Job Description

The construction vertical is ripe for technological innovation. Construction impacts the lives of nearly everyone in the world, and the introduction of Large Language Models (LLMs) is creating new opportunities for informing, assisting, and guiding our customers. Procore is leading the market with our SaaS construction platform. We build for real people with real experiences, empowering Groundbreakers to develop and transform the communities where we all live.

We’re looking for a Senior Machine Learning Engineer to join Procore’s Product & Technology Team. Procore software solutions aim to improve the lives of everyone in construction and the people within Product & Technology are the driving force behind our innovative, top-rated global platform. We’re a customer-centric group that encompasses engineering, product, product design and data, security and business systems. The Senior Machine Learning Engineer will advance the future of Construction Intelligence.  As a member of our Copilot 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 Senior 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 Manger, Software Engineering in the Copilot team and is based in our Austin, TX 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 develop, productionize, 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, enable 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: 

• 5+ years of industry experience in applied Machine Learning. Relevant graduate degrees (MS or PhD) may substitute for 2-4 years of experience.
• Exceptional written and verbal communication skills
• Strong programming ( Python / Java / C++ or equivalent) and data engineering skills 
• Strong understanding in the machine learning and data science technical ecosystems (e.g., Tensorflow, Pytorch, MLflow, Ray, LangChain, Data lake house (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 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: experienced in construction technologies and software

Additional Information

Base Pay Range $156,400 - $215,050. Eligible for Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation, and has provided an estimated pay range for this role. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.

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 candidates or employees on the basis of gender, sex, national origin, civil status, family status, sexual orientation, religion, age, disability, race, traveler community, status as a protected veteran or any other classification protected by law.

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For Los Angeles County (unincorporated) Candidates:

Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.