DigitalOcean

Senior Software Engineer II – AI/ML

DigitalOcean

full-time

Posted on:

Location Type: Remote

Location: MassachusettsTexasUnited States

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Salary

💰 $167,200 - $209,000 per year

Job Level

Tech Stack

About the role

  • Own a technical area by providing technical leadership for a team
  • Drive large cross-functional projects independently to completion
  • Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
  • Maintain and develop APIs and SDKs
  • Collaborate on design and UX
  • Build and scale products to achieve operational excellence
  • Independently ship product features from planning to launch to maintenance with high autonomy
  • Collaborate with other engineers to find elegant architectures and solutions

Requirements

  • 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
  • Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
  • Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
  • Demonstrated design and UX sensibilities, especially for technical teams
  • Knowledge of API standards including REST, Python, or Go
Benefits
  • Competitive salary
  • Reimbursement for relevant conferences
  • Training and education support
  • Access to LinkedIn Learning's 10,000+ courses
  • Employee Assistance Program
  • Local Employee Meetups
  • Flexible time off policy
  • Equity compensation including grants and Employee Stock Purchase Program
  • Bonus eligibility based on performance
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonGoAPIsSDKsML platformsAI techniquesevaluationslanguage modelingcomputer visionproduction-grade systems
Soft Skills
technical leadershipcollaborationdesign sensibilitiesUX sensibilitieseffective trade-offsautonomy