Baseten Logo

Baseten

Software Engineer - Dedicated Inference

Reposted 2 Months Ago
Hybrid
Toronto, ON, CAN
Junior
Hybrid
Toronto, ON, CAN
Junior
As a Software Engineer, you'll build and maintain Baseten's core product, design APIs, implement features, fix issues, and collaborate with teams.
The summary above was generated by AI

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. 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. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs, observability, and debugging workflows, you'll build the tools customers rely on every day to manage mission-critical inference deployments.

Few teams at Baseten have as much breadth and visibility as Dedicated Inference. The team is often at the forefront of new product development, giving engineers the opportunity to shape the experience of some of our most important customers.

EXAMPLE INITIATIVES

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

  • Chains for multi-component workflows

  • Asynchronous inference

  • Model APIs for frontier models

  • Model training built for production inference

RESPONSIBILITIES

  • Implement new features and products for the team

  • Design ergonomic APIs and abstractions to solve customer problems

  • Fix bugs and resolve customer issues with urgency

  • Work across the stack - regardless of where you start, you’ll end up touching both React Components and Kubernetes Pods

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

REQUIREMENTS

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

  • Proficient coding abilities in one or more popular programming or scripting languages; Python, Go, or JavaScript proficiency is a plus

  • Familiarity with web applications & 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

  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents

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

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • (U.S. only) 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.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Similar Jobs

24 Minutes Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead the design and implementation of AI products for edge devices, optimizing machine learning models under edge-compute constraints. Work with petabyte-scale sensor, video, text, diagnostic, transaction, and location data; collaborate with ML, firmware, hardware, and full-stack engineers; prototype new AI experiences; ship production systems at scale; and mentor ML engineers.
Top Skills: C++Computer VisionEdge AiIotMachine LearningPythonRust
24 Minutes Ago
Easy Apply
Remote or Hybrid
CA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Leads a new Contract and Billing Resolution team supporting mid-market and commercial accounts. Builds the team, playbooks, intake and routing processes, case-management systems, service levels, reporting, and root-cause analysis. Escalates complex billing and contract disputes, partners across Customer Success, Sales, Finance, Legal, and Operations, and drives improvements to reduce recurring errors and renewal risk.
Top Skills: Artificial Intelligence ToolsCpqGainsightJIRANetSuiteSalesforceSlackSweethawkZendesk
24 Minutes Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead product design for strategic initiatives across web and mobile applications, from problem framing through launch and iteration. Engage customers, use research and product data to guide decisions, leverage AI design tools, ship code across design systems and products, and collaborate with product and engineering teams. The role also involves mentoring designers and solving complex, ambiguous problems in a fast-paced environment.
Top Skills: CursorFigma MakeInternet Of Things (Iot)Mobile ApplicationsWeb Applications

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account