\nMatterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. You’ll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services.  This position will report to the Software Vice President for Vision & Learning.   \n\n\n\nWhat you will do:\n* Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.\n* Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.\n* Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.\n* Lead by example as a working manager with strong hands-on engineering fundamentals.\n* Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.\n* Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.\n* Work with cross-functional teams across Product, Sales, Customer Success and Business Development\n* Advocate for new technical architecture and innovation \n* Implement and refine development and cross-functional processes\n* Hire, mentor, lead, and coach senior and principal engineers to meet their full potential\n* Act as a leader for implementing best-practices across the organization\n\n\n\n Who you bring:\n* Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.\n* 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.\n* Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.\n* Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.\n* Strong experience with AWS cloud services\n* Strong knowledge of data management processes for large-scale machine learning datasets.\n* Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.\n* Strong knowledge of software engineering best practices, including version control, testing, and deployment.\n* Experience with model quantization, distillation or other compression techniques.\n* Excellent communication and collaboration skills.\n\n\n\nNice to Have:\n* Master's degree or PhD in Computer Science, or related field\n* Strong knowledge of C++\n* Experience with 3D graphics, computer vision, point clouds, or spatial data\n* Experience with data streaming and real-time processing frameworks such as Kafka\n* Experience with ML dataset management tooling, such as Activeloop Deeplake.\n* Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.\n* Experience with big data technologies such as Snowflake, Spark, or Hive.\n* Experience with model interpretability and explainability techniques.\n* Experience with building and deploying machine learning models on edge devices or IoT devices\n\n\nWe want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.\n\nThe US base salary range for this full-time position is $160,000 to $294,100 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPerks & Benefits\n* Comprehensive health plans* – 100% of premiums covered for employees & 88% of dependent premiums for US employees\n* Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees – Take time to rest, relax and explore! Plus we offer Summer Fridays!\n* 401k,  Company ownership in the form of RSU’s & ESPP Program\n* Medical and retirement benefits vary by Country \n* For more detail visit www.matterport.com/careers \n\n\n\n\n\n\nBelief in Diversity\n\n\nAt Matterport, we don’t just accept differences, we celebrate them and recognize the value they bring to our customers and employees. Matterport is proud to be an equal opportunity workplace and works to create and support diversity at Matterport. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won’t unlawfully discriminate on the basis of gender, identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, sexual orientation, and any other category protected by law. We are committed to providing employees with a work environment that provides a sense of inclusion and belonging and is free of discrimination and harassment. We also consider all qualified candidates regardless of criminal histories, consistent with legal requirements.\n\n\nMatterport is likewise committed to working with and providing reasonable accommodation to all qualified applicants and employees with disabilities in accordance with the American Disabilities Act\n\n\nFor more information regarding how Matterport collects and uses personal information, please review our Privacy Policies. https://matterport.com/privacy-policy\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $50,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUnited States

\nCloudstack Engineer - Public Cloud Scalability Team\n\nOur office is based in Amsterdam, but remote work within the EU is available. We also offer relocation to the Netherlands. \n\nProduct Engineering at Leaseweb  \n\nOur team of approximately 90 engineers is working in small scrum teams. Each team has end to end responsibility for a specific product or part of our architecture. We work on a remote-first basis, coming together in person at our Amsterdam headquarters twice a year.\n\nOur organizational structure is flat, placing a high value on independence and entrepreneurship. The atmosphere is informal and relaxed, creating a highly motivating work environment in which you will work with some of the most inspiring colleagues in the industry.\n\nWhat is the role about? \n\nIn this role we are looking for a highly experienced developer with a true DevOps mentality and skillset. You will be collaborating with and contributing to the Apache CloudStack project. Since we are a provider of hosting infrastructure deep knowledge about Linux and Networking is key. Supported by your team, we expect a self-organizing and independent professional that will take the lead in running and scaling our CloudStack deployments. From diving into software bugs and reproducing customer problems to proposing and building sustainable solutions, in order for Leaseweb to provide scalable Public Cloud services.