Senior Software Engineer - Core Product

Reposted 2 Days Ago
2 Locations
In-Office
190K-250K Annually
Senior level
Software
The Role
As a Senior Software Engineer, you will build and maintain Baseten's core product, mentor junior engineers, and drive improvements in product development.
Summary Generated by Built In

ABOUT BASETEN

Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.

THE ROLE

As a Senior Software Engineer on the Core Product team at Baseten, you'll be building and maintaining the core Baseten product, enabling users to deploy & get value from ML models as easily as possible. As a developer-oriented product, we have a massive surface area, including all of our CLI tools, REST APIs, and the web application. The Core Product team is at the forefront of all new product development at the company.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Core Product team:

  • Chains for multi-component workflows

  • Asynchronous inference

  • Model APIs for frontier models

  • Model training built for production inference

RESPONSIBILITIES

  • Own and lead projects and areas of the product

  • Mentor & develop junior engineers

  • Design ergonomic APIs and abstractions to solve customer problems. Enable more junior engineers to do the same

  • Fix bugs & resolve customer issues with urgency

  • Drive long-term improvements to improve reliability of systems and velocity of development

  • Work closely with the product & forward deployed engineering teams to develop and drive new product ideas

REQUIREMENTS

  • Bachelor's degree or higher in Computer Science or related field

  • 5+ years experience building software applications

  • Deep knowledge of the web stack & databases

  • Good taste in product, particularly developer-oriented tools

  • Interest in ML/AI infrastructure and willingness to learn

  • Strong collaboration and communication skills

BENEFITS

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Company-facilitated 401(k)

  • 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.

Top Skills

APIs
Databases
Machine Learning
Web Stack
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The Company
59 Employees

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.

Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.

We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.

Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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