Machine Learning Engineer

Opportunity

Are you interested in joining a young, rapidly growing startup in one of its most crucial positions? Then we think you’ll be interested in our Machine Learning Engineer position at Housing.Cloud.

Housing.Cloud is building tomorrow’s student housing platform with today’s most innovative schools and cutting-edge technologies. We are a rapidly growing startup backed by top VCs, and the Machine Learning Engineer position is crucial to the continued growth of the company.

This is a remote role that can be conducted from any location in the United States. We’re a transparent organization, with our company handbook, core values, methodology, strategy, and roadmap available for all employees to read and contribute to.

Position Description

The Machine Learning Engineer at Housing.cloud is responsible for developing, deploying, and optimizing machine learning models that enhance the platform's predictive capabilities. The role includes working with large-scale datasets, building algorithms to improve user recommendations, conducting A/B testing for model performance, and collaborating closely with the data science and engineering teams to integrate ML solutions into the product.

Responsibilities

• Model Development: Design and implement machine learning models for use cases such as predictive analytics, resource optimization, and user personalization.

• Data Preparation: Gather, preprocess, and clean large datasets from diverse sources, ensuring data quality and readiness for modeling.

• Deployment & Integration: Deploy ML models into production environments, ensuring seamless integration with Housing.Cloud’s platform and backend systems.

• Performance Optimization: Continuously monitor and fine-tune models to improve accuracy, efficiency, and scalability.

• Collaboration: Work closely with product, engineering, and data teams to align machine learning initiatives with business goals and user needs.

• Research & Experimentation: Stay up-to-date with advancements in AI/ML technologies, testing and implementing new techniques to drive innovation.

• Documentation: Maintain comprehensive documentation for all models, pipelines, and processes to ensure reproducibility and collaboration.

Qualifications

• 3+ years of experience in machine learning or data science roles, with a proven track record of deploying models in production.

• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, and experience with cloud platforms like AWS or GCP.

• Strong coding skills in Python and familiarity with SQL for data querying and manipulation.

• Experience working with large datasets, preprocessing pipelines, and data visualization tools.

• Hands-on experience with deploying and maintaining models in production environments, including containerization tools like Docker and orchestration platforms like Kubernetes.

• Strong mathematical foundation in statistics, linear algebra, and optimization techniques.

• Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience.

Preferred Qualifications

• Familiarity with the challenges of implementing AI solutions for educational institutions or similar industries.

• Knowledge of deep learning architectures and their applications in natural language processing (NLP) or computer vision.

Benefits

• Competitive base salary.

• Opportunity to earn equity options based on performance.

• Flexible PTO.

• Health, dental, and vision coverage.

• Collaborative and inclusive company culture.

• The chance to make a real impact by helping institutions improve their housing services through cutting-edge technology.

Housing.Cloud is an equal opportunity employer committed to fostering diversity and inclusion in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, or other protected characteristics. We are dedicated to providing reasonable accommodations to applicants and employees with disabilities to ensure they can fully participate in our hiring process and perform their job duties. Our commitment extends to creating an accessible and supportive environment where everyone can thrive.

Applicants must be eligible to work in the United States and must reside within the United States to be considered for this position.