Find AI Work That Works for You

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About WisprWispr Flow is making it as effortless to interact with your devices as talking to a close friend. Voice is the most natural, powerful way to communicate — and we’re building the interfaces to make that a reality.Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.Dictation is just our first act. We’re building the interaction layer for your computer — a system that’s capable, understands you, and earns your trust. It will start by writing for you, then move to taking actions, and ultimately anticipate your needs before you ask.We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.This year, we've grown our revenue 50% month-over-month and with our latest $30M Series A, this is just the beginning.About the RoleAs a iOS engineer at Wispr, you'll be one of the core team members responsible for the designing Wispr's iOS voice assistant, improving the core Flow voice dictation experience, and prototyping and shipping our new voice interface features.What are we looking for?Previous founding or startup experienceFluency in Swift, shipped multiple iOS apps to large userbasesUser-focused design intuition and design tasteAttention to detail and eagerness to learnAptitude and clarity of thoughtCreativity, excellence in engineering, and code velocityRequired Knowledge/Skills, Education, And ExperienceBuilt full-stack personal projects or contributed to open source in Swift (send your best)Incredible attention to detail on design and animationsCare towards code quality and UXStrong programming practices and high-throughput of code across the stackOutstanding team player and communicatorWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, collaborative, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures flow freely in our Slack. Why We Need You: We’re looking for a seasoned Principal Product Manager who can lead one of the most important bets for the company. This role will lead this initiative, including setting strategy / KPIs, driving product choices and delivering high impact. You will be comfortable getting hands-on with detailed, nuanced product choices, while also understanding the larger path ahead with your overall strategy. Finally, to land a great outcome, you will need to be an excellent cross-functional collaborator. What You'll Do:Scope: Lead a major product at Findem, including setting long-term strategy, and making the business case for more investmentInsights: Own the company’s thesis for the market segment including the target buyer and customer personas and their most important needsProduct craft: Bring robust, first-principle, out of the box thinking to our problem space, and using quantitative and qualitative data to drive your conclusionsCrafted execution: Work closely with engineering to focus our efforts on the most impactful innovations, owning prioritization, unblocking major issues, and landing product milestonesCommunication: Working cross-functionally with marketing, GMs, support, and other stakeholders to drive alignment to the right goals. Your Working Experience:7+ years as a product manager, ideally with startup experienceExperience doing 0->1 and 1->10 product buildingExperience in with B2B PLG products, B2B SaaS (especially for multi-step workflows)Ability to drive short term execution while building towards (and testing) a long term vision What Makes You a Great Fit:Prior experience with assisting or automating manual workflowsPrior experience in recruiting or HR softwarePrior experience in AI/ML products

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About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.What you’ll doAs a Product Manager on the Luminai team, your mission will be to define, build, and launch new 0 to 1 products to drive high user impact across healthcare organizations.Within your first 6 months at Luminai, you’ll be responsible for successfully launching and scaling new frontier offerings. As a product leader, you’ll be responsible for the entire lifecycle of new product initiatives--from product scoping to scaled rollout.Define and scope frontier products: Build a deep understanding of customer needs and translate them into actionable product specifications within the first 3 months. Deliver meaningful product capabilities that enhance customer value and support Luminai mission within the first 6 months.Build, launch and scale: Lead the entire product lifecycle, from ideation and prototyping to launch and post-launch optimization. Collaborate closely with cross-functional teams to ensure seamless, scalable implementations within the first 6 months.Platform strategy: Develop and maintain a product roadmap aligned with business goals, balancing short-term deliverables with long-term strategy. Set clear, measurable OKRs and track product success against these metrics for product area.Product ownership: Act as the driving force behind collaboration between product, engineering, design, and GTM teams and enablement for sales and customer success to ensure your platform delivers customer value.Who we're looking forYou have 3+ years of product experience working on 0 to 1 problemsYou have a founder / ownership mindset to product management with a proven ability to take products from ideation through launch and scaleStrong functional technical understanding, with experience managing platform-related products, APIs, or cloud-based systems.You can set and track against OKRs and take a proactive ownership mindset to keep leadership informed on accomplishments and next stepsYou have a strong track record of aligning across multiple cross-functional teams and leading product initiatives by working effectively with engineering, design, and other stakeholdersProficiency in defining key product metrics, tracking success, and making data-driven decisions.You are comfortable working with engineering teams and understanding technical trade-offs, with experience writing detailed product specifications for both technical and non-technical audiencesYou are results-oriented and focus on delivering measurable value for customers, always tracking and achieving key product metrics

