Job Title

Provision is automating construction. We help contractors speed up their work, reduce risk, and eliminate errors that cost the industry more than $500B every year. Our mission is to make construction more profitable, so society can build more. We are building the most ambitious vision of what is possible with AI in construction. Provision is a YC-backed late Seed stage company with over 10M in recent funding from some of the world''''s best investors and operators in the construction technology space, including YCombinator, Sequoia Capital (via their scout program), DroneDeploy, PlanGrid (acquired by Autodesk), and Cercano (Microsoft Co-Founder Paul Allens fund), formerly known as Vulcan Capital (investors in Uber, Alibaba and Spotify). Come join our team and work alongside builders from Procore, Fidelity, and YC-backed startups who move fast and solve hard problems. Responsibilities Design, build, and deploy end-to-end machine learning models to solve core problems in construction document understanding, risk assessment, and workflow automation. Own and improve our document processing engine, leveraging NLP, Computer Vision, and Large Language Models (LLMs) to extract, structure, and reason about data from thousands of daily documents (plans, specs, reports). Develop and scale core Python libraries, data pipelines, and MLOps infrastructure to support model training, validation, and production inference. Rapidly prototype, benchmark, and productionize advanced AI/ML solutions for construction document understanding, quantifying technical constraints and performance. Optimize the performance, reliability, and scalability of our ML inference services and data processing systems. Implement rigorous testing, monitoring, and validation strategies for ML models and data pipelines to ensure high quality, accuracy, and robustness. Collaborate closely with Product Managers, Software Engineers, and domain experts to identify new AI-driven opportunities and integrate ML models into the core Provision product. Basic Qualifications Bachelor''''s degree in Computer Science, Engineering, Math, Statistics, or a related field and 3+ years of experience in software development or data science; OR 5+ years of professional experience in lieu of a degree. 2+ years of professional, handson experience building, training, and deploying machine learning models in a production environment. Strong proficiency in Python and core data science/ML libraries (e.g., Pandas, NumPy, Scikitlearn, PyTorch, TensorFlow, or similar). Experience with data processing, feature engineering, and working with large datasets. Preferred Skills and Experience 5+ years of working fulltime as a software engineer, machine learning engineer, or data scientist. Deep understanding of and practical experience with NLP, Computer Vision, and/or Large Language Models (LLMs) , including finetuning and retrievalaugmented generation (RAG). Experience with MLOps tools and best practices (e.g., MLflow, Kubeflow, model versioning, experiment tracking). Experience building and maintaining backend services and APIs (e.g., using Django, Flask, FastAPI) to serve ML models. Familiarity working within the modern software development cycle, and following best practices using version control, CI/CD, and conducting code reviews. Strong software design and development skills (the ''''Engineer'''' in Machine Learning Engineer). Experience with containerized solutions such as Docker and Kubernetes. Experience with highly available concurrent systems. Experience with database systems such as Postgres. Strong skills in debugging, performance optimization, and test automation. Desirable Attributes Ability to work effectively in a dynamic environment with changing needs and requirements. Ability to work independently and in a team, take initiative, and communicate effectively. Willing to work extended hours and weekends when needed. You have a high bar for yourself when you perform, and you have a high bar for others around you. You put yourself in the shoes of our users to craft a great experience. You feel a great sense of accountability to yourself and your team. You uphold best practices in engineering, security, and design. You have a bias towards action (if you have a sense of urgency and like getting things done, this is a great place for you). Compensation Salary Range Senior Machine Learning Engineer: $180,000 - $280,000 CAD Your actual level and base salary will be determined on a casebycase basis and may vary based on the following considerations: jobrelated knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at Provision. You may also be eligible for longterm incentives, in the form of company stock, stock options, or longterm cash awards. You will also receive access to a health wallet, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Exempt employees are eligible for 5 days of sick leave per year. Employees accrue paid sick leave pursuant to the Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. Perks & Benefits Flexible work from home policies with up to 2 days per week from home $4,000 in a health spending account (discretionary between health and wellness) Four (4) weeks paid vacation An additional week of paid time may be provided around the Christmas holiday season A monthly educational book reimbursement policy An office downtown Toronto with complimentary gym access About Us We are at the leading edge of innovation in the construction technology space. We are using the latest practices in LLM, data engineering, and workflow automation to build transformational tools that promise to fundamentally change how construction companies operate. Provision was cofounded by Luigi La Corte, who worked as a civil engineer before investing in infrastructure assets at a private equity firm in Toronto, Plenary Americas, and Brendan Ardagh, a trained quantity surveyor and lifelong software engineer who was the CTO of two venturebacked companies in South Africa. Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest. We are committed to continuous improvement, and a diverse and inclusive workplace for all. Provision is an Equal Employment Opportunity employer and employment decisions are based on merit and business needs only. Reasonable accommodation is available for qualified individuals with disabilities, upon request. #J-18808-Ljbffr