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Join our Generative AI focus team to innovate Software Development at Amazon Are you ready to be part of a team that's redefining the future of software engineering? Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale. 🎯 Our Mission We’re building the next generation of development tools — uncovering how LLMs can originate new ways of thinking, building, and collaborating. 💫 What Makes Us Different • Ground-floor opportunity to shape the future of software development, • Direct impact on Amazon's global engineering practices, • Working with the latest technologies and large language models, • Culture of experimentation and innovative thinking 🔍 What We’re Looking For You’ll lead the research, design, and development of AI technologies that challenge conventional software practices and uncover new ways for engineers to build and collaborate. You’re comfortable working in ambiguous spaces, exploring emergent behaviors, and collaborating with designers, prototypers, and engineers to test hypotheses in live, evolving systems. You explore where LLMs behave in unexpected yet promising ways, especially in tasks like context retention, code reasoning, or agent behavior , and use those moments to uncover new AI-native workflows. We’re looking for applied scientists with experience in areas like: • Information retrieval, • Context and memory modeling, • Agent behavior and autonomy, • Code understanding and generation, • Human-AI interaction 💡 What You'll Do • Prototype new ways of working with LLMs in engineering workflows, • Help shape and evaluate scientific approaches behind agentic systems and engineering tools, • Move fast with engineers and prototypers to guide design decisions and model choices, • Make sense of unexpected model behavior and guide what to try next 🌱 Impact Your work will surface where LLMs can meaningfully change how Amazon engineers build. You’ll help the team uncover which surprises are worth pursuing and where to push beyond what’s already known. ✨ Always find a way 🔮💎🍔⭐️ • 3+ years of building machine learning models for business application experience, • PhD, or Master's degree and 6+ years of applied research experience, • Experience in patents or publications at top-tier peer-reviewed conferences or journals, • Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java), • Previous work on agents or LLMs, • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc., • Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are seeking a Senior Applied Scientist to drive innovation in machine learning and artificial intelligence for Amazon's autonomous delivery systems. In this role, you will develop novel algorithms and models that power our autonomous vehicle perception, prediction, and decision-making systems. You will combine rigorous scientific methodology with practical engineering to solve complex problems in real-world autonomous navigation and delivery. Key job responsibilities • Design and develop advanced machine learning models and algorithms for autonomous vehicle systems, • Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning, • Transform research concepts into production-ready solutions that meet strict safety and performance requirements, • Develop novel approaches to solve complex technical challenges in autonomous navigation, • Create and implement metrics and evaluation frameworks to measure model performance, • Collaborate with engineering teams to integrate ML solutions into the autonomous vehicle stack, • Publish research findings and represent Amazon at technical conferences, • Mentor junior scientists and contribute to building a culture of scientific excellence A day in the life A typical day for a Senior Applied Scientist begins with analyzing experimental results from recent model deployments. They might spend the morning developing new deep learning architectures for sensor fusion or improving prediction models for pedestrian behavior. Mid-day could involve collaborating with engineering teams to optimize model performance and reduce inference latency. Afternoon activities might include designing experiments to validate new approaches, reviewing research papers for potential application, and participating in technical discussions to solve challenging problems in perception or planning. They would regularly engage in code reviews, documentation of methods, and mentoring of team members. The role requires balancing innovative research with practical implementation, ensuring that scientific advances translate into reliable autonomous system capabilities. About the team The Applied Science team within Amazon's Last Mile Delivery Automation organization focuses on developing cutting-edge machine learning solutions for autonomous systems. We work at the intersection of computer vision, deep learning, robotics, and control systems to create robust and scalable algorithms that enable safe autonomous operation. Our team combines expertise from diverse scientific backgrounds to tackle fundamental challenges in perception, prediction, and decision-making. We collaborate closely with software engineering teams to deploy our solutions across Amazon's autonomous delivery fleet. • 3+ years of building machine learning models for business application experience, • PhD, or Master's degree and 6+ years of applied research experience, • Experience programming in Java, C++, Python or related language, • Experience with neural deep learning methods and machine learning, • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc., • Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges, • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production, • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder, • Provide customer and market feedback to product and engineering teams to help define product direction About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. • Bachelor's degree in computer science, engineering, mathematics or equivalent, • 5+ years experience in designing, building, and/or operating cloud solutions in a production environment, • 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference), • 4+ years of hands on experience with Python to build, train, and evaluate models, • 4+ years of technical client engagement experience, • Masters or PhD degree in computer science, or related technical, math, or scientific field, • 3+ years experience working with deep learning, machine learning, generative AI, or statistics, • Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker., • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients, • Experience building cloud solutions with AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. We are looking for a Senior Machine Learning Engineer Target Total Compensation: $300,000 - $325,000, including a fixed annual salary of $200,000 - $225,000, employee equity grant, and world-class benefits. As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, budget pacing, lookalike modelling, and more. What You’ll Do • Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc., • Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc., • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions. About You: • Masters or PhD in Machine Learning, • 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring, • Good Knowledge in AWS, Kubeflow (or similar), Tensorflow and Feature Store in a production environment., • Good knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionCompany Description We’re a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. Job Description Logic20/20 is seeking a Lead Machine Learning Engineer to lead and support data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through application of machine learning models. What you’ll do: • Lead conceptual designs and create frameworks to predict a variety of outcomes in different scenarios, • Build, deploy, and optimize machine learning models, • Collaborate with other data scientists and stakeholders on projects, • Develop solutions in R or Python, • Develop production-grade solutions, • Work in Hadoop, Redshift, and Spark, • Translate business and product questions into analytics projects The Logic20/20 Advanced Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it's all in a day's work. As part of our team, you'll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you're ready to level up in your career, you'll have access to the training, the project opportunities, and the mentorship to get you where you want to go. "We build an environment where we really operate as one team, building up each other's careers and capabilities." – Adam Cornille, Senior Director, Advanced Analytics Qualifications Required: • 10-15 years of experience as a machine learning (MLOps), data, and/or software engineer using Python in a production environment, • Experience building, deploying, and optimizing machine learning models, • Strong experience with AWS: AWS Glue, Sagemaker, • Strong experience with Terraform, • Strong CI/CD experience, • Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing and deployment, • Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc., • Knowledge of statistics and Machine Learning techniques, • Experience with GitHub, • Master's degree/PhD in computer science or related field, • Ability to build enterprise templates, • Ability to model dashboards, • Ability to monitor models in production, • Azure DevOps, • Ability to implement best practices Additional Information At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $150,000 - 180,000. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives. All your information will be kept confidential according to EEO guidelines. Learn more about life at Logic20/20! Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career! Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at . Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.

Job DescriptionWho we are 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. Who you are 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. What you'll do • 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 learningWhat we're looking for, • 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), • 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 clearlyWhile not required, these are a plus:, • Experience with C++ is a plus, • Experience in high-growth, innovative environments is a plus Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. 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.

Job DescriptionKapta Space, a VC-funded early-stage startup in Seattle, WA, is breaking new ground in Geospatial Intelligence. Our technology centers around a proven, scalable electronically-steered radar for sophisticated spaceborne applications such as earth observation using synthetic aperture radar (SAR) techniques, as well as enabling advanced defense missions such as target tracking. Kapta is seeking a Senior Antenna Engineer to lead the development of our radar antenna systems. The antenna engineer will be responsible for design, build and test of high frequency and millimeter wave electronically scanned antennas in collaboration with diverse engineering disciplines. This position requires a strong, self-driven engineer capable of working independently in a fast-paced, multi-disciplinary environment. The candidate must have a demonstrated capability to apply advanced technical principles, theories and concepts. The ideal candidate must have the drive and experience to complete projects independently and on time. You Are the Right Fit for the Role at Kapta Space If: • You are able to work as a member of a multi-disciplinary team in creating radar system and antenna requirements, • You have previously designed high-performance antenna systems and microwave circuits for use in c-SWaP-constrained systems, • Can develop tools for antenna and RF performance analysis within the larger radar system, • You are able to fabricate and test antenna systems and integrated radars. Also, you are comfortable working with vendors and suppliers to meet performance and requirements, • Test what you build! You can take measurements and perform analysis of antenna and radar systems, and incorporate test data into system-level performance analysis, • You have the ability to optimize and calibrate antennas and antenna arrays for key performance metrics, including gain, side lobes, and polarization purity over frequency and scan angle, • You can shift into a customer-facing mode and engage with customers to demonstrate and evaluate antenna and radar systems for new applications and emergent spaceborne missions, • You are able to implement and test antenna control algorithms for advanced performance modes, • BS, MS, or PhD degree in electrical engineering, physics or related discipline, • Onsite role in Seattle, WA, with intermittent work travel required (less than 10%), • 7+ years of experience in RF and antenna design for radar or communications applications, • Familiarity with phased-array design principles and digital beamforming (DBF), • Proficient use of commercial EM solvers for large-scale electromagnetic simulations, such as HFSS, • Familiarity with high-density PCB-based antenna design and fabrication, • Build a strong culture of technical excellence, innovation and ownership, • Eligible to obtain and maintain an active U.S. Top Secret/SCI security clearanceBonus if candidates have experience and skills in the following areas:, • Spaceborne antenna system design experience, including deployable antennas and structural and thermal design considerations, • Familiarity with radar systems, signal processing, high-power electronics and thermal design, • Previous experience designing metamaterial or traveling wave feed antennas, • Familiarity with RFICs and custom ASICs, • RF systems at Ku-band and higher frequencies