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About The RoleTaktile is a high-growth, post product-market-fit start-up, on a fast trajectory to becoming market leader in the field of automated decisioning. We are looking for a Forward Deployed Engineer Manager to help us transform how our customers make critical business decisions by overseeing a team of Forward Deployed Engineers onboarding them onto Taktile and ensuring they get real value from our platform. You ensure your team acts as a trusted advisor and supports customers in reaching their goals while maximizing Taktile’s impact.If you’re passionate about tech and AI, and have extensive experience with Python, SQL, and REST APIs, you’ll thrive here.What You'll do as Forward Deployed Engineering ManagerOversee Taktile deployments in production, technical delivery across multiple projects from scoping to stable production traffic.Apply technical expertise, problem-solving skills and creativity to help organizations address real-world challenges by partnering and problem solving with your team members. Your day could include reviewing solution architectures, co-developing decision logic or AI agents, or aligning with key customer stakeholders together with your team members.Reliably review solution design and scoping proposals, sequence delivery, and proactively remove blockers. You are making thoughtful trade-offs between scope, speed, and quality to ensure successful and timely project delivery.Manage capacity of your team and partners with RevOps/Customer operations to improve or introduce scalable processes to the Forward Deployed Engineering teams at Taktile.Partner with Taktile’s product management team to turn your understanding of customer needs into actionable product insights, directly influencing the evolution of Taktile’s product roadmap.You play a key role in scaling the Forward Deployed Engineering function by creating reusable resources, best practices, and tools that share your expertise and drive organizational growthYou actively coach and mentor Forward Deployed Engineers on your team, supporting their development and success.You hire, grow and retain a team of exceptional Forward Deployed Engineers.About YouYou bring 8+ years of engineering or technical deployment experience that includes customer-facing work.You had first experience of leading a technical customer-facing team of 3x direct reports.You have strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.You can write and review production-grade code using Python and SQL. You possess a strong understanding of REST APIs.You excel at breaking down complex problems and making quick, well-informed decisions even under pressure.You build strong relationships with both technical and business stakeholders at all levels, driven by curiosity and a customer-centric mindset that helps you understand their needs and solve their challenges.You are creative and proactive, always seeking new ways to deliver value and stand out with customers.You are collaborative and work well with your peers in product teams, engineers and other GTM teams.You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business.You have excellent written and spoken English.You are open to a hybrid work model and can work from our NYC office at least three days per weekIdeal Qualifications (but not required)You have 8+ years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company.You have led a large technical customer facing team of 5-10 direct reports, have experience in hiring and retaining exceptional talent.You have experience in building AI applications.You have experience in applying and optimizing statistical and machine learning models to solve business problems.You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).You are fluent in Spanish and/or Portuguese.What We OfferWork with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.Make an impact and meaningfully shape an early-stage company.Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.Receive a top-of-market equity and cash compensation package.Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.Use the equipment of your choice including meaningful home office set-up.Our StanceWe're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.About UsTaktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere.Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have extensive experience building distributed training infrastructure for language and multimodal models, with hands-on expertise in frameworks like PyTorch Distributed, DeepSpeed, or Megatron-LMYou're passionate about solving complex systems challenges in large-scale model training—from efficient multimodal data loading to sophisticated sharding strategies to robust checkpointing mechanismsYou have a deep understanding of hardware accelerators and networking topologies, with the ability to optimize communication patterns for different parallelism strategiesYou're skilled at identifying and resolving performance bottlenecks in training pipelines, whether they occur in data loading, computation, or communication between nodesYou have experience working with diverse data types (text, images, video, audio) and can build data pipelines that handle heterogeneous inputs efficientlyDesired Experience:You've implemented custom sharding techniques (tensor/pipeline/data parallelism) to scale training across distributed GPU clusters of varying sizesYou have experience optimizing data pipelines for multimodal datasets with sophisticated preprocessing requirementsYou've built fault-tolerant checkpointing systems that can handle complex model states while minimizing training