Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Sr. Mgr / Dir. of ML Production Engineering image - Rise Careers
Job details

Sr. Mgr / Dir. of ML Production Engineering

Matterport 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.  


What you will do:
  • Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.
  • Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.
  • Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.
  • Lead by example as a working manager with strong hands-on engineering fundamentals.
  • Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.
  • Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.
  • Work with cross-functional teams across Product, Sales, Customer Success and Business Development
  • Advocate for new technical architecture and innovation 
  • Implement and refine development and cross-functional processes
  • Hire, mentor, lead, and coach senior and principal engineers to meet their full potential
  • Act as a leader for implementing best-practices across the organization


Who you bring:
  • Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.
  • 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.
  • Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.
  • 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.
  • Strong experience with AWS cloud services
  • Strong knowledge of data management processes for large-scale machine learning datasets.
  • Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.
  • Strong knowledge of software engineering best practices, including version control, testing, and deployment.
  • Experience with model quantization, distillation or other compression techniques.
  • Excellent communication and collaboration skills.


Nice to Have:
  • Master's degree or PhD in Computer Science, or related field
  • Strong knowledge of C++
  • Experience with 3D graphics, computer vision, point clouds, or spatial data
  • Experience with data streaming and real-time processing frameworks such as Kafka
  • Experience with ML dataset management tooling, such as Activeloop Deeplake.
  • Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.
  • Experience with big data technologies such as Snowflake, Spark, or Hive.
  • Experience with model interpretability and explainability techniques.
  • Experience with building and deploying machine learning models on edge devices or IoT devices

We 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.


The 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.


Perks & Benefits
  • Comprehensive health plans* – 100% of premiums covered for employees & 88% of dependent premiums for US employees
  • 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!
  • 401k,  Company ownership in the form of RSU’s & ESPP Program
  • Medical and retirement benefits vary by Country 
  • For more detail visit www.matterport.com/careers 


Belief in Diversity


At 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.


Matterport 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


For more information regarding how Matterport collects and uses personal information, please review our Privacy Policies. https://matterport.com/privacy-policy


Matterport Glassdoor Company Review
3.2 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon Glassdoor star icon
Matterport DE&I Review
3.6 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon Glassdoor star icon
CEO of Matterport
Matterport CEO photo
RJ Pittman
Approve of CEO

Average salary estimate

$227050 / YEARLY (est.)
min
max
$160000K
$294100K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Mgr / Dir. of ML Production Engineering, Matterport

Matterport is on the lookout for a Sr. Manager of ML Production Engineering to join our Vision & Learning team. This is a fantastic opportunity for a passionate leader who enjoys navigating dynamic environments while guiding a talented group of engineers to enhance our ML Ops and Dev Ops practices for both new and existing projects. In this role, you'll take charge of overseeing the ML Production Engineering function and team that supports our cutting-edge 3D reconstruction pipeline. Your responsibilities will include designing and implementing robust machine learning pipelines, creating monitoring and testing frameworks, and managing data processes efficiently. Collaboration is key here, as you'll work closely with machine learning engineers and data scientists to ensure our models integrate seamlessly into our applications. Reporting directly to the Software Vice President for Vision & Learning, you’ll bring valuable technical expertise across various domains like Cloud Architecture and Distributed Systems. If you thrive on leading cross-functional projects, fostering innovation, and nurturing senior engineers to reach their fullest potential, we welcome you to be part of our inclusive team at Matterport. Your journey will directly influence the future of spatial data technology, so if you're ready to step into a role that combines vision with deep technical skills, we want to hear from you!

Frequently Asked Questions (FAQs) for Sr. Mgr / Dir. of ML Production Engineering Role at Matterport
What are the responsibilities of a Sr. Manager of ML Production Engineering at Matterport?

As a Sr. Manager of ML Production Engineering at Matterport, you will lead the ML Production Engineering function and team, manage cross-functional engineering projects, and ensure the effective integration of machine learning models into our applications. You'll collaborate with engineers and scientists to develop scalable ML pipelines and advocate for new architectures while optimizing existing capabilities.

Join Rise to see the full answer
What qualifications do I need to become a Sr. Manager of ML Production Engineering at Matterport?

Matterport requires candidates for the Sr. Manager of ML Production Engineering role to have a Master's degree in Computer Science or related fields and substantial experience in software engineering, Dev Ops, and ML Ops. Proficiency in Python, machine learning frameworks, and strong knowledge of cloud services like AWS are also essential.

Join Rise to see the full answer
How does Matterport support the professional growth of its Sr. Manager of ML Production Engineering?

