Production Line Management Engineer Jobs

MyPrize is a fast-growing online casino platform building multiplayer, creator-led, and community-driven gaming experiences. Players can join their favorite creators and friends in shared sessions that blend the best of gaming, streaming, and social interaction. We’re seeking a Senior Product Designer to join our Product team full time. This is an opportunity to shape the future of social casino entertainment by designing high-impact experiences across web and mobile for a rapidly growing user base. What you will do at MyPrize: Own design for major product initiatives from concept through launch Turn complex product, technical, and business problems into intuitive and engaging user experiences Design end-to-end flows across acquisition, onboarding, payments, gameplay, rewards, and retention Partner closely with product, engineering, marketing, and leadership to define roadmap priorities and ship quickly Create wireframes, polished UI, prototypes, and production-ready specs in Figma Evolve and maintain the MyPrize design system and component library Use data, user feedback, and experimentation results to iterate and improve outcomes Help raise the overall quality bar for motion, interaction design, and product thinking What you bring to MyPrize: 3–5+ years of product design experience shipping consumer products Strong portfolio demonstrating end-to-end thinking and high visual craft Experience designing for web and iOS Excellent product judgment and user-centered design instincts Strong interaction design, systems thinking, and attention to detail High proficiency in Figma and rapid prototyping Comfortable operating in a fast-moving startup environment with ambiguity Strong communication skills and ability to influence cross-functional partners A versatile portfolio that showcases your end-to-end design process with emphasis on high quality visual design, micro-interactions and motion design Gold Stars: Motion / animation experience Experience in gaming, casino

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Senior Mechanical Engineer – Haircare Needham, MA Build the Products People Reach for Every Morning Personal care is one of SharkNinja's fastest-growing categories — and the Shark Engineering team is at the center of it. We're looking for a Mechanical Engineer II to help design and develop the next generation of haircare products: things that work better, feel better, and genuinely improve people's daily routines. This is a hands-on role with real creative latitude. You'll work across the full product lifecycle — from initial concept through mass production — on a team that moves fast, prototypes early, and takes consumer experience seriously at every stage. What You'll Do You'll be a core contributor on a cross-functional engineering team, owning design problems from first principles through manufacturable solutions. Define product architecture on innovative new haircare p

MeltPlan | Planning Engine for the Built Environment MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders. MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution. What This Role Really Is We are looking for an AI Research Scientist – Computer Vision to enhance and manage the PlanGraph model, which transforms 2D drawings into structured graphical representations of building elements. The role involves solving downstream business use cases such as quantity takeoff, code compliance, value engineering, and constructability analysis.We are specifically looking for hands-on researchers with experience in solving real-world Computer Vision problems and building custom vision models, VLMs, or VLLMs for production-grade applications. What You’ll Do Build and optimize custom Computer Vision models, VLMs, and VLLMs for construction intelligence workflows. Solve downstream business use cases including quantity takeoff, code complianc

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Compute is our newly launched microVM architecture for running agentic workloads, operating alongside our existing Edge Functions service for server-side TypeScript functions distributed globally at the edge. We want developers to be able to build truly global applications by distributing both compute and data globally. Infrastructure concerns like regions, cold starts, CPU and memory provisioning should fade into the background so developers can focus on iterating on business logic, and fast, flexible runtimes a growing range of agent-driven code. We are looking for experienced and passionate engineers to help us go further in this vision. What You’ll Own Help build & architect the Supabase Compute platform, built on Firecracker microVMs. Implementing monitoring, alerting, and OpenTelemetry tracing across the runtime, then using that visibility to drive optimizations that improve latency and reliability of the service. Working closely with the Firecracker, Deno, and other open-source teams, contributing to upstream and relaying our users' requirements. Participating in an on-call rotation to keep Compute healthy in production. Help manage and improve features like scheduled functions, background tasks, WebSockets streaming, ephemeral file storage, and custom routing. Integrating Compute more tightly with the rest of the Supabase stack — Auth, Postgres, Storage, and Realtime. Expanding the Compute runtime to support more use cases (AI inference, MCP servers, hosting simple websites, URL shorteners). Improving the DX of developing and debugging Compute locally through the Supabase CLI, including DevTools integration, logging, and production parity. What You’ll Bring At least 5 years of backe

CSQ427R142 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. This position will report to Director, FDE in Korea. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer ne

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-thei

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Why We Work at Dun & Bradstreet We are at a transformational moment in our company journey - and we’re so excited about it. Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth. Our purpose is to help customers improve business performance with Dun & Bradstreet’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose. So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us! The Role: We are looking for an experienced AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization. The ideal candidate will have strong hands on expertise in Python, PySpark, agentic workflow development, and modern GenAI frameworks, with experience building scalable applications using LLMs, retrieval systems, and automation pipelines. You will work closely with data scientists, MLOps engineers, and business stakeholders to build intelligent, production grade systems that power

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking a Staff Software Engineer with AI/ML background to join our Reference Data team. The reference data team at Addepar is responsible to manage the data reconciliation and curation process for market data providers to build a single source of truth and provide alignment across public and alternative investment data products for the client to manage their investment portfolio. As an engineer on the team you will partner with product teams at Addepar to understand their business needs. The team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. You will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. Applicants must have, and maintain, the right to work in the United Kin

