader analog, digital and packaging teams to ensure PIC meets all product specifications and integration requirements. Contribute to the design of Silicon Photonic devices and subsystems to augment the Celestial Photonics PDK.   QUALIFICATIONS   Specialized skills Strong experience with complete Silicon Photonics PIC development (architecture, routing, link-budget development, system integration) Strong experience with modeling of photonic circuits and with simulation of Silicon Photonics components using standard tools (Lumerical, Photon Design, RSoft, VPI or similar) Experience with physical design/layout tools (Cadence, Mentor or similar) Experience with PIC co-design with ASICs and digital control blocks Experience with data analysis tools (JMP, DataConductor or similar) Education requirements Minimum MS in engineering or physics. PhD is preferred. Experience requirements Minimum 10 years of relevant experience Attributes Self-starter Thrives in a highly collaborative and dynamic work environment Excellent oral and written communication skills Creativity in problem-solving with strong attention to detail     LOCATION: Santa Clara, CA   For California Location: As an early stage start up, we offer an extremely attractive total compensation package inclusive of competitive base salary, bonus and a generous grant of our valuable early-stage equity. The target base salary for this role is approximately $195,000.00 - $235,000.00. The base salary offered may be slightly higher or lower than the target base salary, based on the final scope as determined by the depth of the experience and skills demonstrated by candidate in the interviews.We offer great benefits (health, vision, dental and life insurance), collaborative and continuous learning work environment, where you will get a chance to work with smart and dedicated people engaged in developing the next generation architecture for high performance computing. Celestial AI Inc. is proud to be an equal opportunity workplace and is an affirmative action employer.   #LI-Onsite

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About RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.What will you do as a Senior Applied Scientist?You will be leading, designing and experimenting with cutting edge research on how to best solve pressing issues surfacing in the legal domain. You will apply your expertise in machine learning, data science, and behavioural modelling to drive meaningful insights and innovations.As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search capabilities, and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of the legal domain, making legal knowledge more accessible, navigable, and actionable. Your day-to-day responsibilities:Develop and advance knowledge extraction and representation methods - we’re particularly interested in people keen on:structured knowledge extraction from legal texts and imagesknowledge graphs/ontology engineeringlegal knowledge base constructionspecialised embedding methods for multimodal content in the legal domainDevelop methods for retrieval and reasoning over legal knowledge bases and systems (e.g. hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search)Performing fine-tuning and reinforcement learning to teach language models how to interact with new information architectures.Building “hard” eval sets to help identify failure modes of how language models work with legal data.Build infrastructure for running experiments and visualising results.Work with colleagues to communicate results internally and publicly.Stay updated with the latest research in machine learning, AI, knowledge representation and retrieval to bring innovative solutions to the table.Mentor junior researchers and contribute to building a collaborative, knowledge-sharing culture. Ideally, you should have the following qualifications:A Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience).Strong expertise in machine learning algorithms, statistical methods, and optimisation techniques.Have a strong track record of scientific research (in any field), and have done work on information retrieval, knowledge representation and reasoning, structured knowledge extraction, or large-scale data analytics.You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results.Experience (or desire to be) working in multi-disciplinary teams.What’s in it for youSalary: up to $200,000 per annum Hybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 17 days PTO, in addition to the public holidays observed in the USA.Health: Medical, dental, and vision coverage.401k retirement.Growth opportunities: We prioritise promotions for high performers and help you to progress your career.What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The Role We're looking for an experienced Engineering Manager to lead and inspire a high-performing team of software engineers. In this role, you'll be responsible for people management, technical execution, and cross-functional collaboration to deliver impactful features that improve how our users create and manage content with AI.You’ll be joining a fast-paced environment where experimentation is encouraged, ownership is expected, and shipping quality software matters. The ideal candidate is an empathetic leader who can balance execution with coaching, strategic thinking with attention to detail, and team alignment with individual growth.This fully remote role reports to the Chief Technology Officer and is open to candidates located anywhere in the continental US. What you will do at JasperLead a team of engineers working on core areas of Jasper’s