Job DescriptionAre you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry. Now, we’re growing—and looking for passionate engineers to help shape the future.The Role • We’re seeking a Senior Machine Learning Engineer to help orchestrate and scale the entire ML lifecycle at Cognitiv. As we transition from a legacy platform to a modern, automated, and highly scalable system, this role will be central in shaping the next generation of our ML infrastructure., • You’ll own automation across data ingestion, model training, deployment, and monitoring, enabling rapid experimentation and iterative refinement while maintaining operational excellence. This is a high-impact opportunity to reduce bottlenecks, streamline workflows, and drive architectural improvements that power a wide variety of models critical to Cognitiv’s growth.What You'll Do, • Own the entire ML lifecycle—from data exploration and model development to deployment, monitoring, and continuous improvement., • Build and maintain scalable data pipelines and infrastructure to support automated model training, evaluation, deployment, and lifecycle management., • Redesign and optimize systems to handle scalability challenges and complex workflows., • Collaborate cross-functionally with product, engineering, operations, and ML teams to drive alignment and impact., • Take ownership of core codebases while mentoring and supporting junior engineers.Tech Stack, • Languages/Frameworks: Python (primary), PyTorch Lightning, • Cloud/Infra: AWS, Docker, Apache Airflow, • Data: ClickHouse, S3, distributed data processing tools, • Models: Deep Learning, LLMs, Hugging Face ecosystemWho You Are, • Senior Engineer – You’ve delivered complex systems end-to-end and write strong, production-level Python., • MLOps expertise – You’re skilled in ML automation, infrastructure at scale, and building robust pipelines., • Deep learning practitioner – You’re hands-on with PyTorch (ideally PyTorch Lightning) and familiar with LLMs and the Hugging Face ecosystem., • Cloud & infra fluent – You know AWS, Docker, and Airflow, and you’re comfortable managing TB-scale data., • Architect + builder – You think strategically about long-term system design while still rolling up your sleeves to code., • Owner mindset – You take full responsibility for production codebases and drive them forward independently., • Resilient & gritty – You thrive in ambiguity, manage competing priorities, and push through obstacles., • Strong communicator – You collaborate effectively across technical and non-technical stakeholders, resolving conflicts productively., • In-person collaborator – You want to work onsite MTW in Bellevue, WA.Bonus Points If You Have, • Startup or AdTech experience., • Experience with ClickHouse or other high-performance analytical databases., • Familiarity with PySpark or distributed processing., • Low-latency model serving experience., • Advanced degree (MS/PhD) in a relevant field., • Strong C++ programming background.What You’ll Find at Cognitiv, • Festiv – We make work fun with cross-team games, events, and creative team bonding., • Responsiv – You’ll be close to clients and leadership, influencing real outcomes., • Inclusiv – Diversity and individuality are celebrated across all levels., • Inventiv – We reward curiosity and embrace bold ideas., • Transformativ – We support your growth with training, mentorship, and flexibility., • Collaborativ – We operate across coasts, connected by purpose and teamwork.Location & Compensation, • Medical, dental & vision coverage (some plans 100% employer-paid), • 12 weeks paid parental leave, • Unlimited PTO + Work-From-Anywhere August, • Career development with clear advancement paths, • Equity for all employees, • Hybrid work model & daily team lunch, • Health & wellness stipend + cell phone reimbursement, • 401(k) with employer match, • Parking (CA & WA offices) & pre-tax commuter benefits, • Employee Assistance Program

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description We are looking for a versatile, curious, and energetic Principal Data Scientist to join our team of passionate and dedicated engineers. We are the backbone for innovative data science and artificial intelligence developments at Visa and we thrive on solving complex challenges on a global scale! As a Principal Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base. You will face big challenges and question the status quo, changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments. The focus is on defining, executing, and delivering product and technical features at scale quickly and promoting a diverse culture of cross-functional collaboration and engineering excellence. Be an idea leader and bring industry best practices to benefit the team and the wider organization. The ability to balance demanding business capabilities with building for operational excellence while meeting regulatory, security and privacy requirements. Ability to quickly grasp and evaluate new ideas and technologies from internal and external sources. Lead/Influence multiple teams, matching them with appropriate technology and business problems while building a culture of both innovation and drive for excellence. Transform our digital offerings by leveraging AI to enhance our current product line and develop exciting new products targeting our banking, fintech and integration partners, which will enable the next wave of innovation in payments. We need a strong technology leader, who is an expert in data science, agile delivery, building purpose driven teams, and has a background in complex integration projects. Prior experience in payments, or a background in building high volume transaction and data processing systems is preferred. The successful candidate will be comfortable navigating the challenging dynamic payments space and leading global teams responsible for platform transformation efforts. This candidate will play a pivotal role in our continued embrace of AI, seeking new paths to revenue by improving delivery efficiency and pushing forward for new products. Essential Functions: • Provides technical expertise and mentors others to implement extensible, maintainable, and reusable code, defines framework, principles, coding patterns, guidelines, styles, and standard methodologies, and adheres to all security requirements for the application of artificial intelligence and data science., • Develops strategies for and leads team's efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence., • Ensures adherence to data management principles, governance, process, and tools to maintain data quality across products., • Advises on technical specifications during discussions with collaborators (e.g., Product owners, business partners, Cybersecurity) to identify and clarify sophisticated technical or business requirements and identify business needs and upstream and/or downstream system/application dependencies., • Defines technical standards for the design and documents the architecture for a complex product, using existing architecture design patterns., • Oversees and establishes unit testing requirements of unit testing to confirm functional capability of code, acts as subject matter expert in testing for coding standards and security scans, strategically leads user acceptance testing in collaboration with customer across multiple domains. Basic Qualifications: • 12+ years of relevant work experience with a Bachelor’s Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience. Preferred Qualifications: • 15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience, • Six (6) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS)., • Four (4) years of experience designing, implementing, and maintaining ETL pipelines., • Three (3) years of experience building and pushing code into production., • Three (3) years of experience implementing and supporting real-time systems., • Expert in at least one of the following: Golang, Java, or C/C++, • Expert with web service standards and related patterns (REST, gRPC)., • Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low latency, & strong data consistency computing., • Experience implementing solutions for low-latency, distributed services using open standard technologies., • Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 207,500.00 to 301,250.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Impinj is a leading RAIN RFID provider and Internet of Things pioneer. We're inventing ways to connect every thing to the Internet — including retail apparel, retail general merchandise, healthcare items, automobile parts, airline baggage, food and much more. With more than 100 billion items connected to date, and multiple Fortune 500 enterprises around the world using our platform, we solve for a better understanding of our world. If it's a thing, we're working to connect it. Join Impinj and help us realize our vision of a boundless IoT— connecting trillions of everyday items to the Internet. Team Overview: We are seeking a talented and experienced Staff Analog IC Design Engineer to join our team focused on the development of next-generation RFID tag integrated circuits. In this role, you will contribute to the design and optimization of ultra-low-power analog and mixed-signal circuits used in passive and active RFID systems. What You Will Do: • Own the design of analog and mixed-signal blocks such as rectifiers, regulators, oscillators, ADCs, comparators, and analog front-ends for RFID tags, while understanding system-level analysis and trade-offs in collaboration with digital, RF, and verification teams, • Drive transistor-level design, simulation, layout supervision, and post-layout verification (PEX/LVS/DRC), • Ensure successful silicon implementation by validating analog IP in the lab—owning hands-on debugging, characterization, and issue resolution as needed to confirm that designs meet performance expectations in hardware, • Own and create design reviews and design documentation, and support tape out processes, • Collaborate effectively on designs with peers, leads, and management; communicate effectively and clearly about relevant technical challenges and progressWhat You Will Bring:, • Bachelor's degree in engineering with 8+ years of hands-on experience in analog/mixed-signal IC design, preferably in low-power and energy-harvesting applications; Master's or PhD in engineering preferred, • High Proficient with industry-standard EDA tools (e.g., Cadence Virtuoso, Spectre, LSF, SVN, Siemens Calibre, etc.), • Strong understanding of analog, RF, and mixed-signal IC design and verification fundamentals including transistor theories (e.g. doping, gate oxide thickness, sub-threshold operation, gain, linearity, noise, matching, stability, etc.), • Understanding debug and characterization, and layout-aware IC design., • Effective communication and collaboration skills with peers and management, • Experience with lab equipment (oscilloscope, VNA, etc.) for silicon validation and debug, • Preferred skill in ultra-low-power design techniques, • Familiarity with digital-analog co-design and mixed-signal verification The typical base pay range for this role across the US is $136,000 - $204,000. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time. At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others. For a more comprehensive list of US employment benefits, click here. US Export Controls: This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here. Why work at Impinj: Know you're making a difference. Competitive benefits. Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj provides an environment that fosters openness and innovation and is developing technology that delivers a positive impact on the world. Collaboration and teamwork are highly valued, and accomplishments are duly celebrated. We have an open paid time-off policy paired with a respect for work/life balance. Our headquarters is located in Seattle with spectacular views of the Olympics, Lake Union, and Mt Baker, which can be enjoyed from our rooftop deck. Our Brazilian site is in Porto Alegre, Rio Grande do Sul state, at "Tecnopuc," a technology park that offers a very nice workplace for the development of groundbreaking technologies. Impinj is committed to creating a diverse and inclusive work environment and welcomes applicants from all backgrounds. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job DescriptionAt Extreme Networks, we create effortless networking experiences that empower people and organizations to advance. As part of our growing AI Competence Center, we are seeking a Senior AI/ML Engineerwith expertise in Generative AI, multi-agent systems, and LLM-based application development. In this role, you will help build the next generation of AI-native systems that combine traditional machine learning, generative models, and autonomous agents. Your work will power intelligent, real-time decisions for network design, optimization, security, and support. Key Responsibilities • Design and implement the business logic and modeling that governs agent behavior, including decision-making workflows, tool usage, and interaction policies., • Develop and refine LLM-driven agents using prompt engineering, retrieval-augmented generation (RAG), fine-tuning, or function calling., • Understand and model the domain knowledge behind each agent: engage with network engineers, learn the operational context, and encode this understanding into effective agent behavior., • Apply traditional ML modeling techniques (classification, regression, clustering, anomaly detection) to enrich agent capabilities., • Contribute to the data engineering pipeline that feeds agents, including data extraction, transformation, and semantic chunking., • Build modular, reusable AI components and integrate them with backend APIs, vector stores, and network telemetry pipelines., • Collaborate with other AI engineers to create multi-agent workflows, including planning, refinement, execution, and escalation steps., • Translate GenAI prototypes into production-grade, scalable, and testable services in collaboration with platform and engineering teams., • Work with frontend developers to design agent experiences and contribute to UX interactions with human-in-the-loop feedback., • Stay up to date on trends in LLM architectures, agent frameworks, evaluation strategies, and GenAI standards. Qualifications, • Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field., • 5+ years of experience in ML/AI engineering, including 2+ years working with transformer models or LLM systems., • Strong knowledge of ML fundamentals, with hands-on experience building and deploying traditional ML models., • Solid programming skills in Python, with experience integrating AI modules into cloud-native microservices., • Experience with LLM frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Haystack), and vector databases (e.g., FAISS, Weaviate, Pinecone)., • Familiarity with prompt engineering techniques for system design, memory management, instruction tuning, and tool-use chaining., • Strong understanding of RAG architectures, including semantic chunking, metadata design, and hybrid retrieval., • Hands-on experience with data preprocessing, ETL workflows, and embedding generation., • Proven ability to work with cloud platforms like AWS or Azure for model deployment, data storage, and orchestration., • Excellent collaboration and communication skills, including cross-functional work with product managers, network engineers, and backend teams. Nice to Have, • Experience with LLMOps tools, open-source agent frameworks, or orchestration libraries ., • Familiarity with Docker, Docker Compose, and container-based development environments., • Background in enterprise networking, SD-WAN, or network observability tools., • Contributions to open-source AI or GenAI libraries.

