\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

\nYour wellbeing matters. Join a company that cares.\n\nGET TO KNOW US\n\nWellhub (formerly Gympass*) is a corporate wellness platform that connects employees to the best partners for fitness, mindfulness, therapy, nutrition, and sleep, all included in one subscription designed to cost less than each individual partner. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 countries. At Wellhub, you have the opportunity to build a career in a high-growth tech company that places wellbeing at the foundation of its culture, and contribute to making every company a wellness company. \n\n*Big news: Gympass is now Wellhub! \nWe are thrilled to announce our rebranding as Wellhub, marking a significant milestone in our journey. This transformation reflects our evolution from a “pass for gyms” to a comprehensive employee wellbeing solution. With our refreshed identity, we are poised to embark on an exciting new chapter of growth and expansion. We are elevating our offerings, including a completely new app experience and an expanded network of wellbeing partners. Learn more about it here. \n\nTHE OPPORTUNITY\n\nWe are hiring a Director Data Scientist for our GenAI team in Portugal!\n\n\nOur GenAI team leverages advanced AI technologies to personalize user experiences, streamline operations, and optimize resources, acting as a hub for innovation while enabling Wellhub to harness the full potential of generative AI across multiple domains.\n\nWe are looking for a talented and motivated Director Data Scientist to join us and contribute to groundbreaking projects in the field of Generative AI. \nYOUR IMPACT\n\nAs the Data Science Director specializing in Generative AI, you will spearhead the strategy, development, and deployment of AI models that can generate content, solutions, and insights across various domains. You will lead a multidisciplinary team of data scientists and domain experts, guiding them to create innovative AI applications that solve real-world problems and push the boundaries of what AI can achieve.\n\n\nStrategic Leadership: Define the vision and strategic roadmap for the GenAI data science team, aligning projects with business objectives and ensuring the delivery of high-impact AI solutions.\n\nModel Development Oversight: Lead the design, implementation, and optimization of generative models using advanced machine learning and deep learning techniques, including GANs, VAEs, autoregressive models, and transformers. Provide technical guidance to the team to ensure best practices in model development.\n\nInnovation and Research: Drive research initiatives to stay at the forefront of generative AI, fostering a culture of innovation. Evaluate and integrate the latest advancements in the field to maintain a competitive edge.\n\nCollaboration and Stakeholder Management: Partner with cross-functional teams, including product management, engineering, and operations, to integrate generative models into products and services. Ensure that AI solutions meet business goals and user needs.\n\nTeam Development and Mentorship: Build and mentor a high-performing data science team. Provide career development opportunities, technical training, and foster a collaborative environment.\n\nModel Fine-Tuning and Optimization: Oversee the fine-tuning of pre-trained models to adapt to specific use cases and requirements, ensuring optimal performance. Guide the team in data annotation, preprocessing, and customization of models for various applications.\n\nPrompt Engineering and Evaluation: Guide the development and refinement of prompts to enhance the performance and output quality of generative models. Establish and oversee rigorous testing and evaluation frameworks to assess model performance, robustness, and reliability.\n\nDeployment and Scalability: Collaborate with engineering leaders to ensure the scalable and efficient deployment of models in production environments. Drive the adoption of best practices in ML Ops and model lifecycle management.\n\nDocumentation and Knowledge Sharing: Ensure comprehensive documentation of models, algorithms, experiments, and processes to support reproducibility and foster a culture of knowledge sharing within the team and organization.\n\nLeadership:\n\n\n* Lead a team of highly autonomous, proactive and motivated data scientists.\n\n* Periodically monitor and own your team’s health, while promoting a highly psychologically safe environment which welcomes ideas and different points of view.\n\n* Drive critical projects from the architectural design to implementation.\n\n* Plan and successfully deliver cross team projects.\n\n* Provide estimates on efforts and risks, evaluating technical feasibility on cross-functional high-impact projects.\n\n\n\n\n\nLive the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.\n\n\n\nWHO YOU ARE\n\n\nAdvanced Degree: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field.\n\nTechnical Expertise: Extensive experience in Python and machine learning frameworks such as TensorFlow, PyTorch, or similar. Deep knowledge of generative models, including GANs, VAEs, autoregressive models, and transformers.\n\nLeadership Experience: Proven experience leading data science teams, with a track record of delivering high-impact AI solutions in production environments.\n\nStrategic Thinking: Strong problem-solving abilities, with a focus on strategic planning, experimental design, and data analysis. Ability to align technical efforts with business objectives.\n\nCommunication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and executive leadership.\n\nThe following are preferred qualifications:\n\n\nExpertise in model fine-tuning, hyperparameter optimization, and deployment.\n\nProven track record of developing and deploying generative AI models in production environments.\n\nFamiliarity with natural language processing (NLP) and/or computer vision applications.\n\nExperience with vector databases for handling high-dimensional data.\n\n\n\n\n\n\n\n\nWe recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience leading data science teams working in AI solutions and extensive experience in Python and machine learning frameworks are mandatory requirements. \n \nWHAT WE OFFER YOU \n\nWe're a wellness company that is committed to the health and well-being of our employees. Our benefits include:\n\nWELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing too. Access digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more. You will receive the Gold plan at no cost, and other premium plans will be significantly discounted.\n\nFITNESS: Additional fitness subsidy to access onsite gyms and fitness studios.\n\nFLEXIBLE WORK: Choose when and where you work. For most, this will be a hybrid office/remote structure, but can vary depending on the needs of the role and employee preferences. We offer all employees a home office stipend and a monthly flexible work allowance to cover the costs of working from home. \n\n+ Our offices are in Germany, Italy, Netherlands, Portugal, Romania, Spain, and the UK. You can work from any office or remotely based in any of these countries.\n\nFLEXIBLE SCHEDULE: We understand that together, Wellhubbers and their leaders can make the best decisions for their own individual scopes. This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs.\n\nPAID TIME OFF: We know how important it is to take time away from work to recharge. Employees receive a minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!).\n\nPARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life and we want our employees to take the time to be present and enjoy their growing family. We offer 100% paid parental leave to all new parents and extended maternity leave.\n\nCAREER GROWTH: Outstanding opportunities for personal and career growth. That means we maintain a growth mindset in everything we do and invest deeply in employee development.\n\nCULTURE: An exciting and supportive environment filled with passionate individuals from all over the world! You’ll partner with global colleagues and share in the success of a high-growth technology company disrupting the health and wellness space. Our value-based culture of trust, flexibility, and integrity makes this possible every day. Find more info on our careers page! \n\n \n\nAnd to get a glimpse of Life at Wellhub… Follow us on Instagram @wellhublife and LinkedIn!\nDiversity, Equity, and Belonging at Wellhub\n\nWe aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.\n\nWellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.\n\nQuestions on how we treat your personal data? See our Job Applicant Privacy Notice.\n\n#LI-REMOTE\n\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 and Python jobs that are similar:\n\n $40,000 — $70,000/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\nLisbon, Lisbon, Portugal