platform (e.g., content generation, collaboration tools, data pipelines, or integrations).Foster a high-trust, inclusive, and feedback-driven engineering culture focused on learning, autonomy, and performance.Collaborate with product managers, designers, and other stakeholders to define, prioritize, and deliver on technical and business goals.Ensure reliable delivery by creating healthy team rituals, resolving blockers, and optimizing processes.Support engineers' growth through coaching, mentorship, regular feedback, and clear development plans.Participate in technical design reviews, architectural planning, and roadmap discussions.Contribute to hiring and onboarding as we continue scaling the engineering team.What you will bring to Jasper 7+ years of hands-on software engineering experience and deep understanding of our tech stack (Typescript(NodeJS), NestJS Framework, Python, and React3+ years of engineering management experience, ideally in a VC-backed, high-growth SaaS or product-led company.Proven track record of shipping high-quality features with cross-functional teams.Excellent communication skills, both verbal and written.Passion for building generative AI products or developer tools is a strong plus.Experience managing remote teams is preferred.Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $210,000 - $250,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the RoleAs a Machine Learning Engineer in our Professional and Financial Services business unit, you will work on project teams delivering bespoke machine learning solutions to our clients. You will be responsible for implementing data-driven approaches, contributing to the design of scalable software architectures, and ensuring best practices are followed throughout development.You will collaborate closely with our commercial team to help shape and deliver high-quality projects. In the early stages of client engagements, you will contribute to defining the technical scope, ensuring that proposed solutions are both feasible and aligned with business objectives. Your work will play a critical role in ensuring we deliver impactful software within agreed timeframes.This role offers the opportunity to apply cutting-edge machine learning techniques to complex challenges in professional and financial services, while working alongside colleagues from diverse technical and commercial backgrounds. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Why Engineering at Dataiku?  Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here. What to know about the Field Engineering team  As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms. How you’ll make an impact This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you. Some expected outcomes for this role: Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem) Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers Drive technical success by being a trusted advisor to our customers and our internal account teams  What you need to be successful: Professional experience with at least one cloud based services (AWS, GCP or Azure) Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc) Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks) Some experience with Python Grit when faced with technical issues Comfort and confidence in client-facing interactions Ability to work both pre and post sale What will make you stand out: Some knowledge in Data Science and/or machine learning Linux system administration experience Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning  Professional experience or Familiarity with Hadoop environment (Cloudera) is a plus Experience with authentication and authorization systems like(A)AD, IAM, and LDAP What does the hiring process look like? #LI-Hybrid #LI-AN1 Initial call with a member of our Technical Recruiting team Video call with the Field Engineer Hiring Manager Technical Assessment to show your skills (Home Test) Debrief of your Tech Assessment with Field Engineer Team members Final Interview with the VP Field Engineering   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About ClarionAt Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.Why Join Us?Early-stage impact with proven traction: Dozens of paying customers, rapidly growing revenue, and strong market signals—all in the high-impact environment of an early-stage startup.Tackling a massive healthcare challenge: Address a critical problem in communication that affects millions of patients and providers daily, using technology that truly transforms the patient experience.Technical founding team: Collaborate directly with experienced founders who understand healthcare operations and technical development, enabling faster decisions and better outcomes.Cutting-edge tech frontier: Harness the latest generative AI models—LLMs, voice synthesis, and real-time transcription—to build conversational agents that push healthcare innovation beyond current limits.In-person collaboration advantage: We've prioritized in-person work from day one for faster progress, stronger team bonds, and a cohesive culture.ResponsibilitiesShape product strategy: Synthesize customer feedback, sales requirements, and engineering constraints into a clear product roadmap. You'll prioritize features based on ROI and customer impact, track implementation progress, and ensure launches actually solve customer problems.Own product operations: Document feature releases, coordinate customer rollouts, analyze usage data, and bridge the gap between what engineering builds and what customers need. You'll be the connective tissue between product, sales, and customer