At Matterport, a focus on development is paramount. As the Sr. Manager of ML Production Engineering, you'll have the opportunity to hire, mentor, and coach other engineers, allowing you to foster their professional growth. The company encourages continuous learning and innovation, which enhances your leadership skills and technical expertise.

Join Rise to see the full answer
What can I expect in the work environment at Matterport as a Sr. Manager of ML Production Engineering?

Matterport prides itself on a collaborative and inclusive work environment. As a Sr. Manager of ML Production Engineering, you will work with cross-functional teams across Product, Sales, and Customer Success, addressing dynamic challenges together. Matterport's commitment to diversity ensures that every voice is heard, contributing to a culture of innovation.

Join Rise to see the full answer
What are the key technical skills needed for the Sr. Manager of ML Production Engineering role at Matterport?

To be successful as a Sr. Manager of ML Production Engineering at Matterport, proficiency in Python and familiarity with machine learning frameworks like TensorFlow and PyTorch are crucial. Additionally, knowledge of DevOps practices, containerization tools such as Docker, and cloud services like AWS will empower you to lead effectively in this role.

Join Rise to see the full answer
Common Interview Questions for Sr. Mgr / Dir. of ML Production Engineering
Can you describe a successful machine learning project you led?

When answering this question, focus on a project where you impacted results significantly. Discuss your role in leading the project, the methods used, challenges faced, and how you ensured successful deployment. Highlight collaboration with teams and innovations introduced.

Join Rise to see the full answer
How do you ensure seamless integration of machine learning models into applications?

Explain your approach to collaboration between development and deployment teams. Discuss the importance of clear communication, automated testing, and continuous integration. Mention specific tools or frameworks you preferred for smooth transitions.

Join Rise to see the full answer
What strategies do you use for managing cross-functional teams?

Share your approach to leadership, focusing on fostering open communication and collaboration. Discuss how you actively involve all stakeholders, set clear objectives, and encourage team participation to ensure everyone is aligned.

Join Rise to see the full answer
How do you approach mentoring senior engineers?

Talk about your belief in fostering growth through empowerment. Highlight your methods for identifying strengths, providing constructive feedback, and offering resources or challenges that promote skill development and confidence.

Join Rise to see the full answer
What experience do you have with cloud architecture, and how have you applied it in your previous roles?

Discuss relevant projects you've worked on, highlighting your familiarity with cloud providers like AWS. Explain how you utilized cloud architecture to improve scalability, performance, and deployment of machine learning models.

Join Rise to see the full answer
Can you explain your understanding of machine learning pipelines?

Detail the components involved in building an efficient ML pipeline, including data collection, preprocessing, training, validation, and the deployment stages. Mention any specific models or frameworks you've used, emphasizing your practical experience.

Join Rise to see the full answer
How do you handle tight deadlines and high-stress situations?

Describe your process for prioritization and time management in high-pressure environments. Highlight specific strategies you use to maintain productivity and team morale while ensuring project goals are met.

Join Rise to see the full answer
What are your favorite methods for staying updated on advancements in ML and AI?

Share a combination of resources you regularly utilize, such as research papers, online courses, webinars, and community engagements. Mention any influential figures in the industry and how they inspire your work.

Join Rise to see the full answer
What kind of technical documentation do you consider critical for ML operations?

Discuss your belief in comprehensive documentation that supports various aspects like deployment procedures, data management practices, and project specifications. Emphasize the importance of clear, accessible documentation for team collaboration.

Join Rise to see the full answer
How would you approach implementing new innovations in an established system?

Talk about your methodology for researching, testing, and integrating new technologies into existing systems while minimizing disruptions. Describe how you gauge team readiness and foster an environment receptive to change.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 14 days ago
Mission Driven
Social Impact Driven
Passion for Exploration
Reward & Recognition
Photo of the Rise User
Lucidworks Remote No location specified
Posted 5 days ago
Photo of the Rise User
LogicGate Remote Remote - United States
Posted 12 days ago
Dental Insurance
Disability Insurance
Vision Insurance
Performance Bonus
Family Medical Leave
Paid Holidays
Sabbatical
Photo of the Rise User
Posted 6 days ago
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Customer-Centric
Social Impact Driven
Passion for Exploration
Family Medical Leave
Maternity Leave
Paternity Leave
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Photo of the Rise User
Mission Driven
Social Impact Driven
Passion for Exploration
Reward & Recognition

Our mission is to establish 3D models as a primary medium for experiencing, sharing, and reimagining the world.

72 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
January 14, 2025

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!