Posted:
1/8/2025, 4:04:51 PM
Location(s):
New York, United States ⋅ New York, New York, United States ⋅ San Francisco, California, United States ⋅ California, United States
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
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.
Website: https://www.baseten.co/
Headquarter Location: San Francisco, California, United States
Employee Count: 1-10
Year Founded: 2019
IPO Status: Private
Last Funding Type: Series A
Industries: Artificial Intelligence (AI) ⋅ Developer Tools ⋅ Machine Learning ⋅ Software ⋅ Software Engineering