\n\nYou will be working with a team of DevOps engineers. A group with diverse expertise and highly curious minds who are excited about the challenges to build and operate Leaseweb’s Public Cloud. Our objective is to build reliable platforms and interfaces providing trustworthy endpoints for users to integrate with, running a standardized stack, easily maintained, and fully autonomous for users through our API and Customer Portal.\n\nKey responsibilities:\n\n\n* Maintaining close collaboration with the Apache CloudStack community on the CloudStack project.\n\n* Developing and supporting the Apache CloudStack project.\n\n* Together with your team you will maintain Leaseweb’s CloudStack deployments, both operationally and in software improvements\n\n* Working with the team to resolve issues that customers face with CloudStack, by solving bugs and introducing features\n\n* Participation in the on-duty rotation schedule\n\n\n\n\nRequirements:\n\n\n* Understanding of the Apache CloudStack opensource project.\n\n* Extensive experience with Java development in a cloud hosting context.\n\n* Experience with Python for automation and testing purpose\n\n* Knowledge of the Linux operating systems, preferably Ubuntu. Experience with Shell/Bash is an advantage.\n\n* Excellent knowledge of virtualization technologies (KVM, QEMU and libvirt) is required.\n\n* Knowledge and experience with Networking and Storage use and automation will be a big advantage.\n\n* Love teamwork, good planning skills, logical thinking skills, problem-solving skills and have an eye for detail.\n\n* Experience with continuous integration tools such as Jenkins is a plus.\n\n* Experience with configuration management systems like Chef is a plus.\n\n* It would be an advantage to have experience on Git/ Grafana/ Prometheus/ Kubernetes/ Docker is a plus.\n\n\n\n\nBenefits include \n\n\n* Participation in annual company bonus scheme and company pension\n\n* Internet allowance and travel allowance\n\n* Working from home policy  \n\n* Lease bike plan\n\n* 25 days of paid time off (and the option to buy or sell up to 5 more days) \n\n* Free lunch, parking, and fresh fruit provided when in the office \n\n* Attractive relocation packages and an agency that takes care of the entire visa process\n\n* Access to the Leaseweb Academy, a personalized learning platform offering a variety of studies, (Dutch) courses, and trainings \n\n* Fun events year-round – from virtual pub quizzes to summer parties, company runs, quarterly hackathons and much more \n\n* Monthly after work drinks\n\n* A multicultural work environment (our colleagues are from over 60 countries!) in a company where you can truly make a difference  \n\n\n\n\nReady for the next step?  \n\nIf you’d like to apply, please do so online. To learn more about us, follow us on LinkedIn or Instagram to get an inside look at life at Leaseweb. For questions, please reach out to Danisha Ardilla Talent Acquisition Specialist, at: [email protected]\n\nWe directly source all candidates – any unsolicited profiles received from recruitment agencies will be treated as direct applications.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Travel, DevOps, Java, Cloud, API and Engineer jobs that are similar:\n\n $55,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nAmsterdam, North Holland, Netherlands

\nWe're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving over a million Hims & Hers users.\nYou Will:\n\n\n* Architect and develop data pipelines to optimize performance, quality, and scalability\n\n* Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources\n\n* Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake\n\n* Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance\n\n* Orchestrate sophisticated data flow patterns across a variety of disparate tooling\n\n* Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics\n\n* Partner with the rest of the Data Platform team to set best practices and ensure the execution of them\n\n* Partner with the analytics engineers to ensure the performance and reliability of our data sources\n\n* Partner with machine learning engineers to deploy predictive models\n\n* Partner with the legal and security teams to build frameworks and implement data compliance and security policies\n\n* Partner with DevOps to build IaC and CI/CD pipelines\n\n* Support code versioning and code deployments for data Pipelines\n\n\n\nYou Have:\n\n\n* 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages\n\n* Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed\n\n* Demonstrated experience writing complex, highly optimized SQL queries across large data sets\n\n* Experience with cloud technologies such as AWS and/or Google Cloud Platform\n\n* Experience with Databricks platform\n\n* Experience with IaC technologies like Terraform\n\n* Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres\n\n* Experience building event streaming pipelines using Kafka/Confluent Kafka\n\n* Experience with modern data stack like Airflow/Astronomer, Databricks, dbt, Fivetran, Confluent, Tableau/Looker\n\n* Experience with containers and container orchestration tools such as Docker or Kubernetes\n\n* Experience with Machine Learning & MLOps\n\n* Experience with CI/CD (Jenkins, GitHub Actions, Circle CI)\n\n* Thorough understanding of SDLC and Agile frameworks\n\n* Project management skills and a demonstrated ability to work autonomously\n\n\n\nNice to Have:\n\n\n* Experience building data models using dbt\n\n* Experience with Javascript and event tracking tools like GTM\n\n* Experience designing and developing systems with desired SLAs and data quality metrics\n\n* Experience with microservice architecture\n\n* Experience architecting an enterprise-grade data platform\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Testing, DevOps, JavaScript, Cloud, API, Senior, Legal and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