Toast is a rapidly growing company that's revolutionizing how the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive. We’re looking for a Senior Software Engineer to join in building the Scheduling product as part of Toast’s Team Management Suite for restaurant employers. You’ll play a key roll* in the design, development, and delivery of scalable software solutions that enable restaurant owners to build an optimal labor plan that balances interests in profitability, employee’s desire for predictability and flexibility, and guest satisfaction. About this roll*: As a Software Engineer on our team, you will: Build, run, and improve core backend systems alongside a collaborative, supportive team. Take end-to-end ownership of systems, contributing to a strong engineering culture focused on quality, reliability, and long-term maintainability Lead work across the full development lifecycle—design, estimation, implementation, testing, debugging, and deployment—while learning and applying best practices for building and operating reliable systems at scale. Ship code that directly impacts Toast’s growth and the day-to-day operations of restaurant teams Partner with product and design to influence what we build and how we build it Contribute to and elevate team standards through thoughtful code reviews and technical discussions Mentor and provide technical guidance to other team members Do you have the right ingredients*? 5+ years of back-end experience with one or more object-oriented programming languages (such as Java, Kotlin, or similar). Experience owning and operating production

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year. WHAT YOU'LL WORK ON Every year, trillions of dollars move through real estate transactions, yet the industry still relies on outdated, fragmented payment systems that slow real estate closings and create risk. Qualia sits at the center of the real estate closing workflow, and now we're building payments infrastructure integrated directly into the Closings experience. As Senior Product Manager for Payments, you will own the vision, roadmap, and execution of this product from the ground up. You will drive the development of end-to-end payment flows, introduce new payment rails, and deliver an experience that delights our customers and end users. If you have built payments products and want a rare opportunity to define an entirely new category, then this could be the perfect opportunity. RESPONSIBILITIES Own the end-to-end payments product strategy, right from assessing market opportunities and defining the vision to shipping and iterating in production Partner with Design to craft a best-in-class payments experience tailored to the unique demands of real estate closings Integrate with multiple payment rails to maximize speed, optionality, and value for customers Collaborate with Engineering and Design to break ambitious goals into shippable, iterable milestones that deliver value fast Work with cross-functional teams such as Strategy, Legal, Risk, Operations, Bank Partners, and Product Marketin

About eClinical Solutions eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies . If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it. You will make an impact: As a Senior Software Engineer, AI Enabled Platforms will be a member of the elluminate product development team. elluminate is a next generation data integration and analytics cloud platform that enables life sciences organizations to optimize the aggregation, standardization, and analysis of their data throughout the clinical development life cycle. You are primarily responsible for the design and development of core modules for the platform and will be involved in all phases of the software development lifecycle such as reviewing functional specifications, design, development, unit testing, code reviews and release management. This role is ideal for an experienced engineer who enjoys hands-on development , mentoring others, and bringing modern capabilities—including AI-assisted and agentic workflows—into production-grade systems . Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: Design, develop, test, and deploy scalable, secure, and highly interactive web applications Own and evolve core platform modules , from concept through release and support Influence application and system architecture with a focus on performance, reliabilit

About Voyage AI Team at MongoDB Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions. Position Overview We are seeking a Senior Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model. Responsibilities Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers Innovate in next-generation information retrieval and LLM agent paradigm Collaborate closely with other research scientists and research engineers as well as peers across the organization Qualifications PhD degree in Computer Science or related field Strong background in machine learning, deep learning, and natural language processing Familiarity with training distributed training of neural networks for language and visual understanding What We Offer Opportunity to work on real-world problems at the cutting edge of AI research Opportunity to utilize research vision to innovate the entire company and make real-world impact Exposure to the full lifecycle of AI model development, from research to production Our compensation (base + equity) for this position is competitive with frontier AI labs About MongoDB

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're looking for a world-class Engineering Program Manager to lead system builds for our AI consumer products, from early local prototypes through Proto, xVT, ramp, and launch. You'll partner closely with every engineering discipline to architect and execute builds that cover all validation needs and run efficiently on the floor. Location is flexible, with up to 30% in-region travel to ensure every build runs as planned. Requirements 6+ years executing and shipping high technology consumer electronics systems at large OEMs BS in Electrical, Mechanical, or related engineering discipline Proven track record leading hardware builds end-to-end with contract manufacturers, and driving critical supply chain components Experience with high technology manufacturing processes, component lead times, PCB technologies Experience driving programs through prototype, xVT, ramp, and mass production Excellent interpersonal communication and information visualization skills Ability to travel in-region including extended stays during critical builds Responsibilities Lead build planning and execution from early local prototypes through Proto, xVT, ramp, and launch Collaborate closely with EE, ME, SI, RF, thermal, and reliability teams to strateg

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We’re looking for an experienced Audio Firmware Engineer to develop and optimize embedded audio solutions on Hark’s next-gen AI device. This role spans audio system bring-up, DSP algorithms development, integration and optimization, and deployment of advanced audio/AI features for consumer devices. The ideal candidate should be comfortable developing, integrating, debugging, tuning, and validating audio algorithms on an embedded production platform. Responsibilities Bring up audio processing stack on new hardware, drive implementation and integrations of audio processing pipeline Debug complex audio issues end-to-end using platform logs, working from kernel and DSP traces up through application-level symptoms Partner with the AI team to support audio-driven inference workloads (wake word, ASR, speech enhancement) within latency, power, and memory budgets Collaborate with hardware, acoustics, and product teams from prototype through production to ship audio that feels effortless to users Requirements 5+ years of professional firmware or embedded audio development, ideally on consumer products that have shipped at scale Experience with core Audio DSP algorithms and their implementations, including AEC, Beamforming, NR, AGC, VAD, DoA e

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product. Open Problems The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved. Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end. Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up. Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet. Your focus will shift across these depending on where the highest-leverage work is at any given time. What you will do Design and ship production ML systems across Chakra, integrity, and evaluation domains. Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration. Build evaluation infrastructure and bench