Staff Machine Learning Engineer
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Einführung
Mozilla Corporation, a non-profit-backed technology company, is seeking a Staff Machine Learning Engineer to join their Fakespot team. The team's mission is to bring trust and transparency to the eCommerce space using machine learning technologies. The role involves developing and optimizing machine learning models for tasks like entity recognition and text generation. The ideal candidate will have a background in Statistics or Computer Science, expertise in Natural Language Processing, and experience with full lifecycle of machine learning models.
Aufgaben
- 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
Voraussetzungen
- Bachelor’s degree in Statistics, Computer Science, related technical field, or equivalent practical experience
- 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
- 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
- Ability to be self-directed after work is assigned and help less experienced team members to get unblocked
Benefits
- Generous performance-based bonus plans to all regular employees
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting
- Quarterly all-company wellness days
- 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)
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