interruptionsYou've contributed to open-source training infrastructure projects or frameworksYou've designed training infrastructure that works efficiently for both parameter-efficient specialized models and massive multimodal systemsWhat You'll Actually Do:Design and implement high-performance, scalable training infrastructure that efficiently utilizes our GPU clusters for both specialized and large-scale multimodal modelsBuild robust data loading systems that eliminate I/O bottlenecks and enable training on diverse multimodal datasetsDevelop sophisticated checkpointing mechanisms that balance memory constraints with recovery needs across different model scalesOptimize communication patterns between nodes to minimize the overhead of distributed training for long-running experimentsCollaborate with ML engineers to implement new model architectures and training algorithms at scaleCreate monitoring and debugging tools to ensure training stability and resource efficiency across our infrastructureWhat You'll Gain:The opportunity to solve some of the hardest systems challenges in AI, working at the intersection of distributed systems and cutting-edge multimodal machine learningExperience building infrastructure that powers the next generation of foundation models across the full spectrum of model scalesThe satisfaction of seeing your work directly enable breakthroughs in model capabilities and performanceAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have experience writing high-performance, custom GPU kernels for training or inference.You have an understanding of low-level profiling tools and how to tune kernels with such tools.You have experience integrating GPU kernels into frameworks like PyTorch, bridging the gap between high-level models and low-level hardware performance.You have a solid understanding of memory hierarchy and have optimized for compute and memory-bound workloads.You have implemented fine-grain optimizations for a target hardware, e.g. targeting tensor cores.Desired Experience:CUDACUTLASSC/C++PyTorch/TritonWhat You'll Actually Do:Write high-performance GPU kernels for inference workloads.Optimize alternative architectures used at Liquid across all model parameter sizes.Implement the latest techniques and ideas from research into low-level GPU kernels.Continuously monitor, profile, and improve the performance of our inference pipelines.What You'll Gain:Hands-on experience with state-of-the-art technology at a leading AI company.Deeper expertise in machine learning systems and performance optimization.Opportunity to bridge the gap between theoretical improvements in research and effective gains in practice.A collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMs.About Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have hands-on experience optimizing and deploying local LLMs - running models like Llama, Mistral or other open-source LLMs locally through tools like vLLM, Ollama or LM StudioYou're passionate about customizing ML models to solve real customer problems - from fine-tuning foundation models to optimizing them for specific use cases, you know how to make models work for unique requirementsYou have a knack for lightweight ML deployment and can architect solutions that work efficiently in resource-constrained environments - whether that's optimizing inference on CPUs, working with limited memory budgets, or deploying to edge devicesYou have a sharp eye for data quality and know what makes data effective - able to spot ineffective patterns in sample data, help design targeted synthetic datasets, and craft prompts that unlock the full potential of foundation models for specific use casesDesired Experience:You have customized an existing product for a customerYou're versatile across deployment scenarios - whether it's containerized cloud deployments, on-premise installations with strict security requirements, or optimized edge inference, you can make models work anywhereWhat You'll Actually Do:Own the complete deployment journey - from model customization to serving infrastructure, ensuring our solutions work flawlessly in variable customer environmentsDeploy AI systems to solve use cases others can not - implementing solutions that push beyond base LFMs can deliver and redefine what's possible with our technologyWork alongside our core engineering team to leverage and enhance our powerful toolkit of Liquid infrastructureWhat You'll Gain:The ability to shape how the world's most influential organizations adopt and deploy LFMs - you'll be hands-on building solutions for customers who are reimagining entire industriesOwn the complete journey of delivering ML solutions that matter - from model customization to deployment architecture to seeing your work drive real customer impactAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You want to play a critical role in our foundation model development process, focusing on consolidating, gathering, and generating high-quality text data for pretraining, midtraining, SFT, and preference optimizationRequired Experience:Experience Level: B.S. + 5 years experience or M.S. + 3 years experience or Ph.D. + 1 year of experienceDataset Engineering: Expertise in data curation, cleaning, augmentation, and synthetic data generation techniquesMachine Learning Expertise: Ability to write and debug models in popular ML frameworks, and experience working with LLMsSoftware Development: Strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable codeDesired Experience:M.S. or Ph.D. in Computer Science, Electrical Engineering, Math, or a related field.Experience fine-tuning or customizing LLMsFirst-author publications in top ML conferences (e.g. NeurIPS, ICML, ICLR).Contributions to popular open-source projectsWhat You'll Actually Do:Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of dataWatch out for the release of public dataset on huggingface and other platformsCreate crawlers to gather datasets