
Artificial Intelligence • SaaS • Enterprise
Baseten is a company that provides fast, scalable model inference services, designed for performance, security, and a delightful developer experience. They offer tools to streamline the entire development process, enabling high-throughput inference and fast deployment times. Baseten caters to enterprise companies by delivering robust, secure, and scalable model serving solutions, particularly useful for machine learning and AI model deployment. Their solutions allow organizations to efficiently manage model infrastructure while focusing on creating domain-specific models. Baseten supports open-source model packaging and offers autoscaling features to handle varying demand efficiently.
11 - 50 employees
Founded 2020
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $8M Seed Round on 2022-04
May 22
🏄 California – Remote
💵 $200k - $270k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor

Artificial Intelligence • SaaS • Enterprise
Baseten is a company that provides fast, scalable model inference services, designed for performance, security, and a delightful developer experience. They offer tools to streamline the entire development process, enabling high-throughput inference and fast deployment times. Baseten caters to enterprise companies by delivering robust, secure, and scalable model serving solutions, particularly useful for machine learning and AI model deployment. Their solutions allow organizations to efficiently manage model infrastructure while focusing on creating domain-specific models. Baseten supports open-source model packaging and offers autoscaling features to handle varying demand efficiently.
11 - 50 employees
Founded 2020
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $8M Seed Round on 2022-04
• As a Senior Infrastructure Software Engineer at Baseten, you'll architect and lead development of our ML inference platform that powers production AI applications. • You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability.
• Bachelor's degree or higher in Computer Science or related field • 5+ years experience building production infrastructure systems • Expert-level proficiency in Go, with Python experience a plus • Deep expertise with Kubernetes in production environments • Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus. • Advanced understanding of distributed systems concepts and performance tuning • Proven experience designing observability systems • Track record of leading technical initiatives and mentoring engineers • Experience with ML/AI workloads and MLOps platforms highly valued
• Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums, remote-first culture). • A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era. • An inclusive and supportive work culture that fosters learning and growth. • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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