Machine Learning Engineer II

🔥 20 hours ago

🇺🇸 United States – Remote

💵 $90k - $170k / year

⏰ Full Time

🟢 Junior

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• Join a product team and contribute to software design, algorithm design, and the overall product lifecycle • Pair daily with product team members while working through user stories and supporting evolving products • Design and implement AI/ML algorithms embedded directly into software products • Perform integration, design, and development using Home Depot process techniques • Interface with business stakeholders, technology infrastructure teams, and development teams to meet business requirements • Perform performance tuning, testing, and product monitoring • Conduct customer outreach, design ML educational materials, and perform data engineering • Create, support, and deploy production applications • Review submitted code and provide feedback based on best practices • Collaborate with UX, engineering, and product management to create secure, reliable, scalable machine learning solutions • Document, review, and ensure quality and change control standards are met • Create developer-ready, understandable, and testable user stories with the product team • Write custom code or scripts to automate infrastructure, monitoring services, and test cases • Conduct destructive testing to ensure production resiliency • Configure and modify programs and set up large projects using approved methodology • Configure commercial off-the-shelf solutions to align with evolving business needs • Create dashboards, logging, alerting, and responses to proactively capture and address issues • Participate in learning activities and communities of practice around modern software design, machine learning, and development • Field questions from product and support teams • Monitor tools and encourage collaboration across product teams • Provide application support for production software • Monitor production Service Level Objectives • Review performance and capacity across code, infrastructure, data, message processing, and prediction quality • Report to a Software Engineer Manager or Senior Software Engineer Manager; no direct reports

🎯 Requirements

• Must be eighteen years of age or older • Must be legally permitted to work in the United States • Minimum education: high school diploma and/or GED • Minimum 1 year of work experience • Experience in a modern scripting language, preferably Python • Experience in effective data engineering practices and big data platforms such as BigQuery and Data Store • Experience with modern web application frameworks such as Node.js • Experience with front-end technologies and frameworks such as HTML, CCS, JavaScript, ReactJS, and D3 • Experience writing SQL queries against a relational database • Experience with version control systems, preferably Git • Familiarity with clustering, forecasting, anomaly detection, and neural networks • Familiarity with basic statistics and regression algorithms • Familiarity with advanced statistics such as Bayesian statistics • Familiarity with data analysis and machine learning tools and libraries such as Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, and PyTorch • Familiarity with Google Cloud Platform and AI/ML components such as Vertex AI, BigQueryML, and AutoML • Familiarity with Linux or Unix-based environments • Familiarity with CI/CD toolchains • Familiarity with REST and effective web service design • Familiarity with production systems design, including high availability, disaster recovery, performance, efficiency, and security

🏖️ Benefits

• Remote/Virtual work arrangement • Overnight travel typically limited to 5% to 20% of the time

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume