\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

\nRestaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” ... and we want that for you too!\n\n\nRestaurant365 is looking for an experienced Data Engineer to join our data warehouse team thatenables the flow of information and analytics across the company. The Data Engineer will participate in the engineering of our enterprise data lake, data warehouse, and analytic solutions. This is a key role on a highly visible team that will partner across the organization with business and technical stakeholders to create the objects and data pipelines used for insights, analysis, executive reporting, and machine learning.  You will have the exciting opportunity to shape and grow with a high performingteam and the modern data foundation that enables the data-driven culture to fuel the company’s growth.  \n\n\n\nHow you'll add value: \n* Participate in the overall architecture, engineering, and operations of a modern data warehouse and analytics platforms.  \n* Design and develop the objects in the Data Lake and EDW that serve as core building blocks for the semantic layer and datasets used for reporting and analytics across the enterprise. \n* Develop data pipelines, transformations (ETL/ELT), orchestration, and job controls using repeatable software development processes, quality assurance, release management, and monitoring capabilities. \n* Partner with internal business and technology stakeholders to understand their needs and then design, build and monitor pipelines that meet the company’s growing business needs. \n* Look for opportunities for continuous improvements that automate workflows, reduce manual processes, reduce operational costs, uphold SLAs, and ensure scalability. \n* Use an automated observability framework for ensuring the reliability of data quality, data integrity, and master data management.  \n* Partner closely with peers in Product, Engineering, Enterprise Technology, and InfoSec teams on the shared enterprise needs of a data lake, data warehouse, semantic layer, transformation tools, BI tools, and machine learning. \n* Partner closely with peers in Business Intelligence, Data Science, and SMEs in partnering business units o translate analytics and business requirements into SQL and data structures \n* Responsible for ensuring platforms, products, and services are delivered with operational excellence and rigorous adherence to ITSM process and InfoSec policies. \n* Adopt and follow sound Agile practices for the delivery of data engineering and analytics solutions. \n* Create documentation for reference, process, data products, and data infrastructure \n* Embrace ambiguity and other duties as assigned. \n\n\n\nWhat you'll need to be successful in this role: \n* 3-5 years of engineering experience in enterprise data warehousing, data engineering, business intelligence, and delivering analytics solutions \n* 1-2 years of SaaS industry experience required \n* Deep understanding of current technologies and design patterns for data warehousing, data pipelines, data modeling, analytics, visualization, and machine learning (e.g. Kimball methodology) \n* Solid understanding of modern distributed data architectures, data pipelines, API pub/sub services \n* Experience engineering for SLA-driven data operations with responsibility for uptime, delivery, consistency, scalability, and continuous improvement of data infrastructure \n* Ability to understand and translate business requirements into data/analytic solutions \n* Extensive experience with Agile development methodologies \n* Prior experience with at least one: Snowflake, Big Query, Synapse, Data bricks, or Redshift  \n* Highly proficient in both SQL and Python for data manipulation and assembly of Airflow DAG’s. \n* Experience with cloud administration and DevOps best practices on AWS and GCP and/or general cloud architecture best practices, with accountability cloud cost management \n* Strong interpersonal, leadership and communication skills, with the ability to relate technical solutions to business terminology and goals \n* Ability to work independently in a remote culture and across many time zones and outsourced partners, likely CT or ET  \n\n\n\nR365 Team Member Benefits & Compensation\n* This position has a salary range of $94K-$130K. The above range represents the expected salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic location. Restaurant365 focuses on equitable pay for our team and aims for transparency with our pay practices. \n* Comprehensive medical benefits, 100% paid for employee\n* 401k + matching\n* Equity Option Grant\n* Unlimited PTO + Company holidays\n* Wellness initiatives\n\n\n#BI-Remote\n\n\n$90,000 - $130,000 a year\n\nR365 is an Equal Opportunity Employer and we encourage all forward-thinkers who embrace change and possess a positive attitude to apply. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, InfoSec, Python, Accounting, DevOps, Cloud, API 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\nRemote