Job DescriptionOur Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots! In this role, you will: • Design and build a scalable, efficient, and robust robotaxis dispatch service., • Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques., • Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems., • Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency., • Integrate optimization algorithms into the robotaxi platform., • Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field., • Proven experience in algorithm development, with a strong emphasis on operational research methodologies., • Proficiency in programming languages like Python, Java or Kotlin, or C++., • Solid background in machine learning, AI, operational research, and data analysis., • Passion for learning new technologies, domains, and challenging the status quo., • Strong mathematics skills., • Exceptional problem-solving, analytical, and quantitative skills.Bonus Qualification, • PhD in Operations Research, Computer Science, or a related field with a focus on optimization algorithms or AI., • Experience with GIS and mapping software., • Experience in transportation, logistics, or autonomous vehicles., • Experience in building/using fleet simulation tools., • Ability to lead through ambiguity and work with diverse stakeholders., • Ability to Iterate quickly and efficiently on building end-to-end experiences., • Experience handling large data sets and scaling service horizontally to a large number of users., • Experience developing cloud services and an understanding of design for scalability, performance and reliability., • Knowledge about microservice design patterns and DB access., • Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description Senior Neural Network Kernel Software Development Engineer Our client is making substantial investments in software to enhance the seamless deployment of neural networks on their hardware, streamlining the experience for researchers and developers. The focus involves the optimization of various common neural networks for optimal performance on architectures, facilitated by the software optimization tool flow. We are seeking software developers who are driven and naturally curious. The chosen candidate will contribute within agile teams, working closely with senior software engineers for mentorship. This role presents an opportunity to tackle novel challenges using cutting-edge technologies, as they build innovative systems from scratch. As a key team member, you will specialize in constructing efficient implementations of practical neural net kernels tailored to their distinctive hardware architecture. Additionally, you will implement diverse computing algorithms, maximizing computation and communication throughput. This role involves developing a profound understanding of the architecture's intricacies, working collaboratively with the architects and compiler engineers. Responsibilities: • Experience writing kernels to accelerate Neural Network execution on custom hardware accelerators (not on CPU's), • Design, prototype, and execute low-level, adaptable C++ programs (kernels) for various neural net operations., • Define, document, and communicate configuration APIs for these kernels to the compiler team., • Share performance optimization concepts with both compiler engineers and architects working on future product generations., • Degree in Computer Science, Engineering, Math, Physics, or related field (preferably MS or PhD)., • Profound knowledge of modern C++, with a focus on code generation and low-level compute optimizations., • Familiarity with fundamental Neural Network operator algorithms - Convolutions, Transformers, RNNs., • Demonstrated capability to independently navigate challenging, well-defined problems., • Aptitude and interest in both high-level conceptual understanding and intricate technical details., • Proficiency in Python., • Experience with other AI accelerator programming., • Strong mathematical aptitude., • Comprehensive health and extended health benefits., • Competitive Salary, • Unlimited sick leave., • Stock options., • Contribution to revolutionizing chip and software technologies with global impact.

Job DescriptionWho we are 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. Who you are The Advanced Technologies Group (ATG) at Metropolis is looking for a Principal Software Engineer to lead advancements in our Edge platform as we expand the Metropolis mission to new areas beyond parking. ATG is developing and deploying a broad suite of technologies that enable "AI for the Real World" including cameras, edge compute, sensors, displays, and robotics. The Edge platform is our mission critical backend system that consumes and organizes event data from those field deployed hardware and ML systems, integrating real-time hardware events and machine learning outputs into a core mobility identification platform that powers our business applications. In this role, you will guide software development of the Edge platform as we expand into new business verticals, and add both new capabilities and new devices into the ecosystem. As a senior member of the ATG team, you will work with leadership to craft a technical vision and strategy for ATG that propels our entire suite of core technologies into the next phase of growth. This role will provide significant thought leadership, shape a strong engineering-led culture, and play a critical role in the company's success by creating foundational capabilities on which Metropolis builds remarkable experiences. The ideal candidate will have an end-to-end systems engineering mindset, looking for opportunities well beyond just the software of our Edge platform and into hardware, edge device software and machine learning systems. We are looking for a big thinker who can connect the dots between disparate technologies and systems to move Metropolis forward through ambiguity, but also who has the practical experience to drive improvements to our existing production systems. If you are energized by working across multiple teams and technologies together to solve real world problems at scale, and have a background with distributed hardware / ML / Software systems, this role is for you! What you'll do • Define technical direction for ATG software that organizes the teams to support existing edge systems, develops new capabilities, and creates a strategy for the future, • Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives, • Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem., • Guide the team technically, engaging in hands-on troubleshooting, architecture definition, and implementation of best practices, • Establish robust and right-sized processes and mechanisms to ensure the team is freed up to work on building, • Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork, • Participate in talent acquisition processes to ensure that we have world-class engineers across all skill and experience levelsWhat we're looking for, • BS, MS or PhD in Computer Science or a relevant engineering discipline, • 14+ years of experience with at least 4+ years of experience as a hands-on senior, staff, or principal engineer, • Proven track record of designing and delivering large-scale distributed systems and software products in high volume, mission-critical applications, • Experience developing technical strategy, getting buy-in from business and technology stakeholders, and guiding team(s) through execution, • Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD, and related build/test/deploy processes, • Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems, • Strong fundamental computer science skills, and expert-level knowledge of Scala, Java, or other languages that run on the JVM, • Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products, • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. 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.

