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Staff Machine Learning Engineer
Material Security. Design, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails).
Tech Stack
Tools & technologiesAWSCloudDockerGoogle Cloud PlatformKubernetesPandas
About the role
Key responsibilities & impact- Design, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails).
- Write production-level code to convert your ML models into working pipelines and participate in code reviews to ensure code quality and distribute knowledge.
- Architect scalable, reliable, and maintainable machine learning pipelines, integrating seamlessly with existing backend systems.
- Explore recent advancements in generative AI and LLMs as potential additions to our detection capabilities.
- Work closely with machine learning engineers, product managers, designers, data scientists, and software engineers to align machine learning initiatives with business goals.
- Stay ahead of the curve by exploring new algorithms, technologies, and frameworks to enhance our detection models.
- Contribute to great engineering culture through active participation and mentorship.
Requirements
What you’ll need- B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience.
- 8+ years (or Ph.D. with 6+ years) of experience in machine learning, data science, or related fields, with at least 3 years in a senior or staff engineering role.
- Deep understanding of supervised/unsupervised learning techniques and LLMs
- Strong experience writing efficient and effective data pipelines.
- Practical knowledge of how to build efficient end-to-end ML workflows and a strong drive to own the entire process of model development from conception through deployment, to maintenance.
- Experience with machine learning libraries (e.g., scikit, Pandas)
- Nice to have experience in API development on top of a fast API
- Nice to have experience tracking text embedding modeling
- Nice to have strong knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Material Security Website LinkedIn All Job Openings 11 - 50 employees Founded 2017 🔒 Cybersecurity 🔐 Security Cybersecurity
- Software
- Security Material Security is a cybersecurity company focused on multi-layered detection and response solutions specifically for email. It offers products that provide phishing protection, identity protection, and data protection for emails and Google Drive. The company's solutions are designed to detect, contain, and prevent email account takeovers, block unauthorized access, and govern email data. Material Security utilizes advanced technologies including AI and behavioral analysis to enhance security across email platforms like Microsoft 365 and Google Workspace. Staff Machine Learning Engineer Job not on LinkedIn 🔥 4 minutes ago 🇺🇸 United States – Remote 💵 $225k - $255k / year ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer AWS Cloud Docker Google Cloud Platform Kubernetes Pandas Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails).
- Write production-level code to convert your ML models into working pipelines and participate in code reviews to ensure code quality and distribute knowledge.
- Architect scalable, reliable, and maintainable machine learning pipelines, integrating seamlessly with existing backend systems.
- Explore recent advancements in generative AI and LLMs as potential additions to our detection capabilities.
- Work closely with machine learning engineers, product managers, designers, data scientists, and software engineers to align machine learning initiatives with business goals.
- Stay ahead of the curve by exploring new algorithms, technologies, and frameworks to enhance our detection models.
- Contribute to great engineering culture through active participation and mentorship. 🎯 Requirements
- B.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience.
- 8+ years (or Ph.D. with 6+ years) of experience in machine learning, data science, or related fields, with at least 3 years in a senior or staff engineering role.
- Deep understanding of supervised/unsupervised learning techniques and LLMs
- Strong experience writing efficient and effective data pipelines.
- Practical knowledge of how to build efficient end-to-end ML workflows and a strong drive to own the entire process of model development from conception through deployment, to maintenance.
- Experience with machine learning libraries (e.g., scikit, Pandas)
- Nice to have experience in API development on top of a fast API
- Nice to have experience tracking text embedding modeling
- Nice to have strong knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes). Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Principal Machine Learning Engineer – Presentation and Visual Optimization 🔥 22 hours ago Paramount 10,000+ employees 📱 Media 👥 B2C Website LinkedIn All Job Openings Principal Machine Learning Engineer at Paramount leading visual presentation optimization for global streaming. Focusing on combining machine learning, product design, and visual psychology to enhance user engagement. 🇺🇸 United States – Remote 💵 $234k - $250k / year ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Python PyTorch Spark Tensorflow Staff Machine Learning Engineer, AI Serving 🕒 2 days ago Reddit, Inc. 501 - 1000 👥 B2C 📱 Media 🌍 Social Impact Website LinkedIn All Job Openings Staff Machine Learning Engineer developing large-scale ML Inference Platform at Reddit. Leading design and maintenance of GPU-based model serving system while collaborating across teams. 🇺🇸 United States – Remote 💵 $253.3k - $354.6k / year ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer AWS Cloud Kubernetes Python PyTorch Terraform Go Staff Machine Learning Engineer, Ads Measurement Modeling 🕒 2 days ago Reddit, Inc. 501 - 1000 👥 B2C 📱 Media 🌍 Social Impact Website LinkedIn All Job Openings Staff Machine Learning Engineer at Reddit leading ads identity modeling solutions architecture. Collaborating with cross-functional teams to define strategy and best practices. 🇺🇸 United States – Remote 💵 $230k - $322k / year ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer Kafka PyTorch Spark Tensorflow Staff Software Engineer, Machine Learning, Computer Vision 🕒 6 days ago DeepWalk 11 - 50 ☁️ SaaS 🏛️ Government 🤝 B2B Website LinkedIn All Job Openings Staff Software Engineer leading technical direction of computer vision platform for automated sidewalk inspection at DeepWalk. Collaborating closely with experienced engineers to tackle large-scale production ML systems. 🇺🇸 United States – Remote 💵 $150k - $190k / year 💰 $1.4M Seed Round - DeepWalk on 2023-05 ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer AWS Azure Cloud Distributed Systems Google Cloud Platform Java Python TypeScript Go Principal Machine Learning Revenue Architect 🕒 April 29 NBCUniversal 10,000+ employees 📱 Media Website LinkedIn All Job Openings Principal Machine Learning Revenue Architect at FreeWheel leading the development of MLR solutions through collaboration and technical expertise. Fostering innovation and driving economic growth in advertising technology. 🇺🇸 United States – Remote 💵 $163k - $382.1k / year ⏰ Full Time 🔴 Lead 🤖 Machine Learning Engineer 🦅 H1B Visa Sponsor Hadoop Python Spark View More Machine Learning Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
machine learningdata sciencesupervised learningunsupervised learningdata pipelinesend-to-end ML workflowsmodel developmenttext embedding modelinggenerative AILLMs
Soft Skills
mentorshipcollaborationcommunicationengineering culturecode reviews
Certifications
B.S. in Computer ScienceM.S. in Computer SciencePh.D. in Computer Science