How you will help\nAs a part of our DevOps team, working alongside our product and development teams, you will own and be responsible for architecting and implementing scalable solutions that offer our customers new insights on their own businesses. You’ll use the best tools for the job -whether modern and revolutionary or time tested and proven- to deliver elegant, scalable solutions that meet business and technical needs. Your team will support you and you the same. Peer review of solutions and implementations is expected. You will play an integral part in building the foundation of HealthVerity’s future. \n \nWhat you will do\n• Design, deployment and maintenance of multiple AWS environments\n• Automation of build, deployment and testing of internal tools, typically using python or shell\n• Troubleshooting and performance monitoring of applications, databases, data processing servers and associated storage systems\n• Network analysis and architecture design with a mind toward maintainability, scalability, and security in an AWS environment\n• Work with the engineering team to develop robust and scalable platforms and workflows for new analytics processes\n• Evaluate and integrate cloud services and tools\n• Develop, document, and implement migration plans for continuous improvement of existing products and services\n• Automate log collection, storage, and analysis\n• Implement and maintain organizational security policies\n\nAbout you\n• You make security a priority in everything you do\n• You are data-driven; testing and measuring every step\n• You are an expert at monitoring and measuring systems and identifying bottlenecks\n• You automate everything\n• You leverage concepts such as impermanence to build highly reliable infrastructure\n• You are comfortable using distributed version control like Git.\n• You are comfortable reading Linux shell scripts, Python, Go, Java, JavaScript, Perl or similar languages\n \nDesired skills and experience\n• Expert level Linux system administration skills\n• Experience supporting scalable applications on distributed architectures, storing large data sets and supporting analytics\n• Management and scaling of traditional RDBMS and/or NoSQL\n• Deployment of cloud based infrastructures such as AWS, Rackspace, Joyent, etc as well as on your own iron\n• Hands on experience with Chef or Puppet as well as containers such as Docker\n• Experience with large scale data management and processing systems such as Hadoop, Cassandra, Redis, Spark, Riak\n• 3+ years of IT and business/industry work experience\n• Added bonus: understanding of Healthcare IT standards such as HL7 HQMF, HL7 CDA-based standards, EMR and FHIR\n\nAbout HealthVerity\nPharmaceutical manufacturers, payers and government organizations have partnered with HealthVerity to solve some of their most complicated use cases through transformative technologies and real-world data infrastructure. The HealthVerity IPGE platform, based on the foundational elements of Identity, Privacy, Governance and Exchange, enables the discovery of RWD across the broadest healthcare data ecosystem, the building of more complete and accurate patient journeys and the ability to power best-in-class analytics and applications with flexibility and ease. Together with our partners, HealthVerity has built the modern way to data for the health insights economy. To learn more about the HealthVerity IPGE platform, visit www.healthverity.com.\n\nOur company challenges\n• Empowering clients with highly rewarding data discovery and licensing tools\n• Ingesting and managing billions of healthcare records from a wide variety of partners\n• Standardizing on common data models across data types\n• Orchestrating an industry-leading HIPAA privacy layer\n• Innovating our proprietary de-identification and data science algorithms\n• Building a culture that supports rapid iteration and new possibilities\n\nWe have big plans\nThe infrastructure and culture we are building will provide an environment that cultivates innovation. We want to move fast knowing we can fix anything we break along the way. If a new need arises, we want to turn around a solution quickly. We want to solve our challenges in ways that create even more possibilities. We’ve created a platform that will scale to support an ever-growing array of data providers and innovative products and services. You must be able to think big while still delivering on near-term requirements.\n\nWe pride ourselves on ensuring that each team member at HealthVerity feels connected, validated and heard. From Philadelphia to Manhattan Beach, our success is driven by recognizing that a team is made up of individuals. We offer a robust set of benefits and perks to everyone. View details on our careers page.\n\nHealthVerity is an equal opportunity employer devoted to inclusion in the workplace. We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table. Read our Equity Inclusion and Diversity Statement.\n\nIf you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]\n\nHealthVerity offers in-office and remote options, so you can work from anywhere within the US! #LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Engineer, Cloud, Perl, Python and Linux jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote