\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

\nAbout BLEN\nBLENers are passionate about using technology to solve real-world problems. For over 20 years, we've been helping government agencies and businesses transform their digital experience. We bring fresh perspectives to every project, from modernizing legacy systems to building cloud-native applications to experimenting with technology that’s just around the corner. We value building long and enduring partnerships to solve complex challenges by putting humans at the center of all the experiences. Our team thrives on turning tricky problems into solutions that are practical, accessible and performant.\n\n\nAbout this position\nAs a Senior Software Developer II - Full Stack at BLEN, you will take on a highly strategic role in designing, architecting, and developing scalable, robust digital solutions. This role demands a combination of deep technical expertise in both front-end and back-end technologies and the ability to collaborate closely with tech leads and sometimes take on tech lead responsibilities. You will be expected to think strategically, mentor team members, and deliver high-impact solutions while embracing ownership and accountability. In addition, this position requires a strong background in cloud services, system architecture, AI toolings, and an eagerness to innovate by building prototypes and transforming proof of concepts into production-ready features\n\n\n\nWhat we would like from you\n* Technical Leadership and Strategy\n* Collaborate closely with the tech lead, taking responsibility for the system's architecture and development strategy\n* Step in as the acting Tech Lead when required, making key technical decisions that ensure alignment with overall product and business goals\n* Design and implement scalable, efficient, and maintainable systems and architectures\n* Work on building prototypes and proof of concepts that later become major production features\n\n\n\n* Software Development and Problem-Solving\n* Leverage extensive full-stack development experience to lead high-complexity, outcome-driven projects\n* Proactively diagnose and solve architectural and technical issues, driving quality improvements in existing systems\n* Work hands-on with modern tech stacks, including advanced usage of cloud platforms, ensuring scalable system designs\n* Actively contribute to the development and deployment of AI-driven solutions and applications\n\n\n\n* Mentorship and Team Development\n* Mentor and support junior engineers, focusing on transferring skills in system design, cloud services, and AI technologies\n* Provide technical guidance across teams, fostering a culture of continuous learning and innovation\n* Engage in technical interviews, assessing candidates' skills and cultural fit\n\n\n\n* Communication and Stakeholder Engagement\n* Present design documents, architecture diagrams, and technical solutions to clients, stakeholders, and cross-functional teams\n* Communicate technical strategies and developments effectively across the team and external partners\n\n\n\n* Process Improvement and Innovation\n* Drive improvements in software development processes and practices, with a focus on high performance and scalability\n* Champion best practices in system design, architecture, cloud services, and AI development\n* Stay up to date with emerging technologies and trends in AI and cloud computing, applying this knowledge to drive innovation in the organization\n\n\n\nBasic qualifications\n* Essential Requirements\n* 10+ years of engineering experience, with a proven track record of designing and developing scalable, reliable, and maintainable systems and architectures\n* Extensive experience with full stack development using Python, React, Next.js, Node.js, Java or Ruby on Rails\n* Hands-on experience with Python and AI toolings, including familiarity with large language models (LLMs) and other modern AI frameworks\n* Strong expertise in containerization technologies like Docker and orchestration tools such as Kubernetes, ensuring systems are scalable and maintainable in a cloud-native environment\n* Experience working with both relational databases such as PostgreSQL, MySQL, and NoSQL databases like Firestore, MongoDB, ensuring effective database design, optimization, and scalability\n* Hands-on experience integrating external APIs and third-party services into applications\n* Strong cloud services management and configuration skills with AWS, Azure, or GCP, leveraging these platforms for high availability, scalability, and security\n* Proficiency in version control systems (e.g., Git), and experience managing large, complex codebases\n* Robust problem-solving skills, particularly in diagnosing and resolving complex system issues related to distributed systems, cloud infrastructure, and application performance\n* \n\n* Preferred Skills and Experience\n* Prior experience leading engineering teams or acting as a Tech Lead\n* Experience building AI applications and their underlying infrastructure\n* Familiarity with DevOps tools and best practices\n* Ability to obtain a Public Trust Clearance\n\n\n\nRequirement\n* Must be a US Citizen or legal resident and able to work domestically\n* Must be located in the United States\n* Must be able to attain low-level security clearance\n\n\n\nPerks\n* Work from anywhere.\n* Competitive pay.\n* A contribution to your health benefit.\n* The chance to work on high-visibility projects and make a significant impact.\n\n\n\nGet to know us\n* We are a small, creative and highly technical team.\n* Our heroes are the scrappy folks that dare to dream and do great things. We love people that care more about doing the right thing than taking a shortcut.\n* We believe in finishing projects and floor our clients by how much we cared about their project.\n* We believe in integrity and because we're small, we are very selective of our partners and clients.\n* We do not use phrases like 'human resource' because you are NOT a resource. You are a team member and we will treat you like one.\n\n\n\nWhat you should expect from us\n* We will treat you fairly.\n* We give you space to grow both personally and professionally.\n* We will hear your ideas even when we disagree -- especially when we disagree.\n* We will be equitable with our success and be honest with our challenges.\n* We will always tell you the truth. Even when the truth is difficult.\n\n\n\nBLEN's hiring process\n* Resume Review: Our team evaluates your resume and online profiles (LinkedIn, GitHub, etc.) to assess qualification fit.\n* Role-Specific Assessment (depending on role, due in 24 - 48 hours): Complete a take-home assignment or live coding session to demonstrate technical skills. For this role, this will be the assessment: https://github.com/blencorp/blen-fullstack-engineer-take-home\n* Hiring Manager Screen (30 mins): Dive deeper into your experience and the role with the hiring manager.\n* Virtual Interviews (2 rounds, 30-45 min each): Technical and competency-based interviews aligned with Blen's values, conducted via Google Meet.\n* Decision & Offer: Post-interview, the hiring team decides. If selected, your recruiter will extend an offer and assist with logistics.\n\n\n\n\n\n$135,000 - $170,000 a yearThe salary range represents the compensation we expect to offer candidates who can perform the core responsibilities with minimal additional training. Actual compensation may vary based on factors such as skill set, level of experience, and scope of responsibility. Our recruitment team is available to discuss your specific salary requirements and to provide more information about how we determine compensation. We are committed to fair and transparent pay practices and encourage open dialogue about our compensation structure throughout the application process. We look forward to learning more about your qualifications and how they align with our framework.\nEqual Opportunity Employer/Protected Veterans/Individuals with Disabilities\nThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c).\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, Docker, DevOps, Java, Cloud, Ruby and Senior jobs that are similar:\n\n $52,500 — $95,000/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\nWashington, DC

\nMemora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Data Engineer. \n\nIn this role, you will have the responsibility of driving the architecture, design and development of our data warehouse and analytics solutions, alongside APIs that allow other internal teams to interact with our data. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.\n\nThis role will work closely with the cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions. Ideal candidates will be driven not only by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare - looking to make a significant impact on healthcare delivery. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.\n\n Primary Responsibilities:\n\n\n* Collaborate with Technical Lead, fellow engineers, Product Managers, QA, and TechOps to develop, test, secure, iterate, and scale complex data infrastructure, data models, data pipelines, APIs and application backend functionality.\n\n* Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions\n\n* Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers\n\n* Manage and pare back technical debts and escalate to Technical Lead and Engineering Manager as needed\n\n* Establish best practices designing, building and maintaining data models.\n\n* Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.\n\n* Develop and maintain solutions to enable self-serve reporting and analytics.\n\n* Build robust, performant ETL/ELT data pipelines.\n\n* Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.\n\n\n\n\nQualifications (Required):\n\n\n* 3+ years experience in shipping, maintaining, and supporting enterprise-grade software products\n\n* 3+ years of data warehousing / analytics engineering\n\n* 3+ years of data modeling experience\n\n* Disciplined in writing readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express), Python (Flask, Django, or FastAPI), or Java.\n\n* Expertise writing, and consuming RESTful APIs\n\n* Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)\n\n* Experience with Data Warehouses (BigQuery, Snowflake, etc.)\n\n* Experience with analytical and reporting tools, such as Looker or Tableau\n\n* Inclination toward test-driven development and test automation\n\n* Experience with scrum methodology\n\n* Excels in mentoring junior engineers\n\n* B.S. in Computer Science or other quantitative fields or related work experience\n\n\n\n\nQualifications (Bonus):\n\n\n* Understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, test coverage and automation, branch and release management)\n\n* Experience with security tooling in SDLC and Security by Design principles\n\n* Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.)\n\n* Experience with an integration framework (Mirth Connect, Mule ESB, Apache Nifi, Boomi, etc..)\n\n* Experience with healthcare data interoperability frameworks (FHIR, HL7, CCDA, etc.)\n\n* Experience with healthcare data sources (EHRs, Claims, etc.)\n\n* Experience working at a startup\n\n\n\n\n\n\nWhat You Get:\n\n\n* An opportunity to work on a rapidly scaling care delivery platform, engaging thousands of patients and care team members and growing 2-3x annually\n\n* Enter a highly collaborative environment and work on the fun challenges of scaling a high-growth startup\n\n* Work alongside world-class clinical, operational, and technical teams to build and scale Memora\n\n* Shape how leading health systems and plans think about modernizing the care delivery experience for their patients and care teams\n\n* Improve the way care is delivered for hundreds of thousands of patients\n\n* Gain deep expertise about healthcare transformation and direct customer exposure with the country’s most innovative health systems and plans\n\n* Ownership over your success and the ability to significantly impact the growth of our company\n\n* Competitive salary and equity compensation with benefits including health, dental, and vision coverage, flexible work hours, paid maternity/paternity leave, bi-annual retreats, Macbook, and a 401(k) plan\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 Design, Python, DevOps, NoSQL, Senior, Engineer and Backend 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