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Machine Learning Engineer
Confirmed live in the last 24 hours
San Francisco, CA, USA
Experience Level
Desired Skills
Natural Language Processing (NLP)
  • 5+ years of software engineering with versatile experience in ML systems
  • Have a solid grasp on the MLOps ecosystem
  • You have acquired best practices to lead the team towards building a robust ML infrastructure
  • You obsess about SLAs
  • Proficiency in programming languages and libraries (PyTorch) that enable efficient server-side deployments
  • You have built high performance online serving infrastructure
  • Experience in building ML products using cloud-based platforms
  • Solid machine learning background and familiarity with standard speech, NLP, and machine learning techniques with experience with at least one major deep learning framework
  • Experience with MLOps tools such as MLflow, Kubeflow, Metaflow, Airflow, Seldon Core, TFServing etc
  • Autoscaling, containers, performance tuning and optimization
  • Take ownership of productionalizing, optimizing, and scaling of machine learning systems to power speech and NLP-based product features
  • Work on building a robust ML infrastructure that accelerates ML team output and enables continuous improvement - orchestration of pipelines, model versioning, data versioning, model monitoring, model serving, experimentation etc
  • Bring in the best software engineering practices to a growing ML organization
  • Join a fantastic, tight-knit team at the right time: we're growing super quickly, we just raised our Series A from some of the top investors in the valley, and we've achieved product-market fit. You'd join at a magical time when a single person could significantly change the course of the company
  • Do your life's work with people you'll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply
  • Global in nature: We're live in South Korea and Japan, and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, and Seoul, and you'll have the opportunity to talk to users in each of these regions on a regular basis as well as travel
  • Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn and right now 99% of people never achieve their goal because the process is broken. We're helping millions of people achieve their goals and improve their lives

11-50 employees

AI English tutoring software