Job DescriptionPrincipal Software Engineer – (Gen AI, Big Data): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Provide technical leadership and vision for large-scale distributed systems, ML platforms, and next-generation data infrastructure, • Lead the design, architecture, and delivery of end-to-end solutions across the full SDLC, spanning development, testing, deployment, and operations, • Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready solutions, • Architect scalable microservices and real-time inferencing systems leveraging modern ML infrastructure such as AI Agents, MCP, ML Inference, and LLM Gateway, • Mentor and grow engineering teams, set technical direction, and foster a culture of engineering rigor, collaboration, and operational excellence, • Champion best practices for building resilient, secure, and high-performance systems, optimized for scale and reliabilityRequirements, • Degree in Computer Science, Mathematics, or a related field, • 10+ years of experience across the full software development lifecycle including design, coding, reviews, testing, deployment, and operations, • 5+ years of experience with distributed Big Data and ML platforms such as Spark, Lakehouse, Debezium, Kafka, Flink, or Hudi, • Hands-on experience building Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production, • Experience working with Graph ML and Graph technologies such as GNNs, • Strong track record of end-to-end solution ownership, from design through production scaling, • 5+ years of experience deploying large-scale solutions on cloud platforms such as AWS, Azure, or GCP, • Proven ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with sensitive or streaming data pipelines, including real-time compliance and governance controls

Job Description The Kestra team has over 400 years of experience in the external and internal cardiac medical device markets. The company was founded in 2014 by industry leaders inspired by the opportunity to unite modern wearable technologies with proven device therapies. Kestra’s solutions combine high quality and technical performance with a wearable design that provides the greatest regard for patient comfort and dignity. Innovating versatile new ways to deliver care, Kestra is helping patients and their care teams harmoniously monitor, manage and protect life. The Systems Engineer will interact with customers, customer advocates, stakeholders, human factors and a variety of engineering disciplines to understand intended product uses, product concepts and technology. They are directly responsible for the development, review and ongoing maintenance of high quality, well understood, broadly communicated system and software requirements and are expected to develop expertise in these same areas. ESSENTIAL DUTIES • Lead and/or contribute to cross-functional product definition teams to define medical device systems and roadmaps., • Lead the documentation, review, communication and maintenance of assigned areas of Requirements and associated Traceability, • Lead and/or contribute to Risk Analysis activities, as required, in assigned areas, • Work directly with engineering leads to translate System Requirements, Interaction/UI Design and System Risk Analyses into component-level requirements, designs and risk management approaches, • Perform regular System Integration and System Testing during development, • Support System and Software Verification planning, protocol development and reporting, as required, • Analyze system problems and determine root cause, • Develop and implement corrective actions COMPETENCIES • Ability to be a self-starter, seek new and better methods, and work with minimum supervision, • Demonstrates deep expertise in profession and industry best practices, • Ability to collaborate within a Team environment and across functions, • Embraces Kestra’s Mission & Core Values, • Capability to discern relevant facts and in turn, effectively resolve issues, • Ability to be flexible in a fast-paced goal-oriented environment, • Demonstrates the understanding of deadlines and time limits, ability to accomplish goals, and the desire to win Requirements QUALIFICATIONS • Bachelor of Engineering Degree, • BS degree with a minimum of 3 years of related experience, • MS degree with a minimum of 1 years of related experience, • PhD degree with a minimum of 1 year of experience, • Direct experience with definition and documentation of Engineering / Technical requirements, • Excellent verbal and written documentation and communication skills in English PREFERRED • Systems, biomedical, software and/or electrical engineering background, • Direct, practical experience with IEC 62304-compliant SW Development and Agile development methods., • Experience with medical device development with significant software content., • Familiarity with mobile platforms (iOS, Android), • Experience with medical device risk analysis, ISO 14971 and/or IEC/TR 80002-1, • Experience with requirements management and traceability tools, • Passion for defining and delivering high-quality products that satisfy users’ needs, • Ability to invent, think creatively, and be resourceful SUPERVISORY RESPONSIBILITES • None WORKING CONDITIONS • Fast paced office environment, • Lab environment, • Noise level typical of an open office environment, • Extended hours, as needed PHYSICAL DEMANDS • Frequent keyboard and mouse usage, • Frequent sitting for extended periods of time, • Occasional bending and stooping, • Occasional lifting up to 20 pounds TRAVEL • Occasional travel, less than 10% OTHER DUTIES This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the Team Member. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Benefits Kestra offers a very competitive benefit package including Medical, Dental, 401K with Match, etc. Pay equity is an important part of Kestra’s Culture. Our compensation ranges are guided by national and local salary surveys and take into consideration experience level and internal equity. Each role is benchmarked based on the job description provided If your qualifications and/or experience level are outside of the posted position, we encourage you to apply as we are growing fast and roles that are coming soon may not be posted. Salary: Annualized at $100,000 - $120,000, plus bonus. Depending on experience. Kestra Medical Technologies is an equal opportunity employer. Kestra Medical Technologies does not discriminate on the basis of race, color, religion, national origin, veteran status, age, sexual orientation, gender identity and/or expression, marital status, disability, physical or mental status or any other characteristic protected by law. We are unable to sponsor or take over sponsorship of employment visas at this time. Applicants must be eligible to work for any employer in the U.S. Kestra manufactures and provides life-saving products regulated by the Federal Food and Drug Administration and under contract with Medicare. Kestra maintains a drug free workplace and testing is a condition of employment.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.What You’ll Get To Do: • Design, implement, and optimize 2D/3D CNN and Transformer-based models for deployment on edge and embedded platforms (e.g., NVIDIA Jetson)., • Apply model compression techniques such as quantization, pruning, distillation, and weight sharing to achieve efficient real-time inference under strict constraints on power, bandwidth, and latency., • Convert, compile, and optimize neural networks for runtime using TensorRT, ONNX, CUDA, and C++., • Develop and maintain ROS nodes and interfaces that integrate perception models with the broader robotic system., • Collaborate closely with AI researchers, robotics engineers, and hardware teams to translate cutting-edge research into deployable solutions on edge devices., • Build benchmarks, profile and debug runtime issues, and validate performance against real-world scenarios., • Ensure the reliability, robustness, and stability of deployed models operating in challenging, resource-constrained environments.What You Have:, • 3+ years of professional experience in developing and deploying deep learning models for edge, embedded, or real-time systems., • BS, MS, PhD, or equivalent in Computer Science, Robotics, Electrical Engineering, or a related field., • Strong proficiency in PyTorch, C++, Python, and CUDA for AI/ML development and model optimization., • Hands-on experience with TensorRT, ONNX, TVM, or similar toolchains and compilers for edge deployment., • Proven track record applying model optimization techniques (quantization, pruning, distillation)., • Deep understanding of hardware limitations and performance tuning for Jetson, ARM, GPUs, or other embedded platforms., • Experience integrating AI models into ROS-based robotic systems., • Skilled in profiling and debugging GPU workloads, with familiarity using tools like Nsight or CUPTI., • Ability to work independently and collaboratively within cross-functional teams in a fast-paced, iterative environment.The Extras That Set You Apart:, • Familiarity with JAX or additional ML frameworks beyond PyTorch., • Experience with compiler-level optimizations for GPU inference. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionWho we are 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. Who you are Metropolis is seeking a Senior Manager to lead software engineering for the Edge Platform: the mission critical backend platform that consumes and organizes event data from our field-deployed hardware and ML systems. We are developing and deploying a broad suite of technologies that enable "AI for the Real World" including cameras, edge compute, sensors, displays, and robotics. In this role, you will lead a team of software engineers to support existing systems and develop the next-generation of the Edge platform. The Edge team integrates real-time hardware events and machine learning outputs into a core mobility identification platform, creating a rich data stream that powers Metropolis applications. As a senior member of the Advanced Technologies organization, you will have the opportunity to shape the future of the platform that not only consumes all of the information from those edge systems, but creates the foundational structures on top of which Metropolis builds remarkable experiences for parking and new verticals. You will work closely with other engineering leaders to ensure your team is balancing a mission critical system with delivering new capabilities that power Metropolis into a future well beyond parking! What you'll do • Lead the Edge team to design and build backend software solutions that enable an expanding edge device ecosystem, • Work closely with cross-functional leaders in Hardware, Machine Learning, and other engineering teams to ensure alignment on edge initiatives, • Organize the team to support existing edge systems, develop new capabilities, and create a strategy for the future, • Guide the team technically, engaging in hands-on troubleshooting, architecture definition and implementation of best practices, • Establish robust and right sized processes and mechanisms to ensure the team is freed up to work on building, • Develop resourcing plans and coordinate across teams to ensure development schedules are aligned and communicated, and drive engineering efforts to completion, • Invest in the career development of team members, develop future leaders, and create a culture of cohesion and teamwork, • BS, MS or PhD in Computer Science or a relevant engineering discipline, • 8+ years of experience with at least 2+ years of experience leading and managing backend software engineering teams, • 2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams, • Experience as a technical lead or manager designing software systems that have been deployed at scale, • Experience building distributed backend systems using a variety of service oriented and event driven architectures, • Deep understanding of modern software design processes across the entire software development lifecycle, including TDD/BDD, CI/CD and related build/test/deploy processes, • Experience working directly with or adjacent to distributed edge / IoT / hardware / ML systems, • Working knowledge of Scala, Java or other languages that run on the JVM, • Demonstrated project management skills to ensure timely delivery of features, while maintaining high quality products, • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiencesWhile not required, these are a plus: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. 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.

