Lead and manage the ML Production Engineering team, optimizing ML Ops and Dev Ops, collaborating with engineers to develop scalable machine learning pipelines and processes.
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
About the Role:
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.
Responsibilities:
- 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
Basic Qualifications:
- Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.
- A track record of commitment to prior employers.
- 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
What’s In It For You?
- When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
- We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program.
- Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
- Life, legal, and supplementary insurance
- Virtual and in person mental health counseling services for individuals and family
- Commuter and parking benefits
- 401(K) retirement plan with matching contributions
- Employee stock purchase plan
- Paid time off
- Tuition reimbursement
- On-site fitness center and/or reimbursed fitness center membership costs (location dependent)
- Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
- Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
Our benefits package includes (but is not limited to):
Top Skills
Ansible
AWS
CloudFormation
Detectron
Docker
Hive
Kubeflow
Kubernetes
Mlflow
Mmdetection
MongoDB
MySQL
Postgres
Python
PyTorch
Pytorch Lightning
Snowflake
Spark
TensorFlow
Terraform
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