Armis Logo

Armis

Principal Machine Learning Engineer

Posted Yesterday
Remote
Hiring Remotely in USA
184K-250K Annually
Expert/Leader
Remote
Hiring Remotely in USA
184K-250K Annually
Expert/Leader
Design, build, and maintain scalable AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists and engineers to implement and optimize AI solutions, troubleshoot pipeline issues, document best practices, and develop MVP code to transition into production-ready systems.
The summary above was generated by AI

Armis, the cyber exposure management & security company, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously see, protect and manage all critical assets - from the ground to the cloud. Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7.

Armis is a privately held company headquartered in California.

AI Pipeline Engineer/  Principal Machine Learning Engineer - REMOTE

Strategic Initiatives Team

Armis is seeking a talented and motivated AI Pipeline Engineer to join our Strategic Initiatives team. Reporting to the Sr. Director of Engineering, this role will be instrumental in developing and optimizing our AI infrastructure.

Responsibilities:

  • Design, build, and maintain robust AI pipelines for data processing, model training, and deployment.
  • Collaborate with data scientists and engineers to implement cutting-edge AI solutions.
  • Optimize existing AI infrastructure for performance, scalability, and reliability.
  • Troubleshoot and resolve issues in the AI pipeline environment.
  • Document and maintain best practices for AI pipeline development and deployment
  • Develop and implement Minimum Viable Product (MVP) code for AI initiatives.
  • Collaborate with other engineers to transition MVP code to production-ready systems.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
  • Proven experience in building and managing AI/ML pipelines.
  • Proficiency in Python and other relevant programming languages.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of data processing and machine learning concepts.

Salary range guidance for this position is:   $184,000- $250,000

Bonus  and Pre-IPO Equity

The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity.

Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.

Please click here to review our privacy practices.

HQ

Armis Palo Alto, California, USA Office

300 Hamilton Ave, Palo Alto, CA, United States

Similar Jobs

17 Days Ago
In-Office or Remote
131K-191K Annually
Expert/Leader
131K-191K Annually
Expert/Leader
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Lead architecture and delivery of production-grade applied AI systems (LLMs, retrieval, agents). Solve cross-stack technical problems, define platform direction on AWS, optimize data and database design, improve quality/QA and observability, mentor a ~20-person team, and translate ambiguous product opportunities into measurable technical outcomes.
Top Skills: Agentic/AgentsAPIsAWSBackend ServicesData PipelinesDevOpsGraph DatabasesLlmsMachine LearningObservabilityProduction OperationsPythonRelational DatabasesRetrieval (Rag)
5 Days Ago
Remote
Expert/Leader
Expert/Leader
Software
As an AI/ML Architect, you will define architecture for AI solutions, guide teams, mentor, and align initiatives with business goals, focusing on ethical practices.
Top Skills: Aws SagemakerAzure MlDockerFaissGcp Vertex AiGeminiKubeflowKubernetesLlamaMlflowOpenaiPineconePythonWeaviate
29 Minutes Ago
Remote or Hybrid
5 Locations
91K-322K Annually
Senior level
91K-322K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and manage internal investigations, develop and implement compliance policies, advise on regulatory requirements, analyze operational risks, communicate findings to stakeholders, coach and lead teams, and support compliance program implementation and training to strengthen internal controls and ethical standards.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account