from the web where public data is lackingWrite and maintain synthetic data generation pipelinesRun ablations to assess new dataset and judging pipelinesWhat You'll Gain:Hands-on experience with state-of-the-art technology at a leading AI companyA collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMsAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.This Role Is For You If:You have experience building large-scale production stacks for model serving.You have a solid understanding of ragged batching, dynamic load balancing, KV-cache management, and other multi-tenant serving techniques.You have experience with applying quantization strategies (e.g., FP8, INT4) while safeguarding model accuracy.You have deployed models in both single-GPU and multi-GPU environments and can diagnose performance issues across the stack.Desired Experience:PyTorchPythonModel-serving frameworks (e.g. TensorRT, vLLM, SGLang)What You'll Actually Do:Optimize and productionize the end-to-end pipeline for GPU model inference around Liquid Foundation Models (LFMs).Facilitate the development of next-generation Liquid Foundation Models from the lens of GPU inference.Profile and robustify the stack for different batching and serving requirements.Build and scale pipelines for test-time compute.What You'll Gain:Hands-on experience with state-of-the-art technology at a leading AI company.Deeper expertise in machine learning systems and efficient large model inference.Opportunity to scale pipelines that directly influence user latency and experience with Liquid's models.A collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMs.About Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role We are seeking a Senior Computer Vision Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies. You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments. This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence.   Responsibilities Design and implement algorithms for multi-camera object detection, classification, and persistent tracking. Build scene understanding modules to extract landmarks, spatial layout, and semantic context from image streams. Develop cross-camera fusion and localization methods for consistent identification and positioning of objects. Architect and deploy visual search systems using vector databases (e.g., OpenSearch, FAISS, Milvus) for image-based retrieval and matching. Design and implement re-ranking techniques to improve retrieval precision based on context, metadata, and scene cues. Create tools and metrics to evaluate retrieval quality, localization accuracy, and perception robustness. Collaborate across ML, backend, and infrastructure teams to ensure scalable, real-time deployment. Investigate system-level issues, drive debugging efforts, and improve model and system performance. Mentor junior engineers and contribute to long-term vision for perception, localization, and image retrieval.   Qualifications  M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field. 5+ years of industry experience in computer vision, image retrieval, or perception systems. Strong background in object detection, tracking, and scene understanding using multi-camera inputs. Deep understanding of vector-based retrieval systems and experience with OpenSearch, FAISS, or similar tools. Proficiency in Python or C++, with hands-on experience in PyTorch, TensorFlow, and OpenCV. Experience in building large-scale image retrieval pipelines, including feature extraction, indexing, and search optimization. Knowledge of multi-view geometry, and cross-camera identity association. Experience evaluating and tuning re-ranking strategies using contextual and multi-modal signals. Exposure to cloud-based deployment of search systems (e.g., OpenSearch cluster tuning, sharding, replication). Experience with edge deployment of perception pipelines (e.g., Jetson, Qualcomm). Publications or patents in the fields of visual search, localization, or multi-camera perception.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.What You’ll DoYou will act as a trusted advisor to our customers while also building relationships with technical stakeholdersWork alongside a Fiddler Delivery Manager to help deliver Fiddler onboarding services for our new customersYou will act as the “Voice of the Customer”; regularly engaging them on status calls, educating on product roadmap and QBRs, managing escalations, while influencing our roadmap in partnership with our Product teamBecome a Fiddler AI Observability product specialist in order to help customers utilize the platform to meet their observability needsEnsure technical success for customer onboarding by writing custom code to integrate with their data pipeline using tools like Snowflake, Airflow, MLFlow, S3, Kafka, etcDevelop Fiddler platform integration to expedite onboarding with data platforms, workflow tools, and ML platformSpearhead new opportunities in which Fiddler can provide the most value that will drive renewals and expansionWhat We’re Looking For2+ years of experience working with ML modelsFamiliarity with Kubernetes in the public Cloud environments (AWS, Azure, GCP)Knowledge of data science concepts, including developing interpretable machine learning model tools to be used in Fiddler’s productFamiliarity with tools used for structured and unstructured data like Hadoop, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLFlow, Luigi, Kubeflow, ArgoWorking knowledge of Generative AI, Large Language Models, and related concepts like agents, RAG, etc.Experience with coding, preferably in PythonExcellent organizational, communication, writing, and interpersonal skillsCuriosity, ownership, empathy towards customers, willingness to learn new things, and desire to inspire others are values we careThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud! We prioritize candidate safety. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to hr@fiddler.ai.