Job DescriptionA World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking an experienced Senior Software Engineer to join a newly-formed team focused on developing advanced autonomous systems for area defense. This role involves building state-of-the-art solutions combining sensors, effectors, and intelligent decision-making systems to protect civilian and military installations from a variety of threats, including drone attacks. As a part of this team, you will contribute directly to the development of autonomous systems that integrate sensors (radar, cameras, RF, and other modalities) with real-time response actuation through effectors such as kinetic and non-kinetic systems or drone swarms. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to shape solutions that redefine complex area defense scenarios.Core Responsibilities • Design, implement, and optimize software for mission-critical autonomous systems using modern technologies and methodologies., • Develop algorithms to process data from heterogeneous sensors for real-time state estimation and threat detection., • Build AI-driven systems capable of assessing threats and rapidly making decisions to deploy responses to those threats., • Develop integrations with a range of sensors, effectors, and autonomous platforms., • Engineer scalable, reliable, and fail-safe systems capable of functioning in high-stakes environments., • Partner with multidisciplinary teams, including robotics experts, hardware engineers, and system integrators, to deliver integrated solutions.What We Value, • Proven experience in software development for autonomous systems, embedded systems, or robotics., • Knowledge of AI/ML, sensor processing, or swarm behaviors is highly desirable., • Ability to manage complexity, optimize for performance, and think critically under pressure., • Experience deploying and maintaining robust production systems.What We Require, • 5+ years of professional software development experience, • 2+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems, • 2+ years of experience as a mentor, tech lead or leading an engineering team, • Strong proficiency in Rust, Python, or Java, • Bachelor's/Master's/PhD in Computer Science, Robotics, Electrical Engineering, or related fields

Job DescriptionResponsibilities: 1. Work in big data. Take existing solutions, optimize and build high-performance algorithms. Scale algorithms on terabytes of data. Improve time complexity and space complexity of data pre-processing. Recommend ways to improve data reliability, efficiency and quality.2. Process structured and unstructured data, validate data quality, help to design data quality tests in big data environment.3. Help to develop and support data products. Develop data set processes for data modeling, mining and production.4. Work closely with engineers and data scientists. Help data science team and engineers to improve spark performance. Be involved into data products deployment.5. Create custom software components using Spark or PySpark (e.g. specialized UDFs) and analytics applications.6. Help to create visualization tools for tracking model performance and data quality. Integrate new data management technologies and software engineering tools into existing structures.7. Collaborate with data architects, engineers, data scientist, business team members on project goals. Minimum qualifications:- BS degree in a quantitative field such as statistics, operations research, computer science, mathematics, physics, electrical engineering, industrial engineering.-2 years of relevant work experience in big data analysis or related field (data engineer/developer).-Expert in Spark, Python/ or R, PySpark/ or SparkR, Scala, SQL/Hive- Familiar with Spark MLlib, SparkSQL-Accomplished in Hadoop-based data mining frameworks.Preferred qualifications:- MS or PhD degree in a quantitative field.- 2-3 years of relevant work experience, including deep expertise in Spark.

