Job Description
We're looking for a Staff Machine Learning Engineer to advance the future of Construction Intelligence. As a member of our AI team, you'll help deliver the future of our next-generation insights, recommendations, and automated experiences. You will deliver AI capabilities to everyone in construction on a global platform.
As a Staff Machine Learning Engineer, you'll create prototypes, explore the latest in LLM technologies, and build production-level services. We have a rich dataset of terabytes of data from being the leader in construction management software for over twenty years. This position is a great opportunity to use your machine learning, data engineering, and AWS cloud service skills to enable machine learning as a service at scale at Procore.
This position reports to the Executive Director (India) in the Resource Management division and has the opportunity to work remotely/hybrid from our Bengaluru or Pune office. We're looking for someone to join our team immediately.
What you'll do:
Work with large-scale structured and unstructured data, build and continuously improve cutting-edge Machine Learning models for Procore product, business, and operational use cases.
Evaluate and train Large Language Models (LLMs), traditional language models such as BERT, and other machine learning models such as XGBoost.
Hands-on development, production, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating, and high-performing Machine Learning systems, enabling fast model development, low-latency serving, and ease of model quality upkeep.
Practice continuous delivery / continuous integration methodologies using tools like CircleCI, SonarQube, and JFrog for testing, deployment, and promotion to production
Design, build, and deploy APIs to serve predictive insights tailored to our construction data sets.
Work collaboratively with cross-functional partners including software engineers, product managers, operations, and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
What we're looking for:
9+ years of industry experience in applied Machine Learning, inclusive Bachelor/Master or Ph.D. in relevant fields
Exceptional written and verbal communication skills
Strong programming ( Python / Java / C++ or equivalent) and data engineering skills
Strong understanding of the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data Lakehouse (Databricks), Snowflake, SageMaker, Scikit-learn, etc)
Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization), and a strong desire to further pursue natural language processing techniques, including LLMs.
Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
Understand the cost of software development/tech debt and long-term maintenance
Passion for customers and seeking a deep understanding of end-user problems as well as competitive and market trends in the AI space
Nice to have: experience in construction technologies and software
Additional Information
Perks & Benefits
At Procore, we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development programs, learn more details about what we offer and how we empower you to be your best.
About Us
Procore Technologies is building the software that builds the world. We provide cloud-based construction management software that helps clients more efficiently build skyscrapers, hospitals, retail centers, airports, housing complexes, and more. At Procore, we have worked hard to create and maintain a culture where you can own your work and are encouraged and given resources to try new ideas. Check us out on Glassdoor to see what others are saying about working at Procore.
We are an equal-opportunity employer and welcome builders of all backgrounds. We thrive in a diverse, dynamic, and inclusive environment. We do not tolerate discrimination against employees on the basis of age, color, disability, gender, gender identity or expression, marital status, national origin, political affiliation, race, religion, sexual orientation, veteran status, or any other classification protected by law.
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