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role We are seeking a Senior Computer Vision Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies. You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments. This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence.   Responsibilities Design and implement algorithms for multi-camera object detection, classification, and persistent tracking. Build scene understanding modules to extract landmarks, spatial layout, and semantic context from image streams. Develop cross-camera fusion and localization methods for consistent identification and positioning of objects. Architect and deploy visual search systems using vector databases (e.g., OpenSearch, FAISS, Milvus) for image-based retrieval and matching. Design and implement re-ranking techniques to improve retrieval precision based on context, metadata, and scene cues. Create tools and metrics to evaluate retrieval quality, localization accuracy, and perception robustness. Collaborate across ML, backend, and infrastructure teams to ensure scalable, real-time deployment. Investigate system-level issues, drive debugging efforts, and improve model and system performance. Mentor junior engineers and contribute to long-term vision for perception, localization, and image retrieval.   Qualifications  M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field. 5+ years of industry experience in computer vision, image retrieval, or perception systems. Strong background in object detection, tracking, and scene understanding using multi-camera inputs. Deep understanding of vector-based retrieval systems and experience with OpenSearch, FAISS, or similar tools. Proficiency in Python or C++, with hands-on experience in PyTorch, TensorFlow, and OpenCV. Experience in building large-scale image retrieval pipelines, including feature extraction, indexing, and search optimization. Knowledge of multi-view geometry, and cross-camera identity association. Experience evaluating and tuning re-ranking strategies using contextual and multi-modal signals. Exposure to cloud-based deployment of search systems (e.g., OpenSearch cluster tuning, sharding, replication). Experience with edge deployment of perception pipelines (e.g., Jetson, Qualcomm). Publications or patents in the fields of visual search, localization, or multi-camera perception.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions.     Responsibilities Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, itracking, OCR, image search, and scene understanding. Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments. Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions. Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions. Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment. Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices. Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives. Mentor junior team members, providing technical guidance and fostering professional growth. Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning.     Qualifications  MS or PhD (preferred) in Computer Science, Engineering, or a related field, or equivalent work experience.   5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production. Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT). Experience with C++ is a plus.  Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile). Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes) Proven experience in building and maintaining data pipelines (e.g., Airflow).  Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins).   Excellent communication skills, capable of presenting complex technical information clearly.   Experience in high-growth, innovative environments is a plus.   Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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The Opportunity Are you an experienced Senior Software Engineer, Backend (Product) looking to make a significant impact at the intersection of scalable web services and cutting-edge AI technologies? We're seeking a talented engineer to lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As part of our dynamic engineering team, you'll collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that transform the experiences of end-user professionals and enterprise clients across diverse industries. Your Impact Leverage your extensive experience in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI-driven features. Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with Databases, e.g. MySQL, Cassandra, etc. Architect scalable solutions utilizing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows. Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics. Collaborate closely with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features. Communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure. Work directly on enterprise-grade integrations, developing scalable APIs, SSO connectors, and secure data exchange layers that enable seamless adoption of Otter’s platform within diverse customer environments, including CRMs, conferencing platforms, and compliance systems. We're looking for someone who Has 5+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems. Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field. Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure. Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++. Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows. Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads. Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms. Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams. Brings substantial production server experience or equivalent backend expertise to the table. Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail. Nice to haves Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations. Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services. About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $210,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role We are seeking a Senior Computer Vision Engineer to lead the development of advanced multi-camera perception and localization systems with an integrated focus on image-based search, vector database integration, and re-ranking strategies. You will design and build algorithms that combine object tracking, scene understanding, and cross-camera reasoning with scalable retrieval systems to power high-precision localization and visual matching across large-scale deployments. This role requires strong expertise in computer vision, real-time systems, and search infrastructure, with a focus on turning visual data into actionable spatial intelligence.   