success.Run our operating cadence: Own weekly leadership meetings, track commitments and follow-ups, and make sure decisions actually turn into results.Scale our team: Manage the recruiting pipeline from job posting to first day, ensuring we hire the right people without dropping candidates along the way.Support fundraising efforts: Draft investor updates, maintain board materials, and help the CEO stay organized for investor conversations.Own operational infrastructure: Manage our core business systems, vendor relationships, and the administrative work that keeps the company running smoothly.Navigate healthcare requirements: Handle marketplace applications, compliance documentation, and the regulatory processes needed to sell into healthcare.Execute company initiatives: Whether it's conference planning, office logistics, or special projects from the CEO—you'll own it end-to-end.RequirementsProven operational excellence: 2-5 years at a top-tier consulting firm (McKinsey, Bain, BCG), investment bank, VC, or high-growth startup in an operational or product role.Exceptional clarity of thought: Ability to synthesize complex, ambiguous information from multiple sources and communicate it crisply to any audience—from engineers to investors.Meticulous attention to detail: Can juggle 10+ initiatives simultaneously without dropping a single ball, with the organizational skills to track and follow up on everything.Low ego, high output: Equally comfortable preparing board presentations or assembling office furniture—you care about getting things done, not who gets credit.Self-directed problem solver: Thrives in ambiguity, creates structure from chaos, and proactively identifies what needs to happen without constant oversight.Interesting Technical ChallengesBuilding a world-class talent engine: Design hiring processes that attract top talent while moving at startup speed, creating systems that scale from 10 to 100 employees.Scaling operational infrastructure: Architect lightweight processes and systems that maintain efficiency as we grow 10x, preventing the bureaucracy that slows down most companies.Product-market fit refinement: Synthesize signals from sales, customer success, and engineering to identify the features that will unlock our next phase of growth.Healthcare market navigation: Master the complex landscape of EHR integrations, compliance requirements, and enterprise sales cycles to accelerate our market penetration.Cross-functional orchestration: Build the connective tissue between teams that ensures nothing falls through the cracks as we scale rapidly.What we offerDirect mentorship: Work closely with our founding team and experienced engineering leaders who will invest in your professional developmentMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunchesTeam culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC teamImpact at scale: Your work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they needInterview ProcessAt each stage, we decide within 24 hours and update you shortly after:First Chat (30 min) [Virtual]: Discuss your background, what you're optimizing for, and how you think about operational challenges at early-stage companies.Case Study Exercise (1 hr) [Virtual]: Work through a real operational or product prioritization challenge we've faced, demonstrating your problem-solving approach.Take-home Assignment (2-3 hrs) [Async]: Complete a practical exercise—could be prioritizing a feature roadmap, analyzing our recruiting funnel, or designing a conference strategy.Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, dive deep into our business, present your take-home work, and collaborate on live problems with leadership.If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

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About SienaSiena is building enterprise empathic AI Agents powered by reasoning-adept LLMs. Siena is the first AI Agent of its kind, designed to integrate with existing systems and interact with customers across multiple channels from a single, unified platform.If you're excited about the intersection of human-to-machine communication and want to be part of a team driving innovation and making a real impact in automating agentic workflows, join us on our mission to revolutionize customer experience through empathetic AI.Our AI-First PhilosophyAt Siena, AI isn't just a tool—it’s embedded in our DNA. We believe that leveraging AI-first workflows empowers individuals to work smarter, faster, and more creatively. Our team embraces AI-powered augmentation in everything we do, from research to execution, making us more efficient and innovative every day.About the RoleWe’re looking for an Vibe GTM Engineer who moves fast, prototypes scrappy, and ships tools that give our GTM teams 10x leverage. You’ll use LLMs, AI agents, automation platforms, and custom scripts to multiply what our sales, marketing, and content teams can do. Think scraping, sequencing, editing, creating campaigns, and stitching together tools into workflows that unlock scale.This is a high-leverage role for someone who moves like a hacker, thinks in distribution, and isn’t afraid to get their hands dirty with everything from APIs to video editing.What You’ll DoBuild and launch AI-powered workflows to accelerate personalization and targeting across sales and marketing (e.g. scraping emails, building AI sequences, campaign orchestration).Create and automate workflows for content, social, video, and case studies—using AI to generate, edit, and distribute at scale.Prototype and ship MVP experiments for GTM initiatives using