Job DescriptionWho we are 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. Who you are Metropolis is seeking a Senior Camera Systems Engineer to drive current and future camera system requirements and designs and enable scaled manufacturing and deployment. We are developing a broad suite of technologies that enable the operation of our CV/ML platform, including but not limited to camera and computer vision systems, edge and embedded computers, IoT sensors and automated access control systems. As a senior member of the Advanced Technologies (AT) organization, you will be responsible for working up and down the camera stack, providing requirements and designs at the optics and CMOS level, working with team members to implement the ISP and processing pipeline, and ensuring field applications are understood and addressed by our imaging solutions. You will collaborate cross-functionally with members of the Hardware, Embedded Software, Machine Learning and Technical Operations teams to shepherd camera systems from inception through to scaled production. The right candidate will be comfortable working at all levels of camera system development - performing detailed analysis at the optics/sensor level, tuning ISP settings, driving alignment with hardware and software integrations, engaging with manufacturing teams, and even getting ahead of application and environmental considerations that impact deployment. You must be able to thrive and succeed in an entrepreneurial environment, working collaboratively in a fast-paced environment with multiple stakeholders. You won't be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in, and get the job done. If you have a background in cameras, sensors, computer vision or autonomous systems, and are interested in developing systems that go out into the real world, please reach out! What you'll do • Generate camera and camera system requirements that support business objectives, and develop camera system designs based on detailed systems and tradeoff analyses, • Decompose camera system requirements for dissemination to contributing teams, including metric definition and measurement approaches, • Work cross-functionally with hardware, machine learning, embedded software, technical operations and manufacturing teams to design, develop and deploy camera solutions to Metropolis facilities, • Support camera system design and validation processes, including manufacturing and test / calibration, • Perform optical and camera system simulations / tests as required to quantify and validate proposed solutions, • Work with partners to enable manufacturing of designed camera systems, including establishing test and validation processes and criteria, • Work with vendors of cameras and optical devices/components to evaluate their capabilities against our needs and specify our requirements to them, • Create, utilize, and maintain a camera lab for evaluating new vision technologies and to use as part of a larger QA process for maintaining the integrity of our camera designs, • Support troubleshooting of field-deployed systemsWhat we're looking for, • MS or PhD in Engineering, Physics, Computer Science, Imaging Science or equivalent, • 5+ years of industry experience working with imaging systems, • Deep understanding of camera technologies, optical systems, and imaging pipelines, • Practical experience with optics, image sensor and pixel fundamentals, and camera construction and assembly., • Hands on experience with imaging system test and validation systems, including measurement of traditional and product specific image quality metrics., • Production experience with end-to-end imaging processing pipeline, including HDR and image quality modules., • Proven track record of productizing 3A and ISP algorithms and settings tailored to camera use cases, • Familiarity with computer vision and machine learning fundamentals, including algorithm development, modeling and optimization., • Experience performing data analysis and automation to yield actionable insights, • Delivered at least one camera system from concept to mass production, • Experience with at least one relevant modern programming language (Python, etc.), • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences, • Role is hybrid on-site in Seattle, WAWhile not required, these are a plus: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. 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.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience #LifeatVisa. Job Description The Artificial Intelligence and Machine Learning (AI/ML) Platforms team is building the next generation of scalable and responsible AI/ML infrastructure to empower products that address real-world client and consumer challenges. This role will collaborate cross-functionally with software engineers, data scientists, AI/ML engineers, data engineers, and program managers, focusing on migrating on-premises platforms to the cloud and driving adoption of tools that deliver measurable value across the payment ecosystem. Visa’s AI/ML models and products are integral to the global economy, playing a critical role in preventing fraud within the payments landscape and delivering high value to clients and consumers. Our platforms enable hundreds of millions of dollars in revenue for Visa and safeguard billions of dollars in payment transactions. Essential Functions As a key member of the AI/ML Platform Product leadership team, this role is responsible for the strategy, design, development, and adoption of AI/ML platforms, including model training and experimentation platforms, real-time inference platforms, and GenAI platforms. This role leads cross-functional efforts to deliver scalable, cloud and on-premises solutions that empower teams across Visa. Platform Strategy & Leadership • Drive the platform vision and roadmap, ensuring alignment with Visa’s broader data, AI/ML and business strategies., • Identify market trends, competitive dynamics, and clients need to inform platform direction and long-term planning., • Lead cross-functional teams of product managers, data scientists, and engineers in a matrix organization. Translate customer needs into platform requirements and ensure successful delivery., • Own the product definition and implementation of the AI/ML stack across both on-premises and cloud environments., • Conceptualize, develop, and launch model-based solution and AI-powered products at the intersection of payments and technology., • Define detailed platform requirements, acceptance criteria, and success metrics (e.g., SLAs, operational targets)., • Apply hands-on experience in designing cloud-native architectures and enterprise applications on platforms such as AWS, GCP, or Azure., • Lead grooming sessions and facilitate collaboration across product, data science, and engineering teams., • Ensure platform capabilities support model risk management, onboarding, and compliance., • Provide thought leadership in the Account-to-Account (A2A) product portfolio, guiding strategy and execution of model-based solutions., • Ideate, prototype, and build business cases for new AI/ML capabilities and use cases., • Liaise with business units, product leaders, and engineering teams to ensure alignment and flawless execution., • Communicate regularly with senior leadership and stakeholders to share progress, gather input, and drive consensus. Basic Qualifications: • Minimum of 10 years in product management, with a strong track record of launching and managing product releases within matrixed organizations., • Deep understanding of AI and Machine Learning concepts, with emphasis on platforms and tools that enable AI/ML product development., • Hands-on experience with AI/ML cloud stacks and large-scale enterprise systems., • Strong business acumen with the ability to align AI/ML capabilities to strategic outcomes in financial services, payments, and card industries., • Proven experience applying machine learning and data science to solve real-world challenges in fraud detection, credit risk, and payment systems., • Proficiency in Agile development practices and experience working with Scrum teams in matrixed environments., • Familiarity with Agile tools such as Confluence, JIRA, and Tableau., • Advanced proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Project, SharePoint). Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 191,700 to 332,950 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionSalary: About Us Monod Bio is a pioneer company in the design ofde novoprotein biosensors. Our innovative biosensor platform technology takes advantage of the most recent advances in computational protein engineering to create highly modular biosensing nano-switches that enable rapid, sensitive, and inexpensive analytical assays.Our visionary founding team and state-of-the-art technology position Monod Bio at the forefront of molecular reporter and biosensor innovation, and we welcome exceptional individuals to join us in this journey. Monod Bio is looking for a Scientist in computational protein design. The selected candidate will independently spearhead a dedicated team through projects focusing on screening, lead identification and production of computationally designed de novo proteins. This position requires extensive experience in protein biochemistry, protein expression and purification methods in bacterial systems and quality control of the resulting protein reagents. The ideal candidate will be responsible to interface with internal and external stakeholders to understand the deliverables of each project, and independently plan timelines, required human and material resources, execution, and quality assessment of the delivered product. Key Responsibilities • Design and engineer novel proteins and enzymes using state-of-the-art computational tools (Diffusion, RosettaFold, AlphaFold etc.). You will have access to the most advanced protein design platforms, along with proprietary experimental technologies and a diverse team of scientific experts, enabling you to work at the forefront of protein engineering., • Contribute to the continuous refinement of AI/ML systems: Leverage data-driven insights to improve the accuracy of predictive models, ensuring that every stage of the drug development pipeline benefits from cutting-edge computational approaches., • Collaborate across interdisciplinary teams, ensuring a seamless connection between computational insights and experimental design. You will engage with biologists, chemists, and engineers to ensure that our designs lead to viable and effective therapeutics., • PhD in Computer Science, Computational Biology, or a related field: Candidates with industry experience are preferred. We seek an expert in machine learning for protein design, with a proven track record of designing functional enzymes, therapeutics, or other protein-based molecules., • Hands-on experience in computational protein design: You have a deep understanding of the tools and techniques used to design and model proteins, and you are eager to apply your knowledge to real-world challenges., • Proficiency in deep learning and AI/ML applications: You are familiar with deep learning concepts and have experience developing and optimizing machine learning models, particularly in the context of protein structure prediction, enzyme design, or other related areas., • Fluent programming skills in Python, Bash, Go, C++, and other languages: You are comfortable working with these programming languages to build efficient, scalable solutions, and can integrate computational models into larger workflows., • A collaborative mindset with interdisciplinary lab teams: You understand the dynamics of laboratory research and can bridge the gap between computational and experimental work. You are adept at working with cross-functional teams to integrate computational innovations into real-world workflows., • Ability to perform work in both an office and laboratory environment. Will be in proximity to BSL2 labs. Familiarity with biological and chemical hazard handling. Training and equipment will be provided, as necessary., • Office mobility and the ability to stand for periods of time as needed are required., • Operations happen in moderately loud environments. PPE included by the company., • While not normally anticipated for this computational position, exposure to mild odors from the manufacture of physical specimens and from laboratory work may occur. The environment has been tested, and proper engineering protections are in place. We are proud to provide a generous benefits package and a healthy work culture:, • Competitive annual salary range of $120K to $175K based on skills and experience. Annual discretionary bonus opportunity., • 100% company-paid medical, dental, life/AD&D, and vision insurance premiums for employees scheduled to work 25+ hours per week. 50% paid premiums for eligible dependents., • 4 weeks PTO per year plus 11 paid holiday closure days and 2 annual floating holidays., • Parental leave benefit., • State-of-the-art lab and office on bus line and near coffee shops, restaurants, and South Lake Union neighborhood., • Casual environment, friendly colleagues, and of course, excellent snacks in the kitchen! Every position requires certain physical capabilities with the major ones for this role noted above. Monod Bio seeks to provide reasonable accommodations that enable individuals with disabilities to perform essential duties when possible. Equal employment opportunity is a fundamental principle at Monod Bio.

Job Description About ChipStack Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. Role Overview You’ll design, engineer, and research agentic systems—software that plans, executes, uses tools, and learns. You’ll bridge LLM agent research (prompting, tool use, memory architectures) with the engineering that puts these systems in production for chip design workflows. Key Responsibilities * Agent Research & Prototyping * Architect and iterate on agentic components: memory, context engineering, tool usage, multi-agent coordination * Experiment with prompting, finetuning, and orchestration to improve agent performance * Infrastructure Development * Build scalable infrastructure for prompt iteration/testing, benchmarking, logging, and evaluation * Assist with pipelines for fine-tuning, automated evaluation, and model deployment. * Collaboration & Integration * Work directly with chip designers and ML infra engineers to embed agentic workflows into chip design pipelines * Partner with product teams to solve core agent challenges (e.g., long-horizon planning, tool integration) * Research & Metrics * Define and evaluate performance metrics for agent systems * Design goal-oriented agentic workflows to enhance task completion You Should Have * 5+ years of combined ML research and / or software engineering experience * Hands-on with LLMs: prompting, finetuning, evaluation * Strong programming skills * Solid foundations in distributed systems, data pipelines * Cloud + on-premise infra experience involving GPUs. Familiarity with Docker * Excellent communication & a bias toward collaborative problem-solving * PhD or MS in ML, CS, or related field, or equivalent research + implementation experience * Ability to build, evaluate, and iterate LLM-based applications Nice-to-Have * Experience in fine-tuning LLMs specifically for agentic applications * Experience designing agentic systems or multi-agent workflows * Familiarity with reinforcement learning (RLHF/RL-agent contexts) * Background in integrated ML infra and agent evaluation pipelines * Interest or experience in the chip design/EDA domain What Makes This Role Unique * Play a key role at the intersection of agent research and real-world infra, delivering autonomous workflows for chip design * Influence both the research direction and the productionization of agentic systems * Join a tight-knit founding team, directly impacting high-stakes chip-design automation tasks Culture Challenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.