Responsibilities Design and implement algorithms for multi-camera object detection, classification, and persistent tracking. Build scene understanding modules to extract landmarks, spatial layout, and semantic context from image streams. Develop cross-camera fusion and localization methods for consistent identification and positioning of objects. Architect and deploy visual search systems using vector databases (e.g., OpenSearch, FAISS, Milvus) for image-based retrieval and matching. Design and implement re-ranking techniques to improve retrieval precision based on context, metadata, and scene cues. Create tools and metrics to evaluate retrieval quality, localization accuracy, and perception robustness. Collaborate across ML, backend, and infrastructure teams to ensure scalable, real-time deployment. Investigate system-level issues, drive debugging efforts, and improve model and system performance. Mentor junior engineers and contribute to long-term vision for perception, localization, and image retrieval.   Qualifications  M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field. 5+ years of industry experience in computer vision, image retrieval, or perception systems. Strong background in object detection, tracking, and scene understanding using multi-camera inputs. Deep understanding of vector-based retrieval systems and experience with OpenSearch, FAISS, or similar tools. Proficiency in Python or C++, with hands-on experience in PyTorch, TensorFlow, and OpenCV. Experience in building large-scale image retrieval pipelines, including feature extraction, indexing, and search optimization. Knowledge of multi-view geometry, and cross-camera identity association. Experience evaluating and tuning re-ranking strategies using contextual and multi-modal signals. Exposure to cloud-based deployment of search systems (e.g., OpenSearch cluster tuning, sharding, replication). Experience with edge deployment of perception pipelines (e.g., Jetson, Qualcomm). Publications or patents in the fields of visual search, localization, or multi-camera perception.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in San Fransisco, with the option to work out of our office.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 only 2 years old and scaling rapidly. 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. We are remote first with optional in-person offices in London, New York, San Francisco, Tokyo, and Warsaw.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.Co-working: If you’re not located near one of our main hubs, we offer a monthly coworking stipend.Annual company offsite: We bring the entire company together at a new location every year.About the role We’re looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth in Fortune 500 and large-scale enterprises across the United States. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies.In this role you will:Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goalsIdentify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiencyDevelop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trendsDemonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and moreDevelop and execute account strategies to expand ElevenLabs’ presence within key enterprise verticals (e.g., healthcare, government, finance).Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts.Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents.Requirements7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms.Proven success closing seven‑figure deals and managing complex sales cycles with multiple stakeholders.Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity.Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value.Strong executive presence and ability to build relationships at the C‑suite and board level.Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly.Passion for voice and audio AI and how it can unlock transformative value for customers.A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale#LI-remote

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TL;DR - We’re seeking exceptional Fullstack Product Engineers to help build the future of AI. You will work across our entire stack to build features that will empower the next generation of creators and builders.Why Lovable?Lovable lets anyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital 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 experience building and shipping full-stack productsFluent in modern frontend (React/TypeScript) and backend developmentSolid understanding of systems design, performance tradeoffs, and scalable architectureStrong product sense and ability to make well-reasoned technical decisions, knowing when to prioritize speed and when to invest in foundational workWhat you’ll doIn one sentence: Do all it takes to build a generational product and scale the core experience of lovable productsImplement and maintain features across the full stack: frontend, backend and infraOwn systems end-to-end: architecture, implementation, deployment, and iterationCollaborate closely with ML, design, and product teams to translate capabilities into intuitive, mind-blowing user experiencesDrive the full development lifecycle, from technical planning to production launch and post-release improvementsContribute to shaping our technical direction, eng culture, and product strategyOur tech stackWe're building with tools that both humans and AI love:Frontend: ReactBackend: 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 a recruiter.Complete a quick live coding exercise.Show us how you approach problems during several technical interviews.Tell us about your most impressive project.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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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role  We are seeking a Senior Computer Vision Test Engineer with a passion for quality, automation, and real-world impact. In this role, you will be responsible for designing, developing, and executing robust test strategies for cutting-edge perception systems.  