Role overview

Product Engineer- Dedicated Inference

Requirements and responsibilities

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Details

  • Chains for multi-component workflows
  • Asynchronous inference
  • Model APIs for frontier models
  • Model training built for production inference
  • 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
  • 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
  • Competitive compensation, including meaningful equity.
  • 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
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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Browse stack
FocusDedicated InferenceRole area
Seniority signalOpen levelCandidate level
StackJavaScript, Kubernetes, PythonPrimary skills
Location1 accepted countryEligibility

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