Senior ML Engineer

Job not on LinkedIn

🔥 17 hours ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $170k - $220k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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CloudBolt Software

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

💳 Fintech

SaaS • Enterprise • Fintech

CloudBolt Software is a provider of cloud management solutions focused on optimizing cloud costs and operations. They specialize in Augmented FinOps, a framework that integrates AI and machine learning insights to enhance financial operations in cloud environments. CloudBolt offers a Cloud Management Platform designed for hybrid cloud management, cloud billing, and service delivery automation. The company's solutions help organizations reduce cloud waste and maximize cloud ROI by enabling intelligent automation and governance across public and private cloud infrastructures, including containerized environments like Kubernetes. Recognized as a strong performer in cloud cost management and optimization by Forrester, CloudBolt's platforms are utilized by enterprises for transforming cloud resource management and improving cost control. Their offerings are aligned towards providing advanced capabilities to support enterprises in their cloud FinOps journey.

📋 Description

• Own the recommendation engine end to end, including model selection, algorithm design, preprocessing, and safety guardrails • Design, evaluate, and productionize time-series forecasting and statistical models for right-sizing Kubernetes workloads across CPU, memory, GPU, and JVM heap • Build and maintain the data-quality layer by detecting and filtering anomalies, load-test windows, startup spikes, and autoscaling artifacts from production telemetry • Define and improve recommendation-quality measurement through regression testing, behavioral validation, and production accuracy and safety metrics • Investigate and resolve recommendation-quality issues from customer environments by tracing data, preprocessing, and model behavior • Serve as the team's machine learning authority and guide technical direction on ML questions and model-versus-heuristic tradeoffs • Write production-grade Python for models and pipelines and share ownership of message consumption, metrics ingestion, and caching services • Prototype and validate new optimization capabilities from research through gradual, feature-flagged rollout • Stay current on time-series forecasting and resource optimization techniques and evaluate which are worth adopting

🎯 Requirements

• Master's degree or higher in a quantitative field (Computer Science, Machine Learning, Statistics, Applied Mathematics) • 5+ years of software engineering experience • At least 3 years building and operating machine learning or statistical systems in production • Expert-level Python, including typed, tested, production-grade code • Fluency in numpy or similar array-based numerical computing • Hands-on experience with time-series analysis and forecasting, including seasonality, trend decomposition, anomaly detection, and classical statistical methods • Experience testing ML systems rigorously, including regression testing against known-good baselines, behavioral validation, and numerical reproducibility • Working knowledge of Kubernetes, including resource requests and limits, autoscaling behavior, OOM kills, and CPU throttling • Comfort owning a production service, including queues, caches, retries, observability, and debugging customer-environment issues from logs and metrics • Clear written and verbal communication • Experience with Prophet or similar forecasting libraries is beneficial • Prometheus/PromQL and experience working with metrics at scale is beneficial • Cloud cost optimization, capacity planning, or infrastructure efficiency background is beneficial • AWS (S3, Managed Prometheus) experience is beneficial • Experience being the ML domain expert on a team of generalists is beneficial

🏖️ Benefits

• Medical/Dental/Vision coverage • 401k with Company Match • Health & Dependent Care FSA • Unlimited PTO • 11 Company Holidays • Volunteer/Community Engagement Day • Tuition Reimbursement • Paid Parental Leave • Equity Grants • Home internet Reimbursement