We’re a growing team of builders backed by top-tier investors, including IVP, Spark Capital, Greylock, and Sarah Guo at Conviction. ML teams at enterprises and category-defining AI-native companies like Descript, Bland.ai, Patreon, Writer, and Robust Intelligence use Baseten to power their core production workloads with best-in-class performance, security, and reliability. While we’ve unlocked PMF and secured Series B funding, the ML infrastructure market is massive, and we’re just getting started. If you’re excited to work on engaging and relevant problems while building something new from the ground up, come join us!
THE ROLE:
As a Developer Success Engineer at Baseten, you will bridge the gap between engineering and our developer community, ensuring users have an exceptional experience with our ML infrastructure platform. This role combines technical problem-solving, customer advocacy, and product development to help customers successfully implement ML solutions at scale using Baseten's open-source Truss system.
RESPONSIBILITIES:
Partner with our Forward Deployed Engineering team to provide technical support and build tools and capabilities that enhance developer success, diving deep into customer use cases and helping them achieve their goals with Baseten's platform
Develop and maintain documentation, tutorials, and technical guides that enable developers to effectively use Baseten's products
Contribute to product development by implementing new features and fixing bugs based on developer feedback and needs
Own the internal tools used to streamline customer support
Act as a technical liaison between customers and internal engineering teams, providing critical feedback to influence product development and feature prioritization
Collaborate with cross-functional teams to understand and improve ML deployment workflows and user experience
REQUIREMENTS:
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field
1+ years of professional work experience in a fast-paced, high-growth environment
Strong proficiency in Python and experience with ML/AI concepts and workflows
Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly
High degree of customer empathy and proven ability to understand both high-level goals and technical details
Ability to work autonomously and prioritize effectively in an ambiguous, fast-paced environment
Experience with developer tools, CI/CD, and version control systems
NICE TO HAVE:
Experience with ML model deployment and optimization
Prior experience in a customer-facing technical role
Contributions to open-source projects or technical documentation
Familiarity with MLOps tools and best practices
BENEFITS:
Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums)
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
Apply Now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
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At Baseten, we’re on an exciting journey, and we’re looking for a passionate Developer Success Engineer to join our team in the SF Bay Area! If you're someone who loves bridging engineering and the developer community, this role might be an ideal fit for you. You'll play a crucial part in ensuring our users have an outstanding experience with our innovative ML infrastructure platform. You’ll be diving deep into customer use cases, so understanding machine learning concepts is key. Your day-to-day tasks will include partnering with our Forward Deployed Engineering team to provide vital technical support, developing comprehensive documentation, and crafting tutorials that empower developers to excel. You’ll also collaborate with internal teams to groove the ML deployment workflows, ensuring your insights directly influence product development. A background in Computer Science or a related field, plus hands-on experience in Python, is essential. If you have customer advocacy experience or have worked in a fast-paced tech environment, that’s a huge plus! Here at Baseten, we’re all about fostering an inclusive, growth-driven work culture, so if you’re eager to learn and grow within a supportive environment while making waves in AI, come join our thriving team. you won't just be another cog in the wheel; you'll play a pivotal role in shaping the future of machine learning technologies!
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