At Metropolis, we build complex, distributed computer vision systems that span a wide range of platforms, from cameras and embedded edge devices to large-scale cloud infrastructures. These systems power, critical, real-time decisions across parking and new verticals. As a Senior Test Engineer, you will play a pivotal role in verifying that each component in this ecosystem functions correctly in isolation and as part of an integrated system. You’ll collaborate closely with engineers across software, hardware, and machine learning teams to define test coverage, develop test harnesses, and identify edge cases that impact performance in production. You will also help shape and improve our continuous integration pipelines and automated validation frameworks to support fast iteration and robust releases. Responsibilities Design and implement test plans, test cases, and test automation frameworks for computer vision and machine learning pipelines. Validate the end-to-end performance of CV applications such as object detection, classification, and tracking under diverse scenarios and edge cases. Analyze system-level behavior and KPIs (latency, accuracy, robustness) using metrics-driven methodologies. Develop tools for test data generation, synthetic validation, and visualization of perception outputs. Collaborate with software, ML, hardware, and QA teams to ensure end-to-end system validation and release readiness. Investigate, root-cause, and document bugs and issues across the perception stack. Drive continuous improvement in test coverage, test automation, and system reliability.   Qualifications  Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. 5+ years of hands-on experience in software or system testing, with at least 2 years focused on computer vision (CV), perception, or machine learning systems in production. Proficiency in Python and C++ for test automation and strong experience with unit testing frameworks like GTest or PyTest. Experience designing and implementing end-to-end test strategies for distributed systems, including using version control like Git and CI/CD pipelines like Jenkins or GitHub Actions. Solid understanding of computer vision concepts such as detection, tracking, segmentation, and 2D/3D geometry. Demonstrated experience testing perception or computer vision systems in real-world or hardware-in-the-loop (HIL) environments. Familiarity with common ML frameworks like PyTorch and TensorFlow, and CV libraries like OpenCV. Strong debugging, profiling, and log analysis skills, especially in embedded or real-world deployment environments. Experience with containerization tools like Docker and simulation platforms such as CARLA or NVIDIA Drive Sim. Excellent communication skills with a strong ownership mindset and the ability to work independently.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $180,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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TL;DR - We’re seeking exceptional Backend Product Engineers to help build the future of AI. You will work across our entire stack to build features that will empower the next generation of creators and builders.Why Lovable?Lovable lets anyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital 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 experience designing, building & scaling backend systems for production productsFluency in Go, Rust, or similar backend languages, plus strong API design skillsDeep understanding of distributed systems, scalability, reliability, and performance tradeoffsProven experience integrating with frontend and ML systems to deliver product featuresStrong product instincts: you know how to balance fast delivery with building for the long termWhat you’ll doIn one sentence: Build and scale the backbone of Lovable products, ensuring they’re fast, reliable, and ready to support millions of usersDesign, implement, and maintain backend services, APIs, and infrastructure componentsOwn backend systems end-to-end: architecture, implementation, deployment, monitoring, and iterationCollaborate with frontend, ML, and product teams to translate ideas into robust, scalable featuresContribute to shaping our backend architecture, engineering culture, and technical strategyOur tech stackWe're building with tools that both humans and AI love:Frontend: ReactBackend: 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 recruiter.Complete the general programming exercise.Show us how you approach problems during several technical interviews.Tell us about your most impressive project.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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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’re hiring Helix Operators to support our humanoid robot development efforts. This role begins as a hands-on, full-time one-month contract as a Data Collector, where you’ll wear sensors provided by Figure to guide and collect motion data that trains our robots. It’s a great opportunity for anyone excited to get into robotics and grow from within. Depending on your performance, skills, and interests, you may grow into longer-term roles like Robot Operator, Pilot Support, or even a full Humanoid Pilot role. Shift: 8:30 AM – 5:00 PM (Monday to Friday)   Responsibilities:  Wear sensor equipment to guide the robot through human-like motions Collect high-quality motion data used to train AI models Flag any issues or bugs during collection and share daily feedback with the team Follow proper equipment and robot maintenance procedures, including setup and shutdown Maintain a safe and organized workspace during all operations Requirements:  Excellent physical coordination, spatial awareness, and focus Stay on your feet for 8+ hours a day and be engaged for extended periods during data collection Master new physical tasks quickly and find the optimal way to perform them Embrace constructive feedback and strive for constant improvement Thrive in a fast paced environment Bonus Qualifications: Experience working with robots or troubleshooting mechanical systems A passion for helping scale the deployment of learning humanoid robots This is a one-month contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us. The US base salary range for this full-time position starts at $30/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.