Remote Machine Learning Engineer

Summary

Join a dynamic team at SoundHound AI as we scale our model training and supply chain, working on data engineering, automation, tooling, and monitoring to deliver ASR products. This role offers a unique opportunity to touch all knobs in making industry-grade ASR products, with meaningful contributions expected.

Requirements

• Have very strong python coding skills, are up-to-date with the latest standards and are advocate of best practices
• Have regularly worked with spark/pyspark and other big data tools, have worked as a data scientist, ML engineer or similar
• Have built complex data pipelines to support machine learning products
• Are a critical thinker and data driven with a strong sense of ownership that you employ to ensure customer success
• Have a strong sense of the bottomline, you thrive on building synergies and delivering value to customers and coworkers

Responsibilities

• Work with a team of ML engineers to debug, train (pyspark, pytorch, kubernetes), and benchmark ASR models (LM and end-to-end), and work on automating those steps out
• Attend to a portfolio of products and key accounts, by monitoring ASR performance, seeking out issues and solving them
• Develop tools around automation and data engineering to streamline our processes and help with the scalability needs arising from the recent merges
• Develop tools to improve our model diagnostics abilities
• Communicate at least weekly with key stakeholders around ASR performance, and the resolution of ongoing issues
• Engineer data pipelines to support our portfolio of ASR products

Preferred Qualifications

• Are knowledgeable on ASR and particularly Language Modeling and end-to-end systems
• Are proficient in cloud technologies such as kubernetes, docker, vault, terraform
• Have experience with distributed systems
• Have worked on generative AI and data generation
• Are a DB and data management wizard

Benefits

• Comprehensive healthcare
• Paid time off