Matterport - Senior ML Ops Engineer
Matterport - Senior ML Ops Engineer
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$ 173000 - 213000
1 Vacancy
Job Description
Job Description
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 worlds 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. Weve 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 Matterport:
Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning construction and operations to documentation appraisal and marketing.
About the Role:
As a Senior MLOps Engineer at Matterport a part of CoStar Group you will be pivotal in enhancing the performance efficiency and scalability of our machine learning models. You will be responsible for identifying bottlenecks applying advanced optimization techniques and deploying highly efficient models into production. You will work closely with ML R&D Engineers and other engineering teams to analyze model performance optimize inference speed and resource utilization and ensure the seamless integration of optimized models into our spatial computing platform. This role requires a strong understanding of machine learning principles expertise in model optimization techniques and a passion for pushing the boundaries of whats possible with efficient ML deployment. You will contribute to a product that is revolutionizing how people interact with and understand real estate by ensuring our models are robust fast and deliver exceptional user experiences.
What you will do:
- Analyze and profile machine learning models to identify performance bottlenecks and areas for optimization.
- Implement and apply model optimization techniques such as quantization pruning distillation and neural architecture search to improve inference speed and reduce resource consumption.
- Develop and integrate specialized libraries and tools for efficient model execution on various hardware platforms (e.g. GPUs CPUs edge devices).
- Collaborate with ML R&D Engineers to understand model architectures training procedures and deployment requirements.
- Design and conduct experiments to measure the impact of optimization techniques on model performance and accuracy.
- Automate model optimization workflows and build robust continuous integration/continuous deployment (CI/CD) pipelines for optimized models.
- Stay up-to-date with the latest research and industry trends in ML model optimization hardware acceleration and efficient AI.
- Contribute to the continuous improvement of MLOps practices and infrastructure for model deployment and monitoring.
- Ensure the scalability and reliability of optimized models in production environments.
Basic Qualifications:
- Bachelors degree in Computer Science Data Science Engineering or a related quantitative field or equivalent practical experience.
- 3 years of experience in machine learning engineering with a focus on model optimization and deployment.
- Proficiency in Python and strong programming skills.
- Experience with machine learning frameworks (e.g. TensorFlow PyTorch) and optimization libraries.
- Solid understanding of machine learning algorithms model architectures and deep learning concepts.
- Experience with cloud platforms (e.g. AWS Azure GCP) and deploying ML models in cloud environments.
- Familiarity with version control systems (e.g. Git) and agile development methodologies.
- Excellent problem-solving skills and attention to detail particularly in model performance and accuracy.
- Strong verbal and written communication skills.
Preferred Qualifications:
- Masters degree in Computer Science Data Science or a related quantitative field.
- 5 years of industry experience in ML Model Optimization ML Engineering or MLOps particularly with large-scale 2D/3D computer vision models.
- Experience with hardware-aware model optimization and deployment to edge devices.
- Knowledge of model compression techniques and their practical application.
- Experience with workflow orchestration tools (e.g. Temporal Airflow Kubeflow).
- Familiarity with containerization technologies (e.g. Docker Kubernetes).
- Demonstrated ability to build and maintain robust scalable and automated ML model deployment pipelines.
- Experience working in a fast-paced R&D environment.
- Excellent communication skills both written and verbal with the ability to articulate complex technical concepts to diverse audiences.
Perks & Benefits:
When you join CoStar Group youll 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.
Our benefits package includes (but is not limited to):
- 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
- Access to CoStar Groups Culture Employee Resource Groups
- Complimentary in office gourmet coffee tea hot chocolate fresh fruit and other healthy snacks
Pay Transparency:
This position offers an annual OTE pay range from $173000 - 213000 determined by relevant skills and experience in addition to uncapped commission opportunities and a generous benefits plan.
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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
Required Experience:
Senior IC
Employment Type
Full-Time