Gumloop, n8n, Lovable, Vercel, or custom scripts.Automate repetitive workflows across sales, marketing, and ops—enrichment, reporting, deal tracking, campaign QA.Leverage APIs, webhooks, and LLMs to stitch together GTM infrastructure that scales smarter.Act as an internal multiplier: build custom GPTs, playbooks, and agents that make GTM teams more effective.Collaborate with GTM leadership to identify bottlenecks and quickly ship solutions.You’ll Thrive If YouThink like a growth hacker but can ship like an engineer.Love working with AI, APIs, and automation. Bonus if you’ve built scrappy agents, custom GPTs, or GTM workflows.Are fluent in Gumloop/n8n/N8N/Zapier, GPT-4/5, Retool, Notion, Airtable, Python, JavaScript, SQL, LangChain, Vercel/Lovable/Replit, Claude Code, Apollo.Bias toward shipping over spec’ing—you’d rather deliver a working prototype today than a deck next week.Have strong product sense and can build things that are not just functional but also usable.Creative eye and high taste: you know what great design looks like and are obsessed about details.Communicate clearly, take ownership, and don’t wait to be told what to do.Resourceful and scrappy, from recording your own ads to hacking together AI tools, your single focus is making it happen.Nice to HavesPrior experience in B2B SaaS, ecommerce, or GTM teams.Familiarity with GTM systems like HubSpot, Salesforce, Segment, Amplitude.Comfort working with structured and unstructured data—cleaning, transforming, and piping it into useful workflows.Experience with AI video/content tools (Runway, Synthesia, ElevenLabs, Descript, etc.).Why Join UsWe’re a startup, so no fancy offices or corporate fluff. But here’s what we do offer:Make a real impact. Your work directly shapes our product and company.A Voice that matters. In a small team, every perspective counts—yours included.Working at Siena. We are a fully remote, globally distributed team working at the bleeding edge of CX and generative AI.Competitive compensation. Great salary plus the opportunity for equity or stock grants.Flexible time off. Take at least 15 days—more if you need it.A Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.Tackling meaningful challenges. We’re redefining how work gets done through AI.Our valuesWe’re not about corporate jargon—here’s what truly matters to us:Curiosity and creativity: You always seek new knowledge, ask questions, and explore different perspectives to deepen your understanding.Customer empathy: You are driven by our customers’ success. You see needs they can’t articulate.Resilience: You bounce back from setbacks, adapt to change, and thrive in the face of challenges.Ownership and autonomy: When things break, you fix first, explain later.Relationships: You create bonds with your colleagues - building trust and sharing success.Craft and speed: You balance vision with pragmatism. Your standards pull everyone higher.Open and direct: You share and receive feedback. You are open about what’s working and what not.AI-First ToolingTo ensure you stay at the cutting edge of AI-driven work, we provide:Perplexity Pro accountChatGPT Pro accountClaude Pro accountQuarterly budget for experimenting with new AI toolsA culture that encourages AI experimentation and adoptionWe encourage our team to explore and integrate AI tools into their workflows, allowing them to maximize efficiency and innovation in their roles.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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Your New Role and TeamSanctuary AI–a multi award-winning LinkedIn Top Startup company - is looking to hire a firmware engineering intern. The Embedded Systems team is composed of both electronics and firmware engineers. The team works closely together to create custom products to be consumed by other teams such as Controls and ML. Our Success CriteriaDevelop firmware for a variety of embedded systems as well as maintain and update existing firmware systems as neededCollaborate with the electrical and mechanical team to develop robust embedded systemsWork with electrical and firmware team to develop and complete device/system test plans   Develop unit tests in C/C++ for new or existing firmwareDevelop HIL tests and infrastructureDevelop drivers for sensors/componentsElectrical tests and debug with standard tools (oscilloscope, logic analyzer,  in-circuit debug, digital multimeter, etc) Your ExperienceQualifications Pursuing a Bachelor’s degree in electrical/computer engineering, computer science, mechatronics engineering, engineering physics, or a related technical field, or equivalent practical experienceFluency with C/C++ for embedded systems, and ability to deliver high-quality codeKnowledge of ARM or equivalent embedded microcontroller architecturesKnowledge of software version control such as git SkillsExperience interfacing with sensors through communication protocols such as I2C/SPI/CAN/EthercatExperience developing in an RTOS environment and writing low-level driversExperience developing in a linux based environmentFluency with using oscilloscopes, multimeters, logic analyzers and various other electrical engineering tools.Proven track record of delivering high quality design documentation, test reports, and other documentation TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsOptimistic listening and conflict resolution capabilitiesDemonstrated ability to influence others without authorityEager to take on new challenges with tenacity and positivityPatience, persistence, and attention to detail when resolving performance issuesObsession with bringing human-like intelligence to machines