Remote Staff Machine Learning Engineer

Summary

Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Requirements

• A bachelor’s degree in Statistics, Computer Science, related technical field, or equivalent practical experience
• A minimum of 6 years of experience in a quantitative role, with ideally much of that as a machine learning engineer or a data scientist
• Knowledge of and expertise in Natural Language Processing (NLP)
• Proficiency in a data query language (e.g. SQL), and a programming language (e.g. Python)
• Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
• Being an excellent team player with a proven ability to work effectively in cross-functional teams, showing a high degree of collaboration, flexibility, and respect for diverse perspectives
• An ability to be self-directed after work is assigned and help less experienced team members to get unblocked

Responsibilities

• Apply statistical and machine learning techniques to process and analyze unstructured textual data
• Develop and finetune machine learning models for tasks such as entity recognition, classification, and text generation
• Utilize pretrained language models (e.g. GPT, LLAMA) and adapt them for specific use cases
• Optimize the models for production usage, including considerations for scalability, latency, and resource
• Monitor and refine deployed models for performance and efficiency, and conduct troubleshooting when necessary
• Work closely with interdisciplinary teams to deliver high-quality features and solutions
• Stay current with advancements in NLP research, methodologies, and best practices
• Be consistently productive and operate with a high degree of autonomy

Benefits

• Generous performance-based bonus plans to all regular employees - we share in our success as one team
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave
• Employee referral bonus program
• Other benefits (life/AD&D, disability, EAP, etc. - varies by country)