Staff Machine Learning Engineer

November 13

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+26 more states

🌵 Arizona – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote

💵 $177.8k - $222k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Niche

WebsiteLinkedInAll Job Openings

Education • Marketplace • Non-profit

Niche is a platform that simplifies the search for educational institutions, ranging from K-12 schools to colleges and graduate schools. It provides users with data, reviews, and insights to help them find schools that fit their individual needs. Niche offers tools for comparing schools, tracking the application process, and accessing scholarships and financial aid information, making it easier for students and families to navigate the education landscape.

201 - 500 employees

Founded 2002

📚 Education

🏪 Marketplace

🤝 Non-profit

📋 Description

• Collaborate closely with product, engineering, data analytics, and business stakeholders to identify and prioritize the most impactful ML opportunities that align with Niche's strategic goals • Lead the end-to-end development of machine learning models – from data collection and feature engineering to algorithm selection, training, tuning, and validation • Develop production-grade code and systems to deploy, serve, and monitor ML models at scale, ensuring reliability and performance • Define key performance metrics, establish robust monitoring frameworks, analyze model performance in production, and drive continuous improvement through iteration and experimentation • Clearly communicate complex ML concepts, model behaviors, and results to both technical and non-technical audiences • Establish ML development best practices, coding standards, and documentation • Stay abreast of the latest advancements in machine learning, data science, and MLOps, evaluating and potentially adopting new technologies and techniques relevant to Niche

🎯 Requirements

• 8+ years of professional experience in software development or data science, with at least 5+ years specifically focused on building and deploying machine learning models in a production environment • Demonstrable track record of successfully shipping multiple machine learning models that resulted in measurable business growth (e.g., increased user engagement, conversion rates, operational efficiency, revenue) • Expertise in Python and common ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras, XGBoost) • Deep understanding of core ML concepts (e.g., classification, regression, clustering, recommendation systems, NLP, time series analysis, experimentation, model evaluation) • Strong SQL skills and experience working with large datasets and data processing tools (e.g., Pandas, Spark) • Experience with ML deployment patterns and MLOps principles (e.g., model serving, monitoring, CI/CD for ML, feature stores) • Familiarity with cloud platforms (AWS, GCP, Azure) is essential • MS or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, OR equivalent practical experience demonstrating deep expertise in machine learning

🏖️ Benefits

• Best-in-class 100% paid employee health plan, including vision and dental and supplemental coverage • Flexible Paid Time Off Policy • Stipend that allows you to build your work from home office in a style and function that suits your personal preferences • Parental leave for all employees (12 weeks fully paid) in addition to short term disability for birthing parents • Meaningful 401(k) with employer match