Job Description PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. What We Offer • A dynamic environment where your contributions shape the company and its products., • A team that values innovation, intuition, and drive., • Autonomy, fostering focus and creativity., • The opportunity to have a significant impact in a revolutionary industry., • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture., • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionAbout Outpace BioOutpace Bio is pioneering the future of cell therapy for solid tumors by harnessing unrivaled AI-powered protein design. Our mission is to program immune cells for enhanced function inside patients, overcoming key barriers such as poor tumor access, weak survival, antigen escape, and dose-related toxicity. By creating and integrating modular, plug-and-play technology assets, we are developing cell therapies with unprecedented efficacy, transforming how engineered T cells interact with cancer and the immune system to deliver life-changing outcomes. Our multidisciplinary team of scientists, engineers, coders, and cell therapy developers works at the cutting edge of computational protein design, synthetic biology, and immunology. Together, we are reimagining how cells function to unlock novel therapeutic possibilities.Located in Seattle’s vibrant biotech hub overlooking scenic South Lake Union, Outpace Bio is led by pioneers in computational protein design and engineered cell therapies. Our culture is built on a foundation of respect and inclusion, which are fundamental to how we collaborate to revolutionize cell therapy through groundbreaking innovation rooted in rigorous science. Our Commitment to DiversityAt Outpace Bio, we believe that the highest performing teams include people from a wide variety of backgrounds and experiences. We are committed to cultivating an open, diverse, and inclusive culture for all employees. Recognizing that the best candidates do not always match all criteria of the job description, we encourage you to apply if you think you would be a good fit for the role and are inspired by our mission to cure disease by pushing the boundaries of biology. Our MomentumIn August 2024, Outpace Bio secured an oversubscribed $144 million Series B financing, led by RA Capital Management and supported by a premier syndicate of life science investors. This funding accelerates our pipeline of programmed T cell therapies, including our lead candidate OPB-101, a mesothelin-specific chimeric antigen receptor (CAR) T cell enhanced by Outpace’s proprietary OUTSMART™, OUTLAST™, OUTSPACER™, and OUTSAFE™ technologies. OPB-101 is advancing toward IND clearance and first dosing in 2025 for patients with advanced platinum-resistant ovarian cancers. The Series B investment also supports the expansion of our pipeline, enabling us to develop additional transformative therapies leveraging our innovative plug-and-play technology platform. To enable this vision we are seeking a highly motivated and experienced Director/Senior Director of Project & Portfolio Management to help lead our cross-functional teams designing and advancing programmed T cell therapies into the clinic. Reporting to the Chief Business Officer, you will play a pivotal role in managing drug development projects at both preclinical and clinical stages. Partnering with Asset and Project Team Leaders, you will foster a high-performing team environment while driving the development and execution of integrated project plans across functional disciplines. As the central source of project status, you will ensure alignment, facilitate timely decision-making, and escalate challenges as needed. In addition to managing individual projects, you will contribute to building project management tools and methodologies to support initiatives across our portfolio. This role may also involve serving as an alliance manager for external partners and vendors. We’re looking for a detail-oriented problem solver who thrives in dynamic environments and is passionate about Outpace’s mission to revolutionize cell therapy. If you’re a project or program management professional eager to work on cutting-edge science with a collaborative team and grow your career, this could be the role for you.Key Responsibilities (position responsibilities may include, but are not limited to): • Project & Program Leadership: Partner with functional sub-team leaders (CMC, Clinical, Research, Regulatory) to manage one or more program sub-teams, ensuring alignment and successful execution of development plans., • Cross-Functional Planning & Integration: Collaborate with the Program Leads or Asset Leaders to integrate functional sub-team plans into a comprehensive cross-functional program plan. Identify key milestones, interdependencies, critical paths, and risks, while ensuring seamless execution., • Risk & Timeline Management: Own program timelines across cross-functional workstreams. Anticipate and mitigate risks, align deliverables, and drive accountability for execution across project teams. Utilize project management tools to facilitate decision-making and communication., • Stakeholder Communication & Reporting: Clearly communicate program status, risks, and progress to key stakeholders, including senior leadership and external partners. Establish a reporting cadence to ensure visibility across the organization and prepare materials for key meetings such as Portfolio Steering Committees and Scientific Advisory Board reviews., • Budget & Resource Management: Partner with finance to support annual budget planning, manage program budgets, monitor spending, and guide resource allocation decisions to meet project goals., • Meeting Management & Documentation: Schedule and lead project meetings and support subteams, as requested. Maintain clear documentation of decisions, actions, and progress through meeting minutes and action logs., • Process Improvement: Help to build the project management function by implementing tools, templates, and methodologies to enhance team productivity and efficiency., • Strategic Alliance & Vendor Management: Manage high-profile partnerships and vendor relationships, as needed. Serve as the main point of contact for external stakeholders. Ensure alignment on deliverables and successful execution., • Portfolio Management: where possible contribute to program strategy and life cycle management by helping to track the evolving scientific landscape and treatment paradigms. Incorporate insights from scientific, clinical, and investor presentations to inform decision-making.Qualifications (Required):, • Bachelor’s degree in a life science, engineering, technology, business, or related field; an advanced degree (MS, PhD, or MBA) is preferred., • 10+ years of experience in the biotechnology or pharmaceutical industry (Director) and 15+ years of experience (Senior Director), with at least 5 years of direct project and portfolio management in a science-based organization., • Proven track record of leading complex, cross-functional programs & projects through stage gates, ideally including experience delivering against IND filings, early clinical, and the cross-functional activities (Tech Ops, clinical, regulatory, translational) to drive program expansion from Phase 1 to pivotal development for cell therapies in oncology., • Expertise in program and project management best practices, including proficiency with tools such as Microsoft Project, Smartsheet, or similar platforms., • Strong analytical & problem-solving skills, with the ability to synthesize complex information into actionable insights., • Exceptional interpersonal skills, including the ability to motivate teams, maintain positive working relationships with collaborators, influence without authority, and effectively resolve conflicts., • Demonstrated ability to manage multiple projects, take initiative, and work cross-functionally in a dynamic environment., • Excellent written and verbal communication skills, with the ability to convey technical and strategic information (including the core elements of engineered T cell therapies) effectively to scientific and business audiences., • Proven ability to identify risks proactively, prioritize tasks, and drive issue resolution., • Proven success in goal setting, prioritization, and time management., • Results-oriented, detail-oriented, and self-motivated, with the ability to work independently with minimal supervision., • Thrives in a fast-paced, dynamic environment, adapting effectively to evolving priorities and ambitious timelines.Qualifications (Preferred):, • PMP Certification preferred., • Experience in nonclinical, CMC and clinical disciplines is highly advantageous., • Familiarity with FDA regulatory processes and clinical trial management., • Direct experience working on gene or cell therapy development programs, with recent cell therapy experience being particularly desirable.

Job DescriptionWho we are 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. Who you are Metropolis is seeking a Senior Manager to the Central Cloud Infrastructure team: the pivotal engineering group that governs cloud usage, manages foundational elements of the cloud, develops shared tooling for managing cloud resources, supports other teams through consultancy, and ensures the cloud is secure / meets compliance requirements. With a holistic perspective on Metropolis's cloud ecosystem the team provides support for sub-systems such as workload orchestration, data persistence, observability, and endpoint access. In this role you will lead a team of engineers in creating a substrate of systems, developing best practices, and engineering breakthroughs that accelerate other teams while maintaining the health of Metropolis's cloud and increasing the velocity of the CCI team itself. As a senior member of the Advanced Technologies Group you will provide technical as well as both intra- and inter- team leadership to find optimal solutions and strategies for a diverse set of areas of concern at various timeframes and a growing suite of verticals. What you'll do • Facilitate the further development by team members of overall team strategy and scope for various timeframes and directly contribute to that planning, • Support the tactical coordination of work-streams and prioritization of items within those streams across team members based on technical dependencies, business urgency, and other considerations, • Ensure talent development by identifying opportunities for and supporting team members' participation in technical and leadership growth opportunities, • Foster a collaborative atmosphere that delivers business value at an increasing velocity, • Maximize the utility of engineering deliverables (code, documentation, etc.) by promoting their socialization, identifying opportunities for further value extraction, and enabling reusability, • Aid CCI team members by providing timely and relevant knowledge of the priorities / plans of other teams by maintaining informative communications and collaborative relations across the company, • Help broadcast the goals, activities, and requirements of the team and provide meaningful measures of success and progress to upper management, • Be a stakeholder for the cloud and related systems with a vision for the long-term health, performance, efficiency, and utility of these resources, • Participate in an on-call system to handle high urgency issuesWhat we're looking for, • BS, MS or PhD in Computer Science or a relevant engineering discipline, • 8+ years of experience with at least 2+ years of experience leading and managing cloud infrastructure related engineering teams, • 2+ years of experience as a hands-on senior, staff or principal engineer before transitioning into managing teams, • A inter- and intra- team facilitator mindset while recognizing the technical and organizational leadership role possible of a central cloud infrastructure team, • Experience with meeting compliance requirements for cloud environments, • Experience crafting disaster recovery plans and architecting technical solutions, • Track record of successfully developing cloud infrastructure that meets product requirements, • Technical experience with AWS, Terraform, Terraform wrappers, Kubernetes, EKS, Helm, containerization, SQL databases, cloud networking, and Python, • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiencesWhile not required, these are a plus: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. 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.

