Senior Machine Learning Engineer, Procore
$156.4-215.1k
Plus equity
Construction management platform
Job no longer available
Construction management platform
1001+ employees
Job no longer available
$156.4-215.1k
Plus equity
1001+ employees
Company mission
To forge a better future for everyone in construction.
Role
Who you are
- 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
- 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
What the job involves
- We’re looking for a Senior Machine Learning Engineer to 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 will report to the Manager of the Copilot Team and is based in our Austin, TX office. We’re looking for someone to join our team immediately
- 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
Our take
Construction tech company Procore offers a cloud-based construction management platform. With substantial productivity gains and cost reductions on the table for construction companies that digitize more efficiently, Procore’s offerings are an attractive prospect for those operating in the industry.
Founded in 2002, Procore now serves over 150 countries, providing a range of products for preconstruction, project management, and resource and financial management. Its platform is built atop multi-zone cloud infrastructure, and is able to house every app, document, and person involved in projects, providing visibility that simplifies processes for everyone involved.
With promising stock performance and a legacy position in the construction tech sector, Procore seems likely to continue a steady upward trajectory in this growing market. On top of this, the company published its first Environmental, Social and Governance report in 2022, highlighting its commitment to work towards a more sustainable future, and has continued to develop integrations and partnerships to improve its offerings.
Steph
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
May 2020
$150m
LATE VC
Sep 2019
$94.9m
SERIES I
Total funding: $567.8m
Company benefits
- Physical and Mental Wellness Support: With comprehensive healthcare benefits, long-term disability, life insurance and other resources.
- Values-Driven Paid Time Off: Based on openness, ownership and optimism – take the time you need when you need it.
- Retirement Benefits: Such as a 401k or RRSP with employer contribution (varies by country).
- Employee Stock Purchase Plan: Exclusively for eligible employees to purchase discounted shares of PCOR stock.
- Employee Enrichment Program: With classes and programs for personal and professional development.
- Procore Perks: A reimbursable stipend for purpose-driven goods and services that support work/life well-being and physical and financial wellness.
- Family Building Benefits: Including fertility treatments (with some medical plans) and cash benefits to support adoption and surrogacy for all eligible U.S. employees.
Company HQ
Carpinteria, CA
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