Baseten

Security Engineer

Remote

$150,000 – $250,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates must have at least 3 years of experience in a Security Engineer or similar security-focused role, ideally in a fast-paced startup environment. A strong knowledge of cloud security, particularly AWS and GCP, as well as container security and infrastructure-as-code best practices is essential. Hands-on experience with security tooling such as SIEM, IDS/IPS, and vulnerability scanners is also required.

Responsibilities

The Security Engineer will collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud environments and container orchestration platforms. They will lead proactive vulnerability assessments and remediation efforts, develop incident response processes, oversee identity and access management strategies, ensure compliance with relevant standards, and develop security training programs for employees. Additionally, they will partner with DevOps teams to integrate security into the CI/CD pipeline.

Skills

Vulnerability Management
Penetration Testing
Incident Response
IAM
AWS
GCP
Container Orchestration
Security Architecture
Security Design
Security Compliance
SOC 2
ISO 27001

Baseten

Platform for deploying and managing ML models

About Baseten

Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.

Key Metrics

San Francisco, CaliforniaHeadquarters
2019Year Founded
$58.4MTotal Funding
SERIES_BCompany Stage
AI & Machine LearningIndustries
51-200Employees

Benefits

💰 Competitive compensation: We aim to provide 90th percentile (or better) salaries and equity grants for every team member commensurate with their experience.
🌎 Remote-first work environment: The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. We provide a $1,000 stipend for you to make your home office comfortable and productive.
🏓 Regular in-person team summits: We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better.
🌴 Unlimited PTO: We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year's Day.
🏥 Full healthcare coverage: Medical, dental and vision insurance for you and your family.
🍼 Paid parental leave: 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work.
📈 401(k): Company-sponsored 401(k) for you to contribute to.
🧠: Learning and development budget: We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen.

Risks

Increased competition from specialized AI models tailored for specific industries.
Potential over-reliance on Google Cloud Marketplace may limit flexibility and control.
Rapid AI model development could render Baseten's offerings obsolete without continuous innovation.

Differentiation

Baseten offers a serverless backend for machine-learning applications with auto-scaling.
Truss, an open-source model packaging framework, allows seamless deployment of custom models.
Baseten's platform provides comprehensive monitoring tools for efficient model performance tracking.

Upsides

Integration with Google Cloud Marketplace boosts visibility and customer acquisition potential.
$40M Series B funding enhances Baseten's platform capabilities and market reach.
Chains framework positions Baseten for complex AI workflows, attracting sophisticated projects.

Land your dream remote job 3x faster with AI