# Senior ML Engineer at CloudBolt Software | Investment |Insight Partners

- Company: CloudBolt Software | Investment |Insight Partners
- What the company does: Build, manage, and optimize cloud and AI infrastructure across hybrid and multi-cloud environments with CloudBolt. Backed by Insight.
- Company website: https://www.cloudbolt.io/
- Type: Startups (AI role)
- Level: Senior
- Location: Rockville, MD, US
- Work setup: On-site
- Pay: $170K to $245K base salary per year (USD)
- Posted: 2026-09-11
- Apply by: 2026-10-26
- Apply: https://recruiting.paylocity.com/Recruiting/Jobs/Details/4482860
- Page: https://www.1752.vc/careers/jobs/cloudbolt-software-investment-insight-partners-senior-ml-engineer/

## About the role

As a remote-first global SaaS company, CloudBolt is committed to fostering a collaborative, inclusive, and high-performing culture where employees can do their best work and make a meaningful impact.

## What they're looking for

- Master's degree or higher in a quantitative field (Computer Science, Machine Learning, Statistics, Applied Mathematics)
- 5+ years of software engineering experience, with at least 3 years building and operating machine learning or statistical systems in production
- Expert-level Python: you write typed, tested, production-grade code, and you're fluent in numpy or similar array-based numerical computing
- Hands-on experience with time-series analysis and forecasting: seasonality, trend decomposition, anomaly detection, and classical statistical methods (percentiles, distributions, smoothing), not just deep learning
- Experience testing ML systems rigorously: regression testing against known-good baselines, behavioral validation, and reasoning about numerical reproducibility
- Working knowledge of Kubernetes: resource requests and limits, autoscaling behavior, and what happens to a workload when it's under-provisioned (OOM kills, CPU throttling)