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Senior Software Engineer, Machine Learning

1 hour, 19 minutes ago
United States
Full-time
Senior
Software Engineer
Software Development
AWS Kubernetes Machine Learning MLOps Python PyTorch
Apply Now
AssemblyAI

AssemblyAI

AssemblyAI is a leading provider of AI models for transcribing and understanding speech. Their Speech AI models offer accurate speech-to-text conversion, speaker detection, sentiment analysis, and more, enabling users to extract valuable insights from ...

Media
51-250
Founded 2017
$63M raised
View All Jobs 6

Description

  • Design and implement tooling that helps researchers deploy and evaluate new models in production quickly.
  • Build and maintain high-performance, cost-efficient inference pipelines with attention to scaling, reliability, and cost trade-offs.
  • Identify and resolve infrastructure bottlenecks that slow model iteration or reduce production reliability.
  • Develop and maintain user-facing APIs that interact with machine learning systems.
  • Implement observability solutions to monitor model performance and system health.
  • Troubleshoot and lead resolution of complex production issues across distributed systems, including root-cause analysis and prevention.
  • Set direction for MLOps practices and reduce friction between research and production workflows.
  • Collaborate with research and engineering teams on technical direction and system improvements.
  • Help onboard and mentor engineers on ML infrastructure best practices.

Requirements

  • Strong backend engineering experience with Python.
  • Experience building and operating distributed, containerized applications, preferably on AWS.
  • Proficiency implementing observability solutions, including monitoring, logging, alerting, and tracing, for production systems.
  • Ability to design and implement resilient, scalable architectures.
  • Track record of independently scoping and delivering complex technical projects from problem identification through production deployment.
  • Comfort navigating ambiguity and making pragmatic technical decisions when requirements are unclear or evolving.
  • MLOps experience, including familiarity with PyTorch and Kubernetes, is preferred.
  • Experience owning technical direction in a fast-paced environment is preferred.
  • Experience collaborating with remote, globally distributed teams is preferred.
  • Comfort working across the entire ML lifecycle from model serving to API development is preferred.
  • Experience in audio-related domains such as ASR, TTS, or other audio processing is preferred.
  • Experience with other cloud providers is preferred.
  • Familiarity with Bazel and monorepos is preferred.
  • Experience with alternative ML inference frameworks beyond PyTorch is preferred.
  • Experience with other programming languages is preferred.
  • Experience mentoring junior engineers or onboarding teammates onto complex systems is preferred.

Benefits

  • Salary range of $195,000 to $225,000.
  • Competitive compensation aligned to company size, stage, and industry.
  • Pay equity and internal equity considerations in salary decisions.
  • Opportunity to join a small, high-ownership team with outsized impact.
  • Potential for growth at a proven, fast-scaling AI company.
  • Commitment to equal opportunity and inclusive hiring.
  • Guidance and resources for candidates on AI use in the interview process.

Interested in this position?

Apply directly on the company website

Apply Now

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