Software Engineer - Fullstack (Core Product)

Posted:
7/9/2024, 10:24:19 AM

Location(s):
California, United States ⋅ San Francisco, California, United States ⋅ New York, New York, United States ⋅ New York, United States

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Software Engineering

Workplace Type:
Remote

ABOUT BASETEN

We're a growing team of builders backed by top-tier investors including IVP, Spark Capital, and Sarah Guo at Conviction. ML teams at enterprises and category-defining AI-native companies like Descript, Bland, and Patreon 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!

As a Full-Stack Engineer, you’ll envision and build elegant systems and abstractions around the complexities our users encounter in shipping their ML products. This can range from UI builders which empower our js-averse users to create complex UIs, to systems that make ML models serving and monitoring more approachable.

We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten.

AS A FULL-STACK ENGINEER, YOU:

  • Have experience shipping rich, interactive frontends; bonus points if you have experience with React + TypeScript.

  • Are comfortable building interfaces that are data-intensive and building tools for technical audiences.

  • Have experience establishing standards and best practices for other developers.

  • Have experience with backend development using Python and Django.

  • Don’t need to have prior ML experience, but are open to learning about it.

YOU ALSO:

  • Can own products and projects end-to-end; engineers and designers at Baseten also function as PMs, so we’d like everyone on the team to be able to empathize with our users, understand/write project specs, and manage the end-to-end execution of projects.

  • Are comfortable with navigating ambiguity and enjoy the journey as much as the destination.

  • Are motivated by customer problems and find joy in creating simple, elegant solutions that avoid unnecessary complexity.

  • Exercise good judgment on tradeoffs and tools needed to solve the problem and don’t over index on trendy/fashionable tech unless it’s the right tool for the job.

  • Demonstrate pride, ownership, and accountability for your work and expect the same from your teammates.

OUR CURRENT TECH STACK

Frontend — React + TypeScript + GraphQL + Cypress

Backend — Python + Django + Postgres

Infrastructure — Kubernetes + Knative

WHAT WE OFFER

  • 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.

Baseten

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