Job DescriptionPrincipal Data Scientist – (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities, • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption, • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments, • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation, • Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and MLRequirements:, • Degree in Computer Science, Mathematics, or a related field, • 8+ years of experience in applied ML research and production deployment, • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production, • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production, • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems, • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP, • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse, • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks, • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment

Job DescriptionAbout the company: Our client is a company building the world’s highest-performance pure-digital AI inference chip. We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities: • Design and implement software that maps neural nets onto our spatial architecture, • Stay abreast of latest developments in network compilation and optimization, • Drive definition and adoption of best practices, • Support roadmap development and recruiting activities, • Mentor and guide junior engineers, • MS or PhD in Computer Science, Engineering or related field, • 10+ years of experience developing optimizing compilers for a variety of architectures, • Understanding of advanced optimization techniques and deep neural nets, • Experience with MLIR and spatial computing architectures, • Driven and self-directed, • Proficiency in a variety of development styles and languages, • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job DescriptionGopuff’s Data Science team powers the personalized search, browse and recommendation experiences that shape how customers discover daily goods. We are expanding our mission to include cutting-edge generative-AI capabilities. This role will lead the design and deployment of LLM-driven models that deeply understand customer needs and deliver personalized, timely experiences. You will partner with product managers, engineers and researchers to adapt pre-trained large language models (LLMs) to Gopuff’s unique business challenges, fine-tune models using LoRA/qLoRA, build retrieval-augmented generation (RAG) pipelines, and drive innovation from prototype through production.You Will: • Understand customer needs through AI: Build models that interpret intent and context to provide the right product, recommendation or experience at the right moment., • Fine-tune and adapt LLMs: Apply LoRA/qLoRA and RAG techniques to customize state-of-the-art LLMs for Gopuff’s domain, using frameworks such as Hugging Face, LangChain and LlamaIndex., • Architect personalization systems: Design robust pipelines for search, retrieval and ranking that combine generative AI with classical ML, leveraging vector databases and prompt/context optimization., • Drive algorithmic innovation: Explore and apply new methods in deep learning, reinforcement learning, multi-task learning and embeddings to improve personalization, recommendations and discovery., • Develop conversational and Q&A experiences: Build interactive agents that can answer questions, guide product discovery and engage with customers in natural language., • Deploy at scale: Collaborate with MLOps and engineering teams to productionize models with high scalability, reliability and low-latency response times., • Evaluate and optimize: Define metrics, design A/B tests and perform offline/online evaluations to measure model performance, customer satisfaction and business impact., • Collaborate and educate: Work with product, engineering, design, analytics and leadership teams to translate business needs into AI solutions and communicate data-science concepts clearly., • Mentor and lead: Provide technical leadership and mentorship to data scientists and ML engineers, fostering a culture of responsible, customer-focused AI., • Stay ahead of the curve: Continuously track emerging LLM architectures, tools and techniques, and integrate them into Gopuff’s AI roadmap.You Have:, • MS/PhD in Computer Science, Statistics, Mathematics or a related field with 2+ years of experience building generative-AI systems (or 8+ years of industry experience in data science)., • Demonstrated experience fine-tuning LLMs using LoRA/qLoRA, adapting models through RAG pipelines, and optimizing with transformer architectures., • Proficiency in prompt engineering, RLHF and model optimization., • Hands-on expertise with Hugging Face Transformers, LangChain, LlamaIndex and vector databases (e.g., Pinecone, FAISS)., • Strong skills in Python and ML frameworks (PyTorch, TensorFlow, JAX); experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Databricks, etc.)., • Experience working with large datasets and SQL; ability to write scalable, production-quality code., • Excellent communication and collaboration skills to partner across technical and business teams., • A passion for building AI that understands and anticipates customer needs while ensuring responsible and fair use of technology.Compensation:, • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role., • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan., • Base Salary Range: $175,000 - $270,000What We Offer:, • Medical/Dental/Vision Insurance, • 401(k) Retirement Savings Plan, • HSA or FSA eligibility, • Long and Short-Term Disability Insurance, • Mental Health Benefits, • Fitness Reimbursement Program, • 25% employee discount & FAM Membership, • Flexible PTO, • Group Life Insurance #LI-GOPUFF Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Participation in the internship program requires that you are located in the United States for the duration of the internship program. Hardware Engineering Intern, PhD, Summer 2026. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree in Electric

Learn more about Amazon Science here: . You will be technically fearless and with a passion for building scalable science and engineering solutions. PhD in one of the following disciplines: Computer Science, Machine Learning, Statistics, Applied Math or a related quantitative field.

Strong academic record and excellent written and oral communication skills required.Bachelor’s degree in electrical engineering, bioengineering, or a related area required.Advanced degree (MS and/or PhD) preferred.The candidate must be licensed to practice in the state where the office is located.

Bachelor's degree in computer science, electrical engineering, computer engineering, aeronautics, or a related field with a minimum of 6 years of relevant experience, or a master's degree or a PhD degree with a minimum of 3 years of relevant experience. As part of a hardworking team of engineers, yo

Are enrolled in a PhD in computer science, machine learning, engineering, or related fields.

If you are driven by creatively solving complex engineering and algorithmic problems at scale, then we are looking for you! Minimum Qualifications BS in Computer Science or related field or equivalent experience, MS or PhD preferred Strong data structures, algorithms, and OO software design and im

Job Description About Us: At Read AI we're redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they're in the same room or across time zones. Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered collaboration and want to make an impact at a product-focused startup, we'd love to meet you. The Role: We're looking for a strategic and hands-on VP of Data Science to lead Read AI's core technical foundation across AI, machine learning, and data engineering. This role will oversee a growing team of data scientists, ML researchers, data engineers, and MLOps professionals focused on building and scaling our AI models, pipelines, and production infrastructure. You'll own the roadmap, execution, and quality of everything from research to deployment, helping shape the future of AI-powered productivity. Responsibilities • Lead and grow a cross-functional data organization spanning research science, ML, and analytics., • Recruit, mentor, and develop managers and ICs across functions, fostering a collaborative and high-performance culture., • Create clear development paths and career opportunities for a diverse and deeply technical team., • Define and drive our long-term AI/ML roadmap, ensuring alignment with product and business goals., • Balance forward-looking research with delivering impactful, scalable product features., • Represent the data science org to executive stakeholders and help shape company-wide priorities., • Oversee the design and optimization of data infrastructure and real-time ML systems, including ranking, summarization, RAG, LLM orchestration, and signal processing., • Drive best practices for model experimentation, evaluation, deployment, observability, and responsible AI., • Enable a flexible, high-velocity experimentation environment that empowers scientists and engineers to move quickly., • Partner closely with Product, Engineering, Design, and GTM teams to integrate AI deeply into our user experience., • Translate technical capabilities into product innovation and measurable business value., • Serve as a thought leader for AI both internally and externally (optional: speaking, publishing, or open-source contributions). Qualifications: • 10+ years of experience in data science, ML, or applied research roles, with 5+ years in technical leadership roles., • Demonstrated success leading teams that built and deployed production AI at scale in real-world user-facing applications., • Hands-on experience with LLMs, transformers, and modern ML stacks (e.g. PyTorch, JAX, TensorFlow, Hugging Face, LangChain)., • Strong knowledge of cloud-native data and ML platforms (e.g., BigQuery, Spark, Ray, Airflow, KubeFlow)., • Proven ability to manage infrastructure as well as applied ML science., • Excellent communication skills, with the ability to influence both executive stakeholders and technical teams., • Experience building and deploying models to both B2C and B2B experiences that touches tens of millions if not more, • Experience with GenAI, Retrieval, ML or Recommendations., • Innovative: We're set to bring AI to the masses by introducing technology designed to improve every interaction., • Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks and allowing them to focus on what matters the most., • Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is on pace to be one of the fastest growing consumer AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, and was noted as a Top Company To Watch in 2025 by Inc Magazine., • Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile from July 2025; CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI; and Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief.. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Dean, College of Science and Engineering. Dean, College of Science and Engineering. Located in the heart of Seattle—one of the nation’s most dynamic technology and innovation hubs—the College of Science and Engineering serves as the University’s computing and STEM hub.

As Head of Engineering for the Insurance Group, you will inherit a strong, growing set of engineering pods that deliver critical systems behind benefits and eligibility services, claims, billing infrastructure, payments, and customer support tooling. Your teams will be highly cross-functional, partn

We embed with product engineering teams to provide platform perspective, build shared mvp capabilities, and align to a shared vision for success. Partner effectively with engineering and product leaders to align on direction and execution. Have 3+ years of engineering management experience leading h

Engineering Project Management. Director of Project Engineering. Site Engineering Leadership Team.

We're looking for an Engineering leader who has done it all: You've built impressive products as an individual contributor, you've built a bench of amazing Engineers, and you've established the cultural norms and processes of an entire Engineering department. Ashby's success and ambition mean we're

Head of Evaluation and Oversight Research.Scale is the leading data and evaluation partner for frontier AI companies, playing an integral role in advancing the science of evaluating and characterizing large language models (LLMs).Our research focuses on tackling the hardest problems in scalable over

As a Software Engineering Manager for the ES (Engineering Systems) organization, you will lead and expand our distributed engineering team. We are hiring a talented Software Engineering Manager to help us build a world class developer platform to fuel the Snowflake AI Data Cloud. Together with indus

Master's degree or PhD in Engineering, Computer Science, or a related technical field. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Engineering Manager, GCE VM, AI/ML Infrastructure.

Senior Engineering Manager - Product